Biologie

• Aktuelle Aspekte der Biodiversität, Evolution und Ökologie I (5 LP)

  0344eB1.1
  • 23411a Seminar
    S Evolution, Systematics, and Biogeography: Concepts and Analytical Methods (Konstantina Koutroumpa)
    Zeit: 1. Block: 13.10. - 06.11.2025; Mon, Tue, Thu; 09:00 - 10:00 (Erster Termin: 13.10.2025)
    Ort: Raum 101 (Gartenhaus) (Königin-Luise-Str. 2/4)
    

    Hinweise für Studierende

    Additional module information: Evolution, Systematics, and Biogeography: Concepts and Analytical Methods
    
    UN Sustainable Development Goals (SDGs):

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.

    Kommentar

    This course provides students with both theoretical and practical foundations to address key questions in evolutionary biology, systematics, and biogeography, with a focus on macroevolutionary patterns and processes. Topics include phylogenetic inference, character evolution, gene vs. species trees, diversification dynamics, and historical biogeography. Emphasis is placed on understanding how evolutionary relationships are reconstructed, how biodiversity is classified, and how large-scale patterns of biological diversity evolve over time and across space. A range of case studies will be discussed to illustrate how these concepts are applied.

  • 23413a Seminar
    S Fungal Biology and Ecology (Matthias Rillig)
    Zeit: 2. Block: 17.11. - 28.11.2025; daily; 12:30 - 13:30 (Erster Termin: 17.11.2025)
    Ort: Kursraum II (R 026) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Fungal Biology and Ecology

    UN Sustainable Development Goals (SDGs): 2, 3, 9, 13, 15

    Kommentar

    Content:
    A detailed insight into the biology and ecology of all major fungal groups, including hands on experience with the microscopic study of fungal specimens. Additionally, current research projects will be presented which give detailed insights into current topics and methodologies of fungal ecological research.
    
    Learning objectives:
    After this module, students will possess in depth knowledge about the major taxonomic groups of fungi, their biology and ecology. They will have obtained detailed insights into current topics and methodologies of fungal ecological research.

  • 23417a Seminar
    S Applied topics in evolution and ecology (Charlotte Rafaluk)
    Zeit: Semester-long: 13.10.2025 - 06.02.2026; Mon; time according to arrangement (Erster Termin: 13.10.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module informatio: Applied topics in evolution and ecology

    Kommentar

    Content:
    The course involves preparing a stand for the Lange Nacht der Wissenschaften. The students will put forward potential ideas for information to be presented and decide together on a theme. In the seminar part we will do literature research and put together posters to be presented at the Lange Nacht der Wissenschaften with lay person accesible information on the chosen theme. In the Übung part, we will prepare the practical aspects of the stand and present at the Lange Nacht der Wissenschaften.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to interpret and present scientific information in an accessible way to members of the public.

  • 23418a Seminar
    S Integrative Taxonomy (Robert Lücking)
    Zeit: 2. Block: 17.11. - 19.12.2025; Mon, Tue, Thu, Fri; 14:00 - 15:20 (Erster Termin: 17.11.2025)
    Ort: 112
    

    Hinweise für Studierende

    Additional module information: Integrative Taxonomy

    Zusätzl. Angaben / Voraussetzungen

    Compulsory pre-course meeting on 05.11.2025, 11:00, Raum 112, Gartenhaus, Königin-Luise-Str. 2-4. Please bring your laptop.

    Kommentar

    The discovery, description, naming and identification of species is fundamental in biodiversity research as well as in the management and conservation of biological diversity. This course provides an overview of the latest concepts and methods for species delimitation and their taxonomic description.
    
    Seminar
    We study the primary literature on current concepts and debates about species delimitation and biological classification in general.
    Tutorial (Übung)
    Using examples from plants, lichens, fungi, and diatoms, we will learn how to combine molecular and morphological data, e.g. from herbarium specimens, for the correct delimitation and description of a species and how to perform nomenclatural detective work and search for existing names, along with their associated descriptions and type specimens, and evaluate their current status according to the International Code of Botanical Nomenclature. We will get also familiar with current taxonomic workflows and how to use online tools (such as the EDIT platform for cybertaxonomy). The aim is to integrate information from different sources for a taxonomic treatment that builds upon the best available insights on species limits and structured data.

  • 23411b Übung
    E Evolution, Systematics, and Biogeography: Concepts and Analytical Methods (Konstantina Koutroumpa)
    Zeit: 1. Block: 13.10. - 06.11.2025; Mon, Tue, Thu; 10:00 - 12:00 (Erster Termin: 13.10.2025)
    Ort: Raum 101 (Gartenhaus) (Königin-Luise-Str. 2/4)
    

    Hinweise für Studierende

    Additional module information: Evolution, Systematics, and Biogeography: Concepts and Analytical Methods
    
    UN Sustainable Development Goals (SDGs):

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.

    Kommentar

    In the practical exercises, students will apply analytical methods through computer-based tasks, including inferring and interpreting phylogenetic trees, analyzing trait evolution, and exploring patterns in species diversification and biogeography. They will work with a variety of datasets, using different analytical methods, software tools, and programming languages. Additionally, students will engage in quizzes and present scientific papers for discussion, further developing their critical thinking and interpretation skills. The aim of the practical exercises is to provide students with hands-on experience in applying analytical techniques to real-world data, enabling them to design research projects and evaluate evolutionary patterns in the context of systematics, biogeography, and broader evolutionary biology.

  • 23413b Übung
    E Fungal Biology and Ecology (Matthias Rillig and members of AG Rillig)
    Zeit: 2. Block: 17.11. - 28.11.2025; daily; 13:30 - 16:30 (Erster Termin: 17.11.2025)
    Ort: Kursraum II (R 026) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Fungal Biology and Ecology

    UN Sustainable Development Goals (SDGs): 2, 3, 9, 13, 15

    Kommentar

    Content:
    A detailed insight into the biology and ecology of all major fungal groups, including hands on experience with the microscopic study of fungal specimens. Additionally, current research projects will be presented which give detailed insights into current topics and methodologies of fungal ecological research.
    
    Learning objectives:
    After this module, students will possess in depth knowledge about the major taxonomic groups of fungi, their biology and ecology. They will have obtained detailed insights into current topics and methodologies of fungal ecological research.

  • 23417b Übung
    E Applied topics in evolution and ecology (Charlotte Rafaluk)
    Zeit: see details (Erster Termin: 15.02.2026)
    Ort: Hs Zoologie (R 110) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module informatio: Applied topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Meetings between 15.02.2026 and 30.03.2026 for planning and preparation. Preparation for and presentation for the Lange Nacht der Wissenschaften Juni/ Juli 2026 on the Friday before and the Saturday of the event.

    Kommentar

    Content:
    The course involves preparing a stand for the Lange Nacht der Wissenschaften. The students will put forward potential ideas for information to be presented and decide together on a theme. In the seminar part we will do literature research and put together posters to be presented at the Lange Nacht der Wissenschaften with lay person accesible information on the chosen theme. In the Übung part, we will prepare the practical aspects of the stand and present at the Lange Nacht der Wissenschaften.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to interpret and present scientific information in an accessible way to members of the public.

  • 23418b Übung
    E Integrative Taxonomy (Robert Lücking)
    Zeit: 2. Block: 17.11. - 19.12.2025; Mon, Tue, Thu, Fri; 15:20 - 17:00 Uhr (Erster Termin: 17.11.2025)
    Ort: 112
    

    Hinweise für Studierende

    Additional module information: Integrative Taxonomy

    Zusätzl. Angaben / Voraussetzungen

    Compulsory pre-course meeting on 05.11.2025, 11:00, Raum 112, Gartenhaus, Königin-Luise-Str. 2-4.
    
    Please bring your laptop.

    Kommentar

    The discovery, description, naming and identification of species is fundamental in biodiversity research as well as in the management and conservation of biological diversity. This course provides an overview of the latest concepts and methods for species delimitation and their taxonomic description.
    
    Seminar
    We study the primary literature on current concepts and debates about species delimitation and biological classification in general.
    Tutorial (Übung)
    Using examples from plants, lichens, fungi, and diatoms, we will learn how to combine molecular and morphological data, e.g. from herbarium specimens, for the correct delimitation and description of a species and how to perform nomenclatural detective work and search for existing names, along with their associated descriptions and type specimens, and evaluate their current status according to the International Code of Botanical Nomenclature. We will get also familiar with current taxonomic workflows and how to use online tools (such as the EDIT platform for cybertaxonomy). The aim is to integrate information from different sources for a taxonomic treatment that builds upon the best available insights on species limits and structured data.

• Aktuelle Aspekte der Biodiversität, Evolution und Ökologie II (5 LP)

  0344eB1.2
  • 23411a Seminar
    S Evolution, Systematics, and Biogeography: Concepts and Analytical Methods (Konstantina Koutroumpa)
    Zeit: 1. Block: 13.10. - 06.11.2025; Mon, Tue, Thu; 09:00 - 10:00 (Erster Termin: 13.10.2025)
    Ort: Raum 101 (Gartenhaus) (Königin-Luise-Str. 2/4)
    

    Hinweise für Studierende

    Additional module information: Evolution, Systematics, and Biogeography: Concepts and Analytical Methods
    
    UN Sustainable Development Goals (SDGs):

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.

    Kommentar

    This course provides students with both theoretical and practical foundations to address key questions in evolutionary biology, systematics, and biogeography, with a focus on macroevolutionary patterns and processes. Topics include phylogenetic inference, character evolution, gene vs. species trees, diversification dynamics, and historical biogeography. Emphasis is placed on understanding how evolutionary relationships are reconstructed, how biodiversity is classified, and how large-scale patterns of biological diversity evolve over time and across space. A range of case studies will be discussed to illustrate how these concepts are applied.

  • 23413a Seminar
    S Fungal Biology and Ecology (Matthias Rillig)
    Zeit: 2. Block: 17.11. - 28.11.2025; daily; 12:30 - 13:30 (Erster Termin: 17.11.2025)
    Ort: Kursraum II (R 026) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Fungal Biology and Ecology

    UN Sustainable Development Goals (SDGs): 2, 3, 9, 13, 15

    Kommentar

    Content:
    A detailed insight into the biology and ecology of all major fungal groups, including hands on experience with the microscopic study of fungal specimens. Additionally, current research projects will be presented which give detailed insights into current topics and methodologies of fungal ecological research.
    
    Learning objectives:
    After this module, students will possess in depth knowledge about the major taxonomic groups of fungi, their biology and ecology. They will have obtained detailed insights into current topics and methodologies of fungal ecological research.

  • 23417a Seminar
    S Applied topics in evolution and ecology (Charlotte Rafaluk)
    Zeit: Semester-long: 13.10.2025 - 06.02.2026; Mon; time according to arrangement (Erster Termin: 13.10.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module informatio: Applied topics in evolution and ecology

    Kommentar

    Content:
    The course involves preparing a stand for the Lange Nacht der Wissenschaften. The students will put forward potential ideas for information to be presented and decide together on a theme. In the seminar part we will do literature research and put together posters to be presented at the Lange Nacht der Wissenschaften with lay person accesible information on the chosen theme. In the Übung part, we will prepare the practical aspects of the stand and present at the Lange Nacht der Wissenschaften.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to interpret and present scientific information in an accessible way to members of the public.

  • 23418a Seminar
    S Integrative Taxonomy (Robert Lücking)
    Zeit: 2. Block: 17.11. - 19.12.2025; Mon, Tue, Thu, Fri; 14:00 - 15:20 (Erster Termin: 17.11.2025)
    Ort: 112
    

    Hinweise für Studierende

    Additional module information: Integrative Taxonomy

    Zusätzl. Angaben / Voraussetzungen

    Compulsory pre-course meeting on 05.11.2025, 11:00, Raum 112, Gartenhaus, Königin-Luise-Str. 2-4. Please bring your laptop.

    Kommentar

    The discovery, description, naming and identification of species is fundamental in biodiversity research as well as in the management and conservation of biological diversity. This course provides an overview of the latest concepts and methods for species delimitation and their taxonomic description.
    
    Seminar
    We study the primary literature on current concepts and debates about species delimitation and biological classification in general.
    Tutorial (Übung)
    Using examples from plants, lichens, fungi, and diatoms, we will learn how to combine molecular and morphological data, e.g. from herbarium specimens, for the correct delimitation and description of a species and how to perform nomenclatural detective work and search for existing names, along with their associated descriptions and type specimens, and evaluate their current status according to the International Code of Botanical Nomenclature. We will get also familiar with current taxonomic workflows and how to use online tools (such as the EDIT platform for cybertaxonomy). The aim is to integrate information from different sources for a taxonomic treatment that builds upon the best available insights on species limits and structured data.

  • 23411b Übung
    E Evolution, Systematics, and Biogeography: Concepts and Analytical Methods (Konstantina Koutroumpa)
    Zeit: 1. Block: 13.10. - 06.11.2025; Mon, Tue, Thu; 10:00 - 12:00 (Erster Termin: 13.10.2025)
    Ort: Raum 101 (Gartenhaus) (Königin-Luise-Str. 2/4)
    

    Hinweise für Studierende

    Additional module information: Evolution, Systematics, and Biogeography: Concepts and Analytical Methods
    
    UN Sustainable Development Goals (SDGs):

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.

    Kommentar

    In the practical exercises, students will apply analytical methods through computer-based tasks, including inferring and interpreting phylogenetic trees, analyzing trait evolution, and exploring patterns in species diversification and biogeography. They will work with a variety of datasets, using different analytical methods, software tools, and programming languages. Additionally, students will engage in quizzes and present scientific papers for discussion, further developing their critical thinking and interpretation skills. The aim of the practical exercises is to provide students with hands-on experience in applying analytical techniques to real-world data, enabling them to design research projects and evaluate evolutionary patterns in the context of systematics, biogeography, and broader evolutionary biology.

  • 23413b Übung
    E Fungal Biology and Ecology (Matthias Rillig and members of AG Rillig)
    Zeit: 2. Block: 17.11. - 28.11.2025; daily; 13:30 - 16:30 (Erster Termin: 17.11.2025)
    Ort: Kursraum II (R 026) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Fungal Biology and Ecology

    UN Sustainable Development Goals (SDGs): 2, 3, 9, 13, 15

    Kommentar

    Content:
    A detailed insight into the biology and ecology of all major fungal groups, including hands on experience with the microscopic study of fungal specimens. Additionally, current research projects will be presented which give detailed insights into current topics and methodologies of fungal ecological research.
    
    Learning objectives:
    After this module, students will possess in depth knowledge about the major taxonomic groups of fungi, their biology and ecology. They will have obtained detailed insights into current topics and methodologies of fungal ecological research.

  • 23417b Übung
    E Applied topics in evolution and ecology (Charlotte Rafaluk)
    Zeit: see details (Erster Termin: 15.02.2026)
    Ort: Hs Zoologie (R 110) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module informatio: Applied topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Meetings between 15.02.2026 and 30.03.2026 for planning and preparation. Preparation for and presentation for the Lange Nacht der Wissenschaften Juni/ Juli 2026 on the Friday before and the Saturday of the event.

    Kommentar

    Content:
    The course involves preparing a stand for the Lange Nacht der Wissenschaften. The students will put forward potential ideas for information to be presented and decide together on a theme. In the seminar part we will do literature research and put together posters to be presented at the Lange Nacht der Wissenschaften with lay person accesible information on the chosen theme. In the Übung part, we will prepare the practical aspects of the stand and present at the Lange Nacht der Wissenschaften.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to interpret and present scientific information in an accessible way to members of the public.

  • 23418b Übung
    E Integrative Taxonomy (Robert Lücking)
    Zeit: 2. Block: 17.11. - 19.12.2025; Mon, Tue, Thu, Fri; 15:20 - 17:00 Uhr (Erster Termin: 17.11.2025)
    Ort: 112
    

    Hinweise für Studierende

    Additional module information: Integrative Taxonomy

    Zusätzl. Angaben / Voraussetzungen

    Compulsory pre-course meeting on 05.11.2025, 11:00, Raum 112, Gartenhaus, Königin-Luise-Str. 2-4.
    
    Please bring your laptop.

    Kommentar

    The discovery, description, naming and identification of species is fundamental in biodiversity research as well as in the management and conservation of biological diversity. This course provides an overview of the latest concepts and methods for species delimitation and their taxonomic description.
    
    Seminar
    We study the primary literature on current concepts and debates about species delimitation and biological classification in general.
    Tutorial (Übung)
    Using examples from plants, lichens, fungi, and diatoms, we will learn how to combine molecular and morphological data, e.g. from herbarium specimens, for the correct delimitation and description of a species and how to perform nomenclatural detective work and search for existing names, along with their associated descriptions and type specimens, and evaluate their current status according to the International Code of Botanical Nomenclature. We will get also familiar with current taxonomic workflows and how to use online tools (such as the EDIT platform for cybertaxonomy). The aim is to integrate information from different sources for a taxonomic treatment that builds upon the best available insights on species limits and structured data.

• Aktuelle Aspekte der Biodiversität, Evolution und Ökologie III (5 LP)

  0344eB1.3
  • 23411a Seminar
    S Evolution, Systematics, and Biogeography: Concepts and Analytical Methods (Konstantina Koutroumpa)
    Zeit: 1. Block: 13.10. - 06.11.2025; Mon, Tue, Thu; 09:00 - 10:00 (Erster Termin: 13.10.2025)
    Ort: Raum 101 (Gartenhaus) (Königin-Luise-Str. 2/4)
    

    Hinweise für Studierende

    Additional module information: Evolution, Systematics, and Biogeography: Concepts and Analytical Methods
    
    UN Sustainable Development Goals (SDGs):

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.

    Kommentar

    This course provides students with both theoretical and practical foundations to address key questions in evolutionary biology, systematics, and biogeography, with a focus on macroevolutionary patterns and processes. Topics include phylogenetic inference, character evolution, gene vs. species trees, diversification dynamics, and historical biogeography. Emphasis is placed on understanding how evolutionary relationships are reconstructed, how biodiversity is classified, and how large-scale patterns of biological diversity evolve over time and across space. A range of case studies will be discussed to illustrate how these concepts are applied.

  • 23413a Seminar
    S Fungal Biology and Ecology (Matthias Rillig)
    Zeit: 2. Block: 17.11. - 28.11.2025; daily; 12:30 - 13:30 (Erster Termin: 17.11.2025)
    Ort: Kursraum II (R 026) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Fungal Biology and Ecology

    UN Sustainable Development Goals (SDGs): 2, 3, 9, 13, 15

    Kommentar

    Content:
    A detailed insight into the biology and ecology of all major fungal groups, including hands on experience with the microscopic study of fungal specimens. Additionally, current research projects will be presented which give detailed insights into current topics and methodologies of fungal ecological research.
    
    Learning objectives:
    After this module, students will possess in depth knowledge about the major taxonomic groups of fungi, their biology and ecology. They will have obtained detailed insights into current topics and methodologies of fungal ecological research.

  • 23417a Seminar
    S Applied topics in evolution and ecology (Charlotte Rafaluk)
    Zeit: Semester-long: 13.10.2025 - 06.02.2026; Mon; time according to arrangement (Erster Termin: 13.10.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module informatio: Applied topics in evolution and ecology

    Kommentar

    Content:
    The course involves preparing a stand for the Lange Nacht der Wissenschaften. The students will put forward potential ideas for information to be presented and decide together on a theme. In the seminar part we will do literature research and put together posters to be presented at the Lange Nacht der Wissenschaften with lay person accesible information on the chosen theme. In the Übung part, we will prepare the practical aspects of the stand and present at the Lange Nacht der Wissenschaften.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to interpret and present scientific information in an accessible way to members of the public.

  • 23418a Seminar
    S Integrative Taxonomy (Robert Lücking)
    Zeit: 2. Block: 17.11. - 19.12.2025; Mon, Tue, Thu, Fri; 14:00 - 15:20 (Erster Termin: 17.11.2025)
    Ort: 112
    

    Hinweise für Studierende

    Additional module information: Integrative Taxonomy

    Zusätzl. Angaben / Voraussetzungen

    Compulsory pre-course meeting on 05.11.2025, 11:00, Raum 112, Gartenhaus, Königin-Luise-Str. 2-4. Please bring your laptop.

    Kommentar

    The discovery, description, naming and identification of species is fundamental in biodiversity research as well as in the management and conservation of biological diversity. This course provides an overview of the latest concepts and methods for species delimitation and their taxonomic description.
    
    Seminar
    We study the primary literature on current concepts and debates about species delimitation and biological classification in general.
    Tutorial (Übung)
    Using examples from plants, lichens, fungi, and diatoms, we will learn how to combine molecular and morphological data, e.g. from herbarium specimens, for the correct delimitation and description of a species and how to perform nomenclatural detective work and search for existing names, along with their associated descriptions and type specimens, and evaluate their current status according to the International Code of Botanical Nomenclature. We will get also familiar with current taxonomic workflows and how to use online tools (such as the EDIT platform for cybertaxonomy). The aim is to integrate information from different sources for a taxonomic treatment that builds upon the best available insights on species limits and structured data.

  • 23411b Übung
    E Evolution, Systematics, and Biogeography: Concepts and Analytical Methods (Konstantina Koutroumpa)
    Zeit: 1. Block: 13.10. - 06.11.2025; Mon, Tue, Thu; 10:00 - 12:00 (Erster Termin: 13.10.2025)
    Ort: Raum 101 (Gartenhaus) (Königin-Luise-Str. 2/4)
    

    Hinweise für Studierende

    Additional module information: Evolution, Systematics, and Biogeography: Concepts and Analytical Methods
    
    UN Sustainable Development Goals (SDGs):

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.

    Kommentar

    In the practical exercises, students will apply analytical methods through computer-based tasks, including inferring and interpreting phylogenetic trees, analyzing trait evolution, and exploring patterns in species diversification and biogeography. They will work with a variety of datasets, using different analytical methods, software tools, and programming languages. Additionally, students will engage in quizzes and present scientific papers for discussion, further developing their critical thinking and interpretation skills. The aim of the practical exercises is to provide students with hands-on experience in applying analytical techniques to real-world data, enabling them to design research projects and evaluate evolutionary patterns in the context of systematics, biogeography, and broader evolutionary biology.

  • 23413b Übung
    E Fungal Biology and Ecology (Matthias Rillig and members of AG Rillig)
    Zeit: 2. Block: 17.11. - 28.11.2025; daily; 13:30 - 16:30 (Erster Termin: 17.11.2025)
    Ort: Kursraum II (R 026) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Fungal Biology and Ecology

    UN Sustainable Development Goals (SDGs): 2, 3, 9, 13, 15

    Kommentar

    Content:
    A detailed insight into the biology and ecology of all major fungal groups, including hands on experience with the microscopic study of fungal specimens. Additionally, current research projects will be presented which give detailed insights into current topics and methodologies of fungal ecological research.
    
    Learning objectives:
    After this module, students will possess in depth knowledge about the major taxonomic groups of fungi, their biology and ecology. They will have obtained detailed insights into current topics and methodologies of fungal ecological research.

  • 23417b Übung
    E Applied topics in evolution and ecology (Charlotte Rafaluk)
    Zeit: see details (Erster Termin: 15.02.2026)
    Ort: Hs Zoologie (R 110) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module informatio: Applied topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Meetings between 15.02.2026 and 30.03.2026 for planning and preparation. Preparation for and presentation for the Lange Nacht der Wissenschaften Juni/ Juli 2026 on the Friday before and the Saturday of the event.

    Kommentar

    Content:
    The course involves preparing a stand for the Lange Nacht der Wissenschaften. The students will put forward potential ideas for information to be presented and decide together on a theme. In the seminar part we will do literature research and put together posters to be presented at the Lange Nacht der Wissenschaften with lay person accesible information on the chosen theme. In the Übung part, we will prepare the practical aspects of the stand and present at the Lange Nacht der Wissenschaften.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to interpret and present scientific information in an accessible way to members of the public.

  • 23418b Übung
    E Integrative Taxonomy (Robert Lücking)
    Zeit: 2. Block: 17.11. - 19.12.2025; Mon, Tue, Thu, Fri; 15:20 - 17:00 Uhr (Erster Termin: 17.11.2025)
    Ort: 112
    

    Hinweise für Studierende

    Additional module information: Integrative Taxonomy

    Zusätzl. Angaben / Voraussetzungen

    Compulsory pre-course meeting on 05.11.2025, 11:00, Raum 112, Gartenhaus, Königin-Luise-Str. 2-4.
    
    Please bring your laptop.

    Kommentar

    The discovery, description, naming and identification of species is fundamental in biodiversity research as well as in the management and conservation of biological diversity. This course provides an overview of the latest concepts and methods for species delimitation and their taxonomic description.
    
    Seminar
    We study the primary literature on current concepts and debates about species delimitation and biological classification in general.
    Tutorial (Übung)
    Using examples from plants, lichens, fungi, and diatoms, we will learn how to combine molecular and morphological data, e.g. from herbarium specimens, for the correct delimitation and description of a species and how to perform nomenclatural detective work and search for existing names, along with their associated descriptions and type specimens, and evaluate their current status according to the International Code of Botanical Nomenclature. We will get also familiar with current taxonomic workflows and how to use online tools (such as the EDIT platform for cybertaxonomy). The aim is to integrate information from different sources for a taxonomic treatment that builds upon the best available insights on species limits and structured data.

• Aktuelle Aspekte der Biodiversität, Evolution und Ökologie IV (5 LP)

  0344eB1.4
  • 23411a Seminar
    S Evolution, Systematics, and Biogeography: Concepts and Analytical Methods (Konstantina Koutroumpa)
    Zeit: 1. Block: 13.10. - 06.11.2025; Mon, Tue, Thu; 09:00 - 10:00 (Erster Termin: 13.10.2025)
    Ort: Raum 101 (Gartenhaus) (Königin-Luise-Str. 2/4)
    

    Hinweise für Studierende

    Additional module information: Evolution, Systematics, and Biogeography: Concepts and Analytical Methods
    
    UN Sustainable Development Goals (SDGs):

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.

    Kommentar

    This course provides students with both theoretical and practical foundations to address key questions in evolutionary biology, systematics, and biogeography, with a focus on macroevolutionary patterns and processes. Topics include phylogenetic inference, character evolution, gene vs. species trees, diversification dynamics, and historical biogeography. Emphasis is placed on understanding how evolutionary relationships are reconstructed, how biodiversity is classified, and how large-scale patterns of biological diversity evolve over time and across space. A range of case studies will be discussed to illustrate how these concepts are applied.

  • 23413a Seminar
    S Fungal Biology and Ecology (Matthias Rillig)
    Zeit: 2. Block: 17.11. - 28.11.2025; daily; 12:30 - 13:30 (Erster Termin: 17.11.2025)
    Ort: Kursraum II (R 026) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Fungal Biology and Ecology

    UN Sustainable Development Goals (SDGs): 2, 3, 9, 13, 15

    Kommentar

    Content:
    A detailed insight into the biology and ecology of all major fungal groups, including hands on experience with the microscopic study of fungal specimens. Additionally, current research projects will be presented which give detailed insights into current topics and methodologies of fungal ecological research.
    
    Learning objectives:
    After this module, students will possess in depth knowledge about the major taxonomic groups of fungi, their biology and ecology. They will have obtained detailed insights into current topics and methodologies of fungal ecological research.

  • 23417a Seminar
    S Applied topics in evolution and ecology (Charlotte Rafaluk)
    Zeit: Semester-long: 13.10.2025 - 06.02.2026; Mon; time according to arrangement (Erster Termin: 13.10.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module informatio: Applied topics in evolution and ecology

    Kommentar

    Content:
    The course involves preparing a stand for the Lange Nacht der Wissenschaften. The students will put forward potential ideas for information to be presented and decide together on a theme. In the seminar part we will do literature research and put together posters to be presented at the Lange Nacht der Wissenschaften with lay person accesible information on the chosen theme. In the Übung part, we will prepare the practical aspects of the stand and present at the Lange Nacht der Wissenschaften.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to interpret and present scientific information in an accessible way to members of the public.

  • 23418a Seminar
    S Integrative Taxonomy (Robert Lücking)
    Zeit: 2. Block: 17.11. - 19.12.2025; Mon, Tue, Thu, Fri; 14:00 - 15:20 (Erster Termin: 17.11.2025)
    Ort: 112
    

    Hinweise für Studierende

    Additional module information: Integrative Taxonomy

    Zusätzl. Angaben / Voraussetzungen

    Compulsory pre-course meeting on 05.11.2025, 11:00, Raum 112, Gartenhaus, Königin-Luise-Str. 2-4. Please bring your laptop.

    Kommentar

    The discovery, description, naming and identification of species is fundamental in biodiversity research as well as in the management and conservation of biological diversity. This course provides an overview of the latest concepts and methods for species delimitation and their taxonomic description.
    
    Seminar
    We study the primary literature on current concepts and debates about species delimitation and biological classification in general.
    Tutorial (Übung)
    Using examples from plants, lichens, fungi, and diatoms, we will learn how to combine molecular and morphological data, e.g. from herbarium specimens, for the correct delimitation and description of a species and how to perform nomenclatural detective work and search for existing names, along with their associated descriptions and type specimens, and evaluate their current status according to the International Code of Botanical Nomenclature. We will get also familiar with current taxonomic workflows and how to use online tools (such as the EDIT platform for cybertaxonomy). The aim is to integrate information from different sources for a taxonomic treatment that builds upon the best available insights on species limits and structured data.

  • 23411b Übung
    E Evolution, Systematics, and Biogeography: Concepts and Analytical Methods (Konstantina Koutroumpa)
    Zeit: 1. Block: 13.10. - 06.11.2025; Mon, Tue, Thu; 10:00 - 12:00 (Erster Termin: 13.10.2025)
    Ort: Raum 101 (Gartenhaus) (Königin-Luise-Str. 2/4)
    

    Hinweise für Studierende

    Additional module information: Evolution, Systematics, and Biogeography: Concepts and Analytical Methods
    
    UN Sustainable Development Goals (SDGs):

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.

    Kommentar

    In the practical exercises, students will apply analytical methods through computer-based tasks, including inferring and interpreting phylogenetic trees, analyzing trait evolution, and exploring patterns in species diversification and biogeography. They will work with a variety of datasets, using different analytical methods, software tools, and programming languages. Additionally, students will engage in quizzes and present scientific papers for discussion, further developing their critical thinking and interpretation skills. The aim of the practical exercises is to provide students with hands-on experience in applying analytical techniques to real-world data, enabling them to design research projects and evaluate evolutionary patterns in the context of systematics, biogeography, and broader evolutionary biology.

  • 23413b Übung
    E Fungal Biology and Ecology (Matthias Rillig and members of AG Rillig)
    Zeit: 2. Block: 17.11. - 28.11.2025; daily; 13:30 - 16:30 (Erster Termin: 17.11.2025)
    Ort: Kursraum II (R 026) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Fungal Biology and Ecology

    UN Sustainable Development Goals (SDGs): 2, 3, 9, 13, 15

    Kommentar

    Content:
    A detailed insight into the biology and ecology of all major fungal groups, including hands on experience with the microscopic study of fungal specimens. Additionally, current research projects will be presented which give detailed insights into current topics and methodologies of fungal ecological research.
    
    Learning objectives:
    After this module, students will possess in depth knowledge about the major taxonomic groups of fungi, their biology and ecology. They will have obtained detailed insights into current topics and methodologies of fungal ecological research.

  • 23417b Übung
    E Applied topics in evolution and ecology (Charlotte Rafaluk)
    Zeit: see details (Erster Termin: 15.02.2026)
    Ort: Hs Zoologie (R 110) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module informatio: Applied topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Meetings between 15.02.2026 and 30.03.2026 for planning and preparation. Preparation for and presentation for the Lange Nacht der Wissenschaften Juni/ Juli 2026 on the Friday before and the Saturday of the event.

    Kommentar

    Content:
    The course involves preparing a stand for the Lange Nacht der Wissenschaften. The students will put forward potential ideas for information to be presented and decide together on a theme. In the seminar part we will do literature research and put together posters to be presented at the Lange Nacht der Wissenschaften with lay person accesible information on the chosen theme. In the Übung part, we will prepare the practical aspects of the stand and present at the Lange Nacht der Wissenschaften.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to interpret and present scientific information in an accessible way to members of the public.

  • 23418b Übung
    E Integrative Taxonomy (Robert Lücking)
    Zeit: 2. Block: 17.11. - 19.12.2025; Mon, Tue, Thu, Fri; 15:20 - 17:00 Uhr (Erster Termin: 17.11.2025)
    Ort: 112
    

    Hinweise für Studierende

    Additional module information: Integrative Taxonomy

    Zusätzl. Angaben / Voraussetzungen

    Compulsory pre-course meeting on 05.11.2025, 11:00, Raum 112, Gartenhaus, Königin-Luise-Str. 2-4.
    
    Please bring your laptop.

    Kommentar

    The discovery, description, naming and identification of species is fundamental in biodiversity research as well as in the management and conservation of biological diversity. This course provides an overview of the latest concepts and methods for species delimitation and their taxonomic description.
    
    Seminar
    We study the primary literature on current concepts and debates about species delimitation and biological classification in general.
    Tutorial (Übung)
    Using examples from plants, lichens, fungi, and diatoms, we will learn how to combine molecular and morphological data, e.g. from herbarium specimens, for the correct delimitation and description of a species and how to perform nomenclatural detective work and search for existing names, along with their associated descriptions and type specimens, and evaluate their current status according to the International Code of Botanical Nomenclature. We will get also familiar with current taxonomic workflows and how to use online tools (such as the EDIT platform for cybertaxonomy). The aim is to integrate information from different sources for a taxonomic treatment that builds upon the best available insights on species limits and structured data.

• Aktuelle Themen der Biodiversität, Evolution und Ökologie I (5 LP)

  0344eB1.5
  • 23415a Vorlesung
    L Classic Topics in Evolution and Ecology (Sophie Armitage)
    Zeit: see appointments (Erster Termin: 13.10.2025)
    Ort: see appointments
    

    Hinweise für Studierende

    Additional module information: Classic topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Binding preliminary meeting 13.10.2025, 11:00, Seminarraum 1, Königin-Luise-Str. 1/3

    Kommentar

    Content:
    Through this module students will obtain a deeper insight into selected current research topics in biodiversity, evolution and ecology through attending weekly lectures presented as part of the weekly seminar series on Evolution and Ecology. The module will involve critical analysis of original research, synthesis of scientific presentations, and discussion of ideas and hypotheses with a broad range of scientists. It will result in an essay written in the style of a newspaper report.
    

    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to carry out and present critical analyses of current issues and publications and prepare material for an interested general audience.
    

  • 23419a Vorlesung
    L Gender and Science: An Introduction (Martina Erlemann)
    Zeit: semester-long: 14.10.2025 - 03.02.2026; Tue; 14:00 - 18:00 (Erster Termin: 14.10.2025)
    Ort: 1.1.16 FB-Raum (Arnimallee 14)
    

    Hinweise für Studierende

    Additional module information: Gender and Science: An Introduction
    
    UN Sustainable Development Goals (SDGs): 4, 5, 7, 10, 11, 12, 13, 17

    Zusätzl. Angaben / Voraussetzungen

    The course is also open for students of the Doctoral Program "Natural Sciences" and can partly be attended asynchronously. It is possible to earn credit points for the Compulsory Component on Diversity (min. 1 CP for regular attendance).

    The course can be attended as part of the BUA Certificate Program "Gender & Diversity in Science & Technology Studies" and thus is open for all students from FU Berlin, TU Berlin, HU Berlin and Charité.

    Kommentar

    What does gender have to do with natural sciences such as physics or biology? When closely analysing the histories, cultures, practices and contents of the natural sciences, it becomes visible that gender and diversity categories have an impact on the natural sciences: from the underrepresentation of women and the situation of minorities in the sciences to gender differences in career outcomes up to gendered constructions in scientific theories, gender and diversity categories are relevant in various contexts of science. The course introduces to approaches, concepts and methods of Gender Studies for the natural sciences. The course is aimed at students of the natural sciences, the humanities and the social sciences.

  • 23420a Vorlesung
    V Political and aesthetic representation of nature in human societies (Florian Ruland)
    Zeit: 2. Block: 17.11. - 28.11.2025; Mo-Fri; 10:00 - 12:00 (Erster Termin: 17.11.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Political and aesthetic representation of nature in human societies

    Kommentar

    There is broad consensus across human societies that – in theory – nature should be protected and animals have certain rights. But to what extend measures are taken and what rights animals have or how they translate in legislature and actual protections varies vastly. What is the history of these considerations? Witnessing the extreme losses of biodiversity, habitats and populations of wildlife, we not only ask the question if nature is suffieciently represented today, we can actually answer it (it isn't). But how could it be done differently? We will explore literature on other human societies and will develop own ideas. Finally, we are investigating the loneliness of the human species as its isolation from other species progresses. How are humans filling the void? We asses virtual avatars, costumes, pets and other surrogates to multispecies coexistence in healthy ecosystems.
    Guest teachers with relevant expertise will join the class and there will be two collaborative online sessions with classes held at the UCM Madrid.

  • 23415b Seminar
    S Classic Topics in Evolution and Ecology (Sophie Armitage)
    Zeit: semester-long: 13.10.2025 - 06.02.2026; Mon; time according to arrangement (Erster Termin: 13.10.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Classic topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Binding preliminary meeting 13.10.2025, 11:00, Seminarraum 1, Königin-Luise-Str. 1/3

    Kommentar

    Content:
    Through this module students will obtain a deeper insight into selected current research topics in biodiversity, evolution and ecology through attending weekly lectures presented as part of the weekly seminar series on Evolution and Ecology. The module will involve critical analysis of original research, synthesis of scientific presentations, and discussion of ideas and hypotheses with a broad range of scientists. It will result in an essay written in the style of a newspaper report.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to carry out and present critical analyses of current issues and publications and prepare material for an interested general audience.
    

  • 23419b Seminar
    S Gender and Science: An Introduction (Martina Erlemann)
    Zeit: semester-long: 21.10.2025 - 10.02.2026; Tue; 14:00 - 16:00 (Erster Termin: 21.10.2025)
    Ort: 1.1.16 FB-Raum (Arnimallee 14)
    

    Hinweise für Studierende

    Additional module information: Gender and Science: An Introduction
    
    UN Sustainable Development Goals (SDGs): 4, 5, 7, 10, 11, 12, 13, 17

  • 23420b Seminar
    S Political and aesthetic representation of nature in human societies (Florian Ruland)
    Zeit: 2. Block: 17.11. - 28.11.2025; Mo-Fri; 13:00-14:00 (Erster Termin: 17.11.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Political and aesthetic representation of nature in human societies

    Kommentar

    There is broad consensus across human societies that – in theory – nature should be protected and animals have certain rights. But to what extend measures are taken and what rights animals have or how they translate in legislature and actual protections varies vastly. What is the history of these considerations? Witnessing the extreme losses of biodiversity, habitats and populations of wildlife, we not only ask the question if nature is suffieciently represented today, we can actually answer it (it isn't). But how could it be done differently? We will explore literature on other human societies and will develop own ideas. Finally, we are investigating the loneliness of the human species as its isolation from other species progresses. How are humans filling the void? We asses virtual avatars, costumes, pets and other surrogates to multispecies coexistence in healthy ecosystems.
    Guest teachers with relevant expertise will join the class and there will be two collaborative online sessions with classes held at the UCM Madrid.

• Aktuelle Themen der Biodiversität, Evolution und Ökologie II (5 LP)

  0344eB1.6
  • 23415a Vorlesung
    L Classic Topics in Evolution and Ecology (Sophie Armitage)
    Zeit: see appointments (Erster Termin: 13.10.2025)
    Ort: see appointments
    

    Hinweise für Studierende

    Additional module information: Classic topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Binding preliminary meeting 13.10.2025, 11:00, Seminarraum 1, Königin-Luise-Str. 1/3

    Kommentar

    Content:
    Through this module students will obtain a deeper insight into selected current research topics in biodiversity, evolution and ecology through attending weekly lectures presented as part of the weekly seminar series on Evolution and Ecology. The module will involve critical analysis of original research, synthesis of scientific presentations, and discussion of ideas and hypotheses with a broad range of scientists. It will result in an essay written in the style of a newspaper report.
    

    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to carry out and present critical analyses of current issues and publications and prepare material for an interested general audience.
    

  • 23419a Vorlesung
    L Gender and Science: An Introduction (Martina Erlemann)
    Zeit: semester-long: 14.10.2025 - 03.02.2026; Tue; 14:00 - 18:00 (Erster Termin: 14.10.2025)
    Ort: 1.1.16 FB-Raum (Arnimallee 14)
    

    Hinweise für Studierende

    Additional module information: Gender and Science: An Introduction
    
    UN Sustainable Development Goals (SDGs): 4, 5, 7, 10, 11, 12, 13, 17

    Zusätzl. Angaben / Voraussetzungen

    The course is also open for students of the Doctoral Program "Natural Sciences" and can partly be attended asynchronously. It is possible to earn credit points for the Compulsory Component on Diversity (min. 1 CP for regular attendance).

    The course can be attended as part of the BUA Certificate Program "Gender & Diversity in Science & Technology Studies" and thus is open for all students from FU Berlin, TU Berlin, HU Berlin and Charité.

    Kommentar

    What does gender have to do with natural sciences such as physics or biology? When closely analysing the histories, cultures, practices and contents of the natural sciences, it becomes visible that gender and diversity categories have an impact on the natural sciences: from the underrepresentation of women and the situation of minorities in the sciences to gender differences in career outcomes up to gendered constructions in scientific theories, gender and diversity categories are relevant in various contexts of science. The course introduces to approaches, concepts and methods of Gender Studies for the natural sciences. The course is aimed at students of the natural sciences, the humanities and the social sciences.

  • 23420a Vorlesung
    V Political and aesthetic representation of nature in human societies (Florian Ruland)
    Zeit: 2. Block: 17.11. - 28.11.2025; Mo-Fri; 10:00 - 12:00 (Erster Termin: 17.11.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Political and aesthetic representation of nature in human societies

    Kommentar

    There is broad consensus across human societies that – in theory – nature should be protected and animals have certain rights. But to what extend measures are taken and what rights animals have or how they translate in legislature and actual protections varies vastly. What is the history of these considerations? Witnessing the extreme losses of biodiversity, habitats and populations of wildlife, we not only ask the question if nature is suffieciently represented today, we can actually answer it (it isn't). But how could it be done differently? We will explore literature on other human societies and will develop own ideas. Finally, we are investigating the loneliness of the human species as its isolation from other species progresses. How are humans filling the void? We asses virtual avatars, costumes, pets and other surrogates to multispecies coexistence in healthy ecosystems.
    Guest teachers with relevant expertise will join the class and there will be two collaborative online sessions with classes held at the UCM Madrid.

  • 23415b Seminar
    S Classic Topics in Evolution and Ecology (Sophie Armitage)
    Zeit: semester-long: 13.10.2025 - 06.02.2026; Mon; time according to arrangement (Erster Termin: 13.10.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Classic topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Binding preliminary meeting 13.10.2025, 11:00, Seminarraum 1, Königin-Luise-Str. 1/3

    Kommentar

    Content:
    Through this module students will obtain a deeper insight into selected current research topics in biodiversity, evolution and ecology through attending weekly lectures presented as part of the weekly seminar series on Evolution and Ecology. The module will involve critical analysis of original research, synthesis of scientific presentations, and discussion of ideas and hypotheses with a broad range of scientists. It will result in an essay written in the style of a newspaper report.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to carry out and present critical analyses of current issues and publications and prepare material for an interested general audience.
    

  • 23419b Seminar
    S Gender and Science: An Introduction (Martina Erlemann)
    Zeit: semester-long: 21.10.2025 - 10.02.2026; Tue; 14:00 - 16:00 (Erster Termin: 21.10.2025)
    Ort: 1.1.16 FB-Raum (Arnimallee 14)
    

    Hinweise für Studierende

    Additional module information: Gender and Science: An Introduction
    
    UN Sustainable Development Goals (SDGs): 4, 5, 7, 10, 11, 12, 13, 17

  • 23420b Seminar
    S Political and aesthetic representation of nature in human societies (Florian Ruland)
    Zeit: 2. Block: 17.11. - 28.11.2025; Mo-Fri; 13:00-14:00 (Erster Termin: 17.11.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Political and aesthetic representation of nature in human societies

    Kommentar

    There is broad consensus across human societies that – in theory – nature should be protected and animals have certain rights. But to what extend measures are taken and what rights animals have or how they translate in legislature and actual protections varies vastly. What is the history of these considerations? Witnessing the extreme losses of biodiversity, habitats and populations of wildlife, we not only ask the question if nature is suffieciently represented today, we can actually answer it (it isn't). But how could it be done differently? We will explore literature on other human societies and will develop own ideas. Finally, we are investigating the loneliness of the human species as its isolation from other species progresses. How are humans filling the void? We asses virtual avatars, costumes, pets and other surrogates to multispecies coexistence in healthy ecosystems.
    Guest teachers with relevant expertise will join the class and there will be two collaborative online sessions with classes held at the UCM Madrid.

• Aktuelle Themen der Biodiversität, Evolution und Ökologie III (5 LP)

  0344eB1.7
  • 23415a Vorlesung
    L Classic Topics in Evolution and Ecology (Sophie Armitage)
    Zeit: see appointments (Erster Termin: 13.10.2025)
    Ort: see appointments
    

    Hinweise für Studierende

    Additional module information: Classic topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Binding preliminary meeting 13.10.2025, 11:00, Seminarraum 1, Königin-Luise-Str. 1/3

    Kommentar

    Content:
    Through this module students will obtain a deeper insight into selected current research topics in biodiversity, evolution and ecology through attending weekly lectures presented as part of the weekly seminar series on Evolution and Ecology. The module will involve critical analysis of original research, synthesis of scientific presentations, and discussion of ideas and hypotheses with a broad range of scientists. It will result in an essay written in the style of a newspaper report.
    

    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to carry out and present critical analyses of current issues and publications and prepare material for an interested general audience.
    

  • 23419a Vorlesung
    L Gender and Science: An Introduction (Martina Erlemann)
    Zeit: semester-long: 14.10.2025 - 03.02.2026; Tue; 14:00 - 18:00 (Erster Termin: 14.10.2025)
    Ort: 1.1.16 FB-Raum (Arnimallee 14)
    

    Hinweise für Studierende

    Additional module information: Gender and Science: An Introduction
    
    UN Sustainable Development Goals (SDGs): 4, 5, 7, 10, 11, 12, 13, 17

    Zusätzl. Angaben / Voraussetzungen

    The course is also open for students of the Doctoral Program "Natural Sciences" and can partly be attended asynchronously. It is possible to earn credit points for the Compulsory Component on Diversity (min. 1 CP for regular attendance).

    The course can be attended as part of the BUA Certificate Program "Gender & Diversity in Science & Technology Studies" and thus is open for all students from FU Berlin, TU Berlin, HU Berlin and Charité.

    Kommentar

    What does gender have to do with natural sciences such as physics or biology? When closely analysing the histories, cultures, practices and contents of the natural sciences, it becomes visible that gender and diversity categories have an impact on the natural sciences: from the underrepresentation of women and the situation of minorities in the sciences to gender differences in career outcomes up to gendered constructions in scientific theories, gender and diversity categories are relevant in various contexts of science. The course introduces to approaches, concepts and methods of Gender Studies for the natural sciences. The course is aimed at students of the natural sciences, the humanities and the social sciences.

  • 23420a Vorlesung
    V Political and aesthetic representation of nature in human societies (Florian Ruland)
    Zeit: 2. Block: 17.11. - 28.11.2025; Mo-Fri; 10:00 - 12:00 (Erster Termin: 17.11.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Political and aesthetic representation of nature in human societies

    Kommentar

    There is broad consensus across human societies that – in theory – nature should be protected and animals have certain rights. But to what extend measures are taken and what rights animals have or how they translate in legislature and actual protections varies vastly. What is the history of these considerations? Witnessing the extreme losses of biodiversity, habitats and populations of wildlife, we not only ask the question if nature is suffieciently represented today, we can actually answer it (it isn't). But how could it be done differently? We will explore literature on other human societies and will develop own ideas. Finally, we are investigating the loneliness of the human species as its isolation from other species progresses. How are humans filling the void? We asses virtual avatars, costumes, pets and other surrogates to multispecies coexistence in healthy ecosystems.
    Guest teachers with relevant expertise will join the class and there will be two collaborative online sessions with classes held at the UCM Madrid.

  • 23415b Seminar
    S Classic Topics in Evolution and Ecology (Sophie Armitage)
    Zeit: semester-long: 13.10.2025 - 06.02.2026; Mon; time according to arrangement (Erster Termin: 13.10.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Classic topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Binding preliminary meeting 13.10.2025, 11:00, Seminarraum 1, Königin-Luise-Str. 1/3

    Kommentar

    Content:
    Through this module students will obtain a deeper insight into selected current research topics in biodiversity, evolution and ecology through attending weekly lectures presented as part of the weekly seminar series on Evolution and Ecology. The module will involve critical analysis of original research, synthesis of scientific presentations, and discussion of ideas and hypotheses with a broad range of scientists. It will result in an essay written in the style of a newspaper report.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to carry out and present critical analyses of current issues and publications and prepare material for an interested general audience.
    

  • 23419b Seminar
    S Gender and Science: An Introduction (Martina Erlemann)
    Zeit: semester-long: 21.10.2025 - 10.02.2026; Tue; 14:00 - 16:00 (Erster Termin: 21.10.2025)
    Ort: 1.1.16 FB-Raum (Arnimallee 14)
    

    Hinweise für Studierende

    Additional module information: Gender and Science: An Introduction
    
    UN Sustainable Development Goals (SDGs): 4, 5, 7, 10, 11, 12, 13, 17

  • 23420b Seminar
    S Political and aesthetic representation of nature in human societies (Florian Ruland)
    Zeit: 2. Block: 17.11. - 28.11.2025; Mo-Fri; 13:00-14:00 (Erster Termin: 17.11.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Political and aesthetic representation of nature in human societies

    Kommentar

    There is broad consensus across human societies that – in theory – nature should be protected and animals have certain rights. But to what extend measures are taken and what rights animals have or how they translate in legislature and actual protections varies vastly. What is the history of these considerations? Witnessing the extreme losses of biodiversity, habitats and populations of wildlife, we not only ask the question if nature is suffieciently represented today, we can actually answer it (it isn't). But how could it be done differently? We will explore literature on other human societies and will develop own ideas. Finally, we are investigating the loneliness of the human species as its isolation from other species progresses. How are humans filling the void? We asses virtual avatars, costumes, pets and other surrogates to multispecies coexistence in healthy ecosystems.
    Guest teachers with relevant expertise will join the class and there will be two collaborative online sessions with classes held at the UCM Madrid.

• Aktuelle Themen der Biodiversität, Evolution und Ökologie IV (5 LP)

  0344eB1.8
  • 23415a Vorlesung
    L Classic Topics in Evolution and Ecology (Sophie Armitage)
    Zeit: see appointments (Erster Termin: 13.10.2025)
    Ort: see appointments
    

    Hinweise für Studierende

    Additional module information: Classic topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Binding preliminary meeting 13.10.2025, 11:00, Seminarraum 1, Königin-Luise-Str. 1/3

    Kommentar

    Content:
    Through this module students will obtain a deeper insight into selected current research topics in biodiversity, evolution and ecology through attending weekly lectures presented as part of the weekly seminar series on Evolution and Ecology. The module will involve critical analysis of original research, synthesis of scientific presentations, and discussion of ideas and hypotheses with a broad range of scientists. It will result in an essay written in the style of a newspaper report.
    

    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to carry out and present critical analyses of current issues and publications and prepare material for an interested general audience.
    

  • 23419a Vorlesung
    L Gender and Science: An Introduction (Martina Erlemann)
    Zeit: semester-long: 14.10.2025 - 03.02.2026; Tue; 14:00 - 18:00 (Erster Termin: 14.10.2025)
    Ort: 1.1.16 FB-Raum (Arnimallee 14)
    

    Hinweise für Studierende

    Additional module information: Gender and Science: An Introduction
    
    UN Sustainable Development Goals (SDGs): 4, 5, 7, 10, 11, 12, 13, 17

    Zusätzl. Angaben / Voraussetzungen

    The course is also open for students of the Doctoral Program "Natural Sciences" and can partly be attended asynchronously. It is possible to earn credit points for the Compulsory Component on Diversity (min. 1 CP for regular attendance).

    The course can be attended as part of the BUA Certificate Program "Gender & Diversity in Science & Technology Studies" and thus is open for all students from FU Berlin, TU Berlin, HU Berlin and Charité.

    Kommentar

    What does gender have to do with natural sciences such as physics or biology? When closely analysing the histories, cultures, practices and contents of the natural sciences, it becomes visible that gender and diversity categories have an impact on the natural sciences: from the underrepresentation of women and the situation of minorities in the sciences to gender differences in career outcomes up to gendered constructions in scientific theories, gender and diversity categories are relevant in various contexts of science. The course introduces to approaches, concepts and methods of Gender Studies for the natural sciences. The course is aimed at students of the natural sciences, the humanities and the social sciences.

  • 23420a Vorlesung
    V Political and aesthetic representation of nature in human societies (Florian Ruland)
    Zeit: 2. Block: 17.11. - 28.11.2025; Mo-Fri; 10:00 - 12:00 (Erster Termin: 17.11.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Political and aesthetic representation of nature in human societies

    Kommentar

    There is broad consensus across human societies that – in theory – nature should be protected and animals have certain rights. But to what extend measures are taken and what rights animals have or how they translate in legislature and actual protections varies vastly. What is the history of these considerations? Witnessing the extreme losses of biodiversity, habitats and populations of wildlife, we not only ask the question if nature is suffieciently represented today, we can actually answer it (it isn't). But how could it be done differently? We will explore literature on other human societies and will develop own ideas. Finally, we are investigating the loneliness of the human species as its isolation from other species progresses. How are humans filling the void? We asses virtual avatars, costumes, pets and other surrogates to multispecies coexistence in healthy ecosystems.
    Guest teachers with relevant expertise will join the class and there will be two collaborative online sessions with classes held at the UCM Madrid.

  • 23415b Seminar
    S Classic Topics in Evolution and Ecology (Sophie Armitage)
    Zeit: semester-long: 13.10.2025 - 06.02.2026; Mon; time according to arrangement (Erster Termin: 13.10.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Classic topics in evolution and ecology

    Zusätzl. Angaben / Voraussetzungen

    Binding preliminary meeting 13.10.2025, 11:00, Seminarraum 1, Königin-Luise-Str. 1/3

    Kommentar

    Content:
    Through this module students will obtain a deeper insight into selected current research topics in biodiversity, evolution and ecology through attending weekly lectures presented as part of the weekly seminar series on Evolution and Ecology. The module will involve critical analysis of original research, synthesis of scientific presentations, and discussion of ideas and hypotheses with a broad range of scientists. It will result in an essay written in the style of a newspaper report.
    
    Learning objectives:
    After attending the module, students have in-depth knowledge of current fields of biodiversity, evolution and ecology. They will be able to carry out and present critical analyses of current issues and publications and prepare material for an interested general audience.
    

  • 23419b Seminar
    S Gender and Science: An Introduction (Martina Erlemann)
    Zeit: semester-long: 21.10.2025 - 10.02.2026; Tue; 14:00 - 16:00 (Erster Termin: 21.10.2025)
    Ort: 1.1.16 FB-Raum (Arnimallee 14)
    

    Hinweise für Studierende

    Additional module information: Gender and Science: An Introduction
    
    UN Sustainable Development Goals (SDGs): 4, 5, 7, 10, 11, 12, 13, 17

  • 23420b Seminar
    S Political and aesthetic representation of nature in human societies (Florian Ruland)
    Zeit: 2. Block: 17.11. - 28.11.2025; Mo-Fri; 13:00-14:00 (Erster Termin: 17.11.2025)
    Ort: Seminarraum I (R 1) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Political and aesthetic representation of nature in human societies

    Kommentar

    There is broad consensus across human societies that – in theory – nature should be protected and animals have certain rights. But to what extend measures are taken and what rights animals have or how they translate in legislature and actual protections varies vastly. What is the history of these considerations? Witnessing the extreme losses of biodiversity, habitats and populations of wildlife, we not only ask the question if nature is suffieciently represented today, we can actually answer it (it isn't). But how could it be done differently? We will explore literature on other human societies and will develop own ideas. Finally, we are investigating the loneliness of the human species as its isolation from other species progresses. How are humans filling the void? We asses virtual avatars, costumes, pets and other surrogates to multispecies coexistence in healthy ecosystems.
    Guest teachers with relevant expertise will join the class and there will be two collaborative online sessions with classes held at the UCM Madrid.

• Vertiefte Biodiversität, Evolution und Ökologie I (10 LP)

  0344eB2.12
  • 23414a Vorlesung
    L Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 9:00 - 11:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants

    UN Sustainable Development Goals (SDGs): 15

    Kommentar

    After this course, students will have a better understanding of the evolution and diversity of the vegetative structures and growth forms of the main lineages of Land Plants, especially flowering plants.
    Lectures will be uploaded for the students, and introduce them to plant development from the formation of the embryo up to the sexually mature plants in extant and extinct lineages of Land Plants. They will also be provided with a deeper understanding of the developmental mechanisms and constraints shaping the morphology of their vegetative structures and the anatomy of their tissues, and their functions.
    Importantly, students will learn how to disentangle the different processes and mechanisms, especially of evolutionary tinkering and the significance of the difference between homology and parallelism or convergences, which drive and shape the diversity of vegetative structures and their ecological adaptions.
    A written final exam will be held on the last Friday of the course block (14.11.2025).
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan
    
    

  • 23414b Seminar
    S Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 11:00 - 12:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants
    
    UN Sustainable Development Goals (SDGs): 15

    Kommentar

    Based on the latest publications relating to the lecture of the previous week, students will discuss in the seminars, the contents of a recent scientific paper in light of the knowledge they previously acquired. During the seminars, students will learn to identify the novelties and significance of a recent scientific publication in light of the knowledge they recently acquired, and to analyze critically its scientific contents and design.
    They will also learn how to search and critically read scientific literature  and differentiate their personal and professional opinion, by providing constructive feed-backs and comments on a scientific paper of their choice, as long as it is relevant to the class.  
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

  • 23414c Praktikum
    P Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 13:00 - 18:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants
    
    UN Sustainable Development Goals (SDGs): 15

    Zusätzl. Angaben / Voraussetzungen

    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

    Kommentar

    During the practica, students will regularly start with a walk in the garden and greenhouses to explore the incredible diversity of the growth forms in the plant realm, and collect fresh material they will study hands on back in class. Herbarium material, slides, and material will also be used, to illustrate the diversity of vegetative structures. Students should be able at the end of the course, to reconstruct the development and life history of a plant by looking at its architecture, and explain the functional and ecological adaptations that shaped their morphology and anatomy in relation to their function(s).
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

• Vertiefte Biodiversität, Evolution und Ökologie II (10 LP)

  0344eB2.13
  • 23414a Vorlesung
    L Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 9:00 - 11:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants

    UN Sustainable Development Goals (SDGs): 15

    Kommentar

    After this course, students will have a better understanding of the evolution and diversity of the vegetative structures and growth forms of the main lineages of Land Plants, especially flowering plants.
    Lectures will be uploaded for the students, and introduce them to plant development from the formation of the embryo up to the sexually mature plants in extant and extinct lineages of Land Plants. They will also be provided with a deeper understanding of the developmental mechanisms and constraints shaping the morphology of their vegetative structures and the anatomy of their tissues, and their functions.
    Importantly, students will learn how to disentangle the different processes and mechanisms, especially of evolutionary tinkering and the significance of the difference between homology and parallelism or convergences, which drive and shape the diversity of vegetative structures and their ecological adaptions.
    A written final exam will be held on the last Friday of the course block (14.11.2025).
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan
    
    

  • 23414b Seminar
    S Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 11:00 - 12:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants
    
    UN Sustainable Development Goals (SDGs): 15

    Kommentar

    Based on the latest publications relating to the lecture of the previous week, students will discuss in the seminars, the contents of a recent scientific paper in light of the knowledge they previously acquired. During the seminars, students will learn to identify the novelties and significance of a recent scientific publication in light of the knowledge they recently acquired, and to analyze critically its scientific contents and design.
    They will also learn how to search and critically read scientific literature  and differentiate their personal and professional opinion, by providing constructive feed-backs and comments on a scientific paper of their choice, as long as it is relevant to the class.  
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

  • 23414c Praktikum
    P Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 13:00 - 18:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants
    
    UN Sustainable Development Goals (SDGs): 15

    Zusätzl. Angaben / Voraussetzungen

    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

    Kommentar

    During the practica, students will regularly start with a walk in the garden and greenhouses to explore the incredible diversity of the growth forms in the plant realm, and collect fresh material they will study hands on back in class. Herbarium material, slides, and material will also be used, to illustrate the diversity of vegetative structures. Students should be able at the end of the course, to reconstruct the development and life history of a plant by looking at its architecture, and explain the functional and ecological adaptations that shaped their morphology and anatomy in relation to their function(s).
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

• Vertiefte Biodiversität, Evolution und Ökologie III (10 LP)

  0344eB2.14
  • 23414a Vorlesung
    L Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 9:00 - 11:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants

    UN Sustainable Development Goals (SDGs): 15

    Kommentar

    After this course, students will have a better understanding of the evolution and diversity of the vegetative structures and growth forms of the main lineages of Land Plants, especially flowering plants.
    Lectures will be uploaded for the students, and introduce them to plant development from the formation of the embryo up to the sexually mature plants in extant and extinct lineages of Land Plants. They will also be provided with a deeper understanding of the developmental mechanisms and constraints shaping the morphology of their vegetative structures and the anatomy of their tissues, and their functions.
    Importantly, students will learn how to disentangle the different processes and mechanisms, especially of evolutionary tinkering and the significance of the difference between homology and parallelism or convergences, which drive and shape the diversity of vegetative structures and their ecological adaptions.
    A written final exam will be held on the last Friday of the course block (14.11.2025).
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan
    
    

  • 23414b Seminar
    S Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 11:00 - 12:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants
    
    UN Sustainable Development Goals (SDGs): 15

    Kommentar

    Based on the latest publications relating to the lecture of the previous week, students will discuss in the seminars, the contents of a recent scientific paper in light of the knowledge they previously acquired. During the seminars, students will learn to identify the novelties and significance of a recent scientific publication in light of the knowledge they recently acquired, and to analyze critically its scientific contents and design.
    They will also learn how to search and critically read scientific literature  and differentiate their personal and professional opinion, by providing constructive feed-backs and comments on a scientific paper of their choice, as long as it is relevant to the class.  
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

  • 23414c Praktikum
    P Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants (Julien Bachelier, Clément Coiffard)
    Zeit: 1. Block: 13.10. - 14.11.2025; Mon; Wed; Fri; 13:00 - 18:00 (Erster Termin: 13.10.2025)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Evolution and diversity of vegetative structures and growth forms in Land Plants, with special focus on flowering plants
    
    UN Sustainable Development Goals (SDGs): 15

    Zusätzl. Angaben / Voraussetzungen

    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

    Kommentar

    During the practica, students will regularly start with a walk in the garden and greenhouses to explore the incredible diversity of the growth forms in the plant realm, and collect fresh material they will study hands on back in class. Herbarium material, slides, and material will also be used, to illustrate the diversity of vegetative structures. Students should be able at the end of the course, to reconstruct the development and life history of a plant by looking at its architecture, and explain the functional and ecological adaptations that shaped their morphology and anatomy in relation to their function(s).
    Please do not hesitate to contact me directly by email (julien.bachelier@fu-berlin.de) to enquire about this course and request a copy of the syllabus and tentative schedule/time plan

• Computational Biology I (10 LP)

  0344eB2.3
  • 23551a Vorlesung
    L Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 9:00 - 11:20 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    Lecture:
    The lectures provide an introduction to structural equation modeling (SEM) using linear and generalized linear models and (generalized) mixed effect models, and give basics of analyzing data using these methods in the statistical software R. The lectures are accompanied by applied examples and cover the following topics:

    • Essentials of structural equation modeling (SEM) and path analysis, understanding of cause-effect relations in ecological systems
    • Similarities and differences between SEM and traditional statistical methods (regression, ANOVA, ANCOVA)
    • Overview of the SEM modelling process
    • Latent and composite variables in SEM
    • SEM specification and estimation using software R
    • Evaluation of SEM models
    • Analysis of indirect effects in SEM to test mediating mechanisms
    • Basics of grouped data and introduction to mixed effect models using software R
    • Piecewise structural equation modeling (piecewise SEM) as an alternative SEM method for the analysis of count data, proportion data and nested data with mixed effect models
    • Description of the methods and presentation of results.

    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models using piecewise SEM approach in the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types
    • Present statistical methods and results in oral and written form to a specialist audience.

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.
    
    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.
    
    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book
    
    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552a Vorlesung
    L Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 10:00 - 12:00; (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Zusätzl. Angaben / Voraussetzungen

    You will need a computer to develop the simulation models (not a tablet)! The lecture will be made available on the day before..
    Examination: Final presentations of projects (in person): 19.12.2025; 10:00 – 14:00

    Kommentar

    Content:
    The lecture provides the basics of ecological modeling and gives an introduction to the understanding, the construction and the analysis of Individual Based Models. The course will strength the accent on how to apply them to specific ecosystems. Those models are powerful tools widely used in all the of Ecology, to represent, understand and predict the dynamics of complex systems, including manifolds interactions and feedback loops. Individual (or Agent) Based Models combine a process-based approach with stochasticity and the inclusion of a spatial dynamics. In this course, models will be built and simulated using the (free) software NetLogo, a multi-agent programmable modeling environment.

    The purposes of this course are (1) to introduce the general principles of ecological modelling, and structuring a modelling approach, (2) following multiple examples to give the skills to build yourselves your own models from scratch, (3) to use your simulations results to understand complex relationships between several populations (agent) interacting with their environment (patch), (4) to perform a model analysis by running multiples simulations following a gradients of conditions, by making statistical analysis and to summarize the results into dedicated plots with the software R.

    The course will end (under supervision) with the construction of your own model, which you will use to answer your own research question on a specific ecosystem, by performing an extended model analysis. The course will end with final presentation where all groups will share their modelling project on a ”seminar” on Wednesday December 17^th.

    The lecture is accompanied by numerous applied examples.
    
    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

    Literaturhinweise

    Railsback and Grimm (2012) Agent-Based and Individual-Based Modeling. Princeton University Press. Princeton.

  • 23551b Seminar
    S Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 11:20 - 12:30 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    During the seminars, the topics covered in the lectures are deepened and discussed.

    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework and path analysis 
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models using piecewise SEM approach in the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types
    • Present statistical methods and results in oral and written form to a specialist audience

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.
    
    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.
    
    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book
    
    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552b Seminar
    S Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 12:00 - 13:00 (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Kommentar

    Content:
    Seminar:
    In the seminar, students create their own ecological model, which they program, evaluate and present to the other students. This model development will be the application of all the modelling process learnt during the course. The modelling approach, simulations and analysis will be used to answer a dedicated research questions. The presentations are discussed by all participants, during a seminar days on December 17^th. Watching others presentations helps to imagine the wide potential of Netlogo simulations.

    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

  • 23551c Seminar am PC
    S-PC Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 12:50 - 15:10 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    Seminar on the PC:
    In the seminars on the PC, students practically apply the topics and methods, learned during the lectures and seminars. Using a number of worked examples from the published ecological literature, students develop, evaluate, modify and solve the Structural Equation Models (SEM) for different data types (using linear, generalized linear and mixed effect models) using the R software under supervision and later independently. Students practice the selection of data analysis strategies using SEM for different datasets (e.g., random vs. not random samples; count vs proportional or binary data; numeric vs categorical predictors). With SEM models students analyse cause-effect connections, test direct and indirect effects and interpret the mechanisms in the study systems. With piecewise SEM students analyse grouped and nested data, calculate marginal means for categorical predictors, test the interactive effects of predictors using SEM and interpret the results in the ecologically meaningful contexts.
    
    
    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework and path analysis
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R  
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models and piecewise SEM using the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types 
    • Present statistical methods and results in oral and written form to a specialist audience.
      

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.

    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.

    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book

    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552c Seminar am PC
    S-PC Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 13:15 - 15:00 (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Kommentar

    Content:
    Seminar on the PC:
    During the computer seminar the students learn to apply the methods they learned in the lecture. With guided exercises and modelling tasks, the students learn the key mechanisms structuring an Individual Based Model. They learn of to implement those processes in the Netlogo software, and how to use it to perform simulations. They develop own models, learn basic programming skills and analyse results of model scenarios. They also learn the basics of statistical analysis to analyse and to aggregate the simulations results obtained from scenarios implying multiple simulations.
    

    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

• Computational Biology II (10 LP)

  0344eB2.4
  • 23551a Vorlesung
    L Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 9:00 - 11:20 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    Lecture:
    The lectures provide an introduction to structural equation modeling (SEM) using linear and generalized linear models and (generalized) mixed effect models, and give basics of analyzing data using these methods in the statistical software R. The lectures are accompanied by applied examples and cover the following topics:

    • Essentials of structural equation modeling (SEM) and path analysis, understanding of cause-effect relations in ecological systems
    • Similarities and differences between SEM and traditional statistical methods (regression, ANOVA, ANCOVA)
    • Overview of the SEM modelling process
    • Latent and composite variables in SEM
    • SEM specification and estimation using software R
    • Evaluation of SEM models
    • Analysis of indirect effects in SEM to test mediating mechanisms
    • Basics of grouped data and introduction to mixed effect models using software R
    • Piecewise structural equation modeling (piecewise SEM) as an alternative SEM method for the analysis of count data, proportion data and nested data with mixed effect models
    • Description of the methods and presentation of results.

    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models using piecewise SEM approach in the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types
    • Present statistical methods and results in oral and written form to a specialist audience.

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.
    
    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.
    
    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book
    
    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552a Vorlesung
    L Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 10:00 - 12:00; (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Zusätzl. Angaben / Voraussetzungen

    You will need a computer to develop the simulation models (not a tablet)! The lecture will be made available on the day before..
    Examination: Final presentations of projects (in person): 19.12.2025; 10:00 – 14:00

    Kommentar

    Content:
    The lecture provides the basics of ecological modeling and gives an introduction to the understanding, the construction and the analysis of Individual Based Models. The course will strength the accent on how to apply them to specific ecosystems. Those models are powerful tools widely used in all the of Ecology, to represent, understand and predict the dynamics of complex systems, including manifolds interactions and feedback loops. Individual (or Agent) Based Models combine a process-based approach with stochasticity and the inclusion of a spatial dynamics. In this course, models will be built and simulated using the (free) software NetLogo, a multi-agent programmable modeling environment.

    The purposes of this course are (1) to introduce the general principles of ecological modelling, and structuring a modelling approach, (2) following multiple examples to give the skills to build yourselves your own models from scratch, (3) to use your simulations results to understand complex relationships between several populations (agent) interacting with their environment (patch), (4) to perform a model analysis by running multiples simulations following a gradients of conditions, by making statistical analysis and to summarize the results into dedicated plots with the software R.

    The course will end (under supervision) with the construction of your own model, which you will use to answer your own research question on a specific ecosystem, by performing an extended model analysis. The course will end with final presentation where all groups will share their modelling project on a ”seminar” on Wednesday December 17^th.

    The lecture is accompanied by numerous applied examples.
    
    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

    Literaturhinweise

    Railsback and Grimm (2012) Agent-Based and Individual-Based Modeling. Princeton University Press. Princeton.

  • 23551b Seminar
    S Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 11:20 - 12:30 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    During the seminars, the topics covered in the lectures are deepened and discussed.

    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework and path analysis 
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models using piecewise SEM approach in the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types
    • Present statistical methods and results in oral and written form to a specialist audience

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.
    
    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.
    
    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book
    
    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552b Seminar
    S Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 12:00 - 13:00 (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Kommentar

    Content:
    Seminar:
    In the seminar, students create their own ecological model, which they program, evaluate and present to the other students. This model development will be the application of all the modelling process learnt during the course. The modelling approach, simulations and analysis will be used to answer a dedicated research questions. The presentations are discussed by all participants, during a seminar days on December 17^th. Watching others presentations helps to imagine the wide potential of Netlogo simulations.

    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

  • 23551c Seminar am PC
    S-PC Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 12:50 - 15:10 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    Seminar on the PC:
    In the seminars on the PC, students practically apply the topics and methods, learned during the lectures and seminars. Using a number of worked examples from the published ecological literature, students develop, evaluate, modify and solve the Structural Equation Models (SEM) for different data types (using linear, generalized linear and mixed effect models) using the R software under supervision and later independently. Students practice the selection of data analysis strategies using SEM for different datasets (e.g., random vs. not random samples; count vs proportional or binary data; numeric vs categorical predictors). With SEM models students analyse cause-effect connections, test direct and indirect effects and interpret the mechanisms in the study systems. With piecewise SEM students analyse grouped and nested data, calculate marginal means for categorical predictors, test the interactive effects of predictors using SEM and interpret the results in the ecologically meaningful contexts.
    
    
    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework and path analysis
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R  
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models and piecewise SEM using the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types 
    • Present statistical methods and results in oral and written form to a specialist audience.
      

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.

    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.

    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book

    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552c Seminar am PC
    S-PC Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 13:15 - 15:00 (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Kommentar

    Content:
    Seminar on the PC:
    During the computer seminar the students learn to apply the methods they learned in the lecture. With guided exercises and modelling tasks, the students learn the key mechanisms structuring an Individual Based Model. They learn of to implement those processes in the Netlogo software, and how to use it to perform simulations. They develop own models, learn basic programming skills and analyse results of model scenarios. They also learn the basics of statistical analysis to analyse and to aggregate the simulations results obtained from scenarios implying multiple simulations.
    

    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

• Computational Biology III (10 LP)

  0344eB2.5
  • 23551a Vorlesung
    L Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 9:00 - 11:20 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    Lecture:
    The lectures provide an introduction to structural equation modeling (SEM) using linear and generalized linear models and (generalized) mixed effect models, and give basics of analyzing data using these methods in the statistical software R. The lectures are accompanied by applied examples and cover the following topics:

    • Essentials of structural equation modeling (SEM) and path analysis, understanding of cause-effect relations in ecological systems
    • Similarities and differences between SEM and traditional statistical methods (regression, ANOVA, ANCOVA)
    • Overview of the SEM modelling process
    • Latent and composite variables in SEM
    • SEM specification and estimation using software R
    • Evaluation of SEM models
    • Analysis of indirect effects in SEM to test mediating mechanisms
    • Basics of grouped data and introduction to mixed effect models using software R
    • Piecewise structural equation modeling (piecewise SEM) as an alternative SEM method for the analysis of count data, proportion data and nested data with mixed effect models
    • Description of the methods and presentation of results.

    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models using piecewise SEM approach in the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types
    • Present statistical methods and results in oral and written form to a specialist audience.

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.
    
    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.
    
    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book
    
    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552a Vorlesung
    L Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 10:00 - 12:00; (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Zusätzl. Angaben / Voraussetzungen

    You will need a computer to develop the simulation models (not a tablet)! The lecture will be made available on the day before..
    Examination: Final presentations of projects (in person): 19.12.2025; 10:00 – 14:00

    Kommentar

    Content:
    The lecture provides the basics of ecological modeling and gives an introduction to the understanding, the construction and the analysis of Individual Based Models. The course will strength the accent on how to apply them to specific ecosystems. Those models are powerful tools widely used in all the of Ecology, to represent, understand and predict the dynamics of complex systems, including manifolds interactions and feedback loops. Individual (or Agent) Based Models combine a process-based approach with stochasticity and the inclusion of a spatial dynamics. In this course, models will be built and simulated using the (free) software NetLogo, a multi-agent programmable modeling environment.

    The purposes of this course are (1) to introduce the general principles of ecological modelling, and structuring a modelling approach, (2) following multiple examples to give the skills to build yourselves your own models from scratch, (3) to use your simulations results to understand complex relationships between several populations (agent) interacting with their environment (patch), (4) to perform a model analysis by running multiples simulations following a gradients of conditions, by making statistical analysis and to summarize the results into dedicated plots with the software R.

    The course will end (under supervision) with the construction of your own model, which you will use to answer your own research question on a specific ecosystem, by performing an extended model analysis. The course will end with final presentation where all groups will share their modelling project on a ”seminar” on Wednesday December 17^th.

    The lecture is accompanied by numerous applied examples.
    
    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

    Literaturhinweise

    Railsback and Grimm (2012) Agent-Based and Individual-Based Modeling. Princeton University Press. Princeton.

  • 23551b Seminar
    S Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 11:20 - 12:30 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    During the seminars, the topics covered in the lectures are deepened and discussed.

    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework and path analysis 
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models using piecewise SEM approach in the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types
    • Present statistical methods and results in oral and written form to a specialist audience

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.
    
    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.
    
    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book
    
    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552b Seminar
    S Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 12:00 - 13:00 (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Kommentar

    Content:
    Seminar:
    In the seminar, students create their own ecological model, which they program, evaluate and present to the other students. This model development will be the application of all the modelling process learnt during the course. The modelling approach, simulations and analysis will be used to answer a dedicated research questions. The presentations are discussed by all participants, during a seminar days on December 17^th. Watching others presentations helps to imagine the wide potential of Netlogo simulations.

    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

  • 23551c Seminar am PC
    S-PC Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 12:50 - 15:10 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    Seminar on the PC:
    In the seminars on the PC, students practically apply the topics and methods, learned during the lectures and seminars. Using a number of worked examples from the published ecological literature, students develop, evaluate, modify and solve the Structural Equation Models (SEM) for different data types (using linear, generalized linear and mixed effect models) using the R software under supervision and later independently. Students practice the selection of data analysis strategies using SEM for different datasets (e.g., random vs. not random samples; count vs proportional or binary data; numeric vs categorical predictors). With SEM models students analyse cause-effect connections, test direct and indirect effects and interpret the mechanisms in the study systems. With piecewise SEM students analyse grouped and nested data, calculate marginal means for categorical predictors, test the interactive effects of predictors using SEM and interpret the results in the ecologically meaningful contexts.
    
    
    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework and path analysis
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R  
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models and piecewise SEM using the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types 
    • Present statistical methods and results in oral and written form to a specialist audience.
      

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.

    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.

    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book

    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552c Seminar am PC
    S-PC Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 13:15 - 15:00 (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Kommentar

    Content:
    Seminar on the PC:
    During the computer seminar the students learn to apply the methods they learned in the lecture. With guided exercises and modelling tasks, the students learn the key mechanisms structuring an Individual Based Model. They learn of to implement those processes in the Netlogo software, and how to use it to perform simulations. They develop own models, learn basic programming skills and analyse results of model scenarios. They also learn the basics of statistical analysis to analyse and to aggregate the simulations results obtained from scenarios implying multiple simulations.
    

    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

• Computational Biology IV (10 LP)

  0344eB2.6
  • 23551a Vorlesung
    L Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 9:00 - 11:20 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    Lecture:
    The lectures provide an introduction to structural equation modeling (SEM) using linear and generalized linear models and (generalized) mixed effect models, and give basics of analyzing data using these methods in the statistical software R. The lectures are accompanied by applied examples and cover the following topics:

    • Essentials of structural equation modeling (SEM) and path analysis, understanding of cause-effect relations in ecological systems
    • Similarities and differences between SEM and traditional statistical methods (regression, ANOVA, ANCOVA)
    • Overview of the SEM modelling process
    • Latent and composite variables in SEM
    • SEM specification and estimation using software R
    • Evaluation of SEM models
    • Analysis of indirect effects in SEM to test mediating mechanisms
    • Basics of grouped data and introduction to mixed effect models using software R
    • Piecewise structural equation modeling (piecewise SEM) as an alternative SEM method for the analysis of count data, proportion data and nested data with mixed effect models
    • Description of the methods and presentation of results.

    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models using piecewise SEM approach in the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types
    • Present statistical methods and results in oral and written form to a specialist audience.

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.
    
    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.
    
    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book
    
    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552a Vorlesung
    L Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 10:00 - 12:00; (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Zusätzl. Angaben / Voraussetzungen

    You will need a computer to develop the simulation models (not a tablet)! The lecture will be made available on the day before..
    Examination: Final presentations of projects (in person): 19.12.2025; 10:00 – 14:00

    Kommentar

    Content:
    The lecture provides the basics of ecological modeling and gives an introduction to the understanding, the construction and the analysis of Individual Based Models. The course will strength the accent on how to apply them to specific ecosystems. Those models are powerful tools widely used in all the of Ecology, to represent, understand and predict the dynamics of complex systems, including manifolds interactions and feedback loops. Individual (or Agent) Based Models combine a process-based approach with stochasticity and the inclusion of a spatial dynamics. In this course, models will be built and simulated using the (free) software NetLogo, a multi-agent programmable modeling environment.

    The purposes of this course are (1) to introduce the general principles of ecological modelling, and structuring a modelling approach, (2) following multiple examples to give the skills to build yourselves your own models from scratch, (3) to use your simulations results to understand complex relationships between several populations (agent) interacting with their environment (patch), (4) to perform a model analysis by running multiples simulations following a gradients of conditions, by making statistical analysis and to summarize the results into dedicated plots with the software R.

    The course will end (under supervision) with the construction of your own model, which you will use to answer your own research question on a specific ecosystem, by performing an extended model analysis. The course will end with final presentation where all groups will share their modelling project on a ”seminar” on Wednesday December 17^th.

    The lecture is accompanied by numerous applied examples.
    
    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

    Literaturhinweise

    Railsback and Grimm (2012) Agent-Based and Individual-Based Modeling. Princeton University Press. Princeton.

  • 23551b Seminar
    S Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 11:20 - 12:30 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    During the seminars, the topics covered in the lectures are deepened and discussed.

    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework and path analysis 
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models using piecewise SEM approach in the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types
    • Present statistical methods and results in oral and written form to a specialist audience

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.
    
    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.
    
    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book
    
    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552b Seminar
    S Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 12:00 - 13:00 (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Kommentar

    Content:
    Seminar:
    In the seminar, students create their own ecological model, which they program, evaluate and present to the other students. This model development will be the application of all the modelling process learnt during the course. The modelling approach, simulations and analysis will be used to answer a dedicated research questions. The presentations are discussed by all participants, during a seminar days on December 17^th. Watching others presentations helps to imagine the wide potential of Netlogo simulations.

    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

  • 23551c Seminar am PC
    S-PC Introduction to Structural Equation Modeling with Linear, General Linaer and Mixed Models in R (Oksana Buzhdygan, Felix May)
    Zeit: 02.03. – 12.03.2026; daily; 12:50 - 15:10 (Erster Termin: 02.03.2026)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Structrual Equation Modeling with Linear, General Linear and Mixed Models in R 

    Zusätzl. Angaben / Voraussetzungen

    Prior knowledge in R and linear models including regression, ANOVA and ANCOVA is required. Please use the computer not a tablet because R is difficult to install on a tablet.

    Kommentar

    Content:
    Seminar on the PC:
    In the seminars on the PC, students practically apply the topics and methods, learned during the lectures and seminars. Using a number of worked examples from the published ecological literature, students develop, evaluate, modify and solve the Structural Equation Models (SEM) for different data types (using linear, generalized linear and mixed effect models) using the R software under supervision and later independently. Students practice the selection of data analysis strategies using SEM for different datasets (e.g., random vs. not random samples; count vs proportional or binary data; numeric vs categorical predictors). With SEM models students analyse cause-effect connections, test direct and indirect effects and interpret the mechanisms in the study systems. With piecewise SEM students analyse grouped and nested data, calculate marginal means for categorical predictors, test the interactive effects of predictors using SEM and interpret the results in the ecologically meaningful contexts.
    
    
    Learning objectives:
    In this module the students acquire the following knowledge and skills:

    • Gain basic knowledge of structural equation modeling (SEM) framework and path analysis
    • Learn how to develop, evaluate, refine, solve, and interpret structural equation models
    • Master basic skills to analyze data with SEM in the software R  
    • Gain basic knowledge of piecewise SEM and how it differs from the classical SEM
    • Master basic skills to implement in the SEM count, binary, proportion, and categorical response variables, as well as nested data with the mixed effect models and piecewise SEM using the software R
    • Gain basic understanding of causal relations, bottom-up and top-down control, and how to calculate direct and indirect effects in ecological and biological systems (e.g., communities, food webs, ecosystems)
    • Independently apply SEM for different data types 
    • Present statistical methods and results in oral and written form to a specialist audience.
      

    Literaturhinweise

    Grace (2006) Structural Equation Modeling and Natural Systems. Cambridge Univ. Press.

    Shipley, B. (2016). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R. Cambridge university press.

    Lefcheck (2021) Piecewise Structural Equation Modeling in Ecological Research: https://jslefche.github.io/sem_book

    Shipley, B. (2009). Confirmatory path analysis in a generalized multilevel context. Ecology, 90(2), 363-368.

  • 23552c Seminar am PC
    S-PC Introduction to Ecological Modelling (Felix May, Felix Nößler)
    Zeit: 2. Block: 24.11. - 12.12.2025; Mon, Wed, Fri; 13:15 - 15:00 (Erster Termin: 24.11.2025)
    Ort: Seminarraum AG Tietjen (R212) (Königin-Luise-Str. 2 / 4)
    

    Hinweise für Studierende

    Additional module information: Introduction to Ecological Modelling

    Kommentar

    Content:
    Seminar on the PC:
    During the computer seminar the students learn to apply the methods they learned in the lecture. With guided exercises and modelling tasks, the students learn the key mechanisms structuring an Individual Based Model. They learn of to implement those processes in the Netlogo software, and how to use it to perform simulations. They develop own models, learn basic programming skills and analyse results of model scenarios. They also learn the basics of statistical analysis to analyse and to aggregate the simulations results obtained from scenarios implying multiple simulations.
    

    Learning objectives:
    After completing this module, students will have basic knowledge of the quantitative assessment and dynamics of an ecosystem or ecosystem components (e.g., populations). They are able to describe positive or negative feedbacks between system components using models and master the basics of programming.

• Erweiterte Biodiversität, Evolution und Ökologie I (10 LP)

  0344eB2.7
  • 23412a Vorlesung
    L Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 14:00 - 16:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

  • 23412b Seminar
    S Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 16:00 -17:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

  • 23412c Praktikum
    P Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 9:00 - 14:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

• Erweiterte Biodiversität, Evolution und Ökologie II (10 LP)

  0344eB2.8
  • 23412a Vorlesung
    L Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 14:00 - 16:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

  • 23412b Seminar
    S Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 16:00 -17:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

  • 23412c Praktikum
    P Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 9:00 - 14:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

• Erweiterte Biodiversität, Evolution und Ökologie III (10 LP)

  0344eB2.9
  • 23412a Vorlesung
    L Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 14:00 - 16:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

  • 23412b Seminar
    S Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 16:00 -17:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

  • 23412c Praktikum
    P Molecular Phylogenetics (Thomas Borsch)
    Zeit: 3. Block; 05.01. - 23.01.2026; daily; 9:00 - 14:00 (Erster Termin: 05.01.2026)
    Ort: Kursraum III (R 028) (Altensteinstr. 6)
    

    Hinweise für Studierende

    Additional module information: Molecular Phylogenetics
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Please bring your laptop.
    
    Compulsory pre-course meeting on 04.12.2025, 12:00, Konferenzraum A105 BGBM, Königin-Luise Str. 6-8 (Entrance on the left side of the Botanical Museum)

    Kommentar

    Understanding phylogenetic relationships is of fundamental importance in biology. Today phylogenetic hypotheses enable a wide field of further themes such as character and trait evolution, tempo and mode of species diversification, taxonomic classification, and historical biogeography. This course aims at an introduction into phylogenetic theory and methods to generate molecular phylogenetic trees. The course will use selected groups of flowering plants as exemplars to reconstruct phylogenetic trees using DNA sequence data. It will start with the collection and documentation of plant material (living collection and herbarium of the BGBM) and the isolation of genomic DNA. Subsequently, laboratory steps including PCR amplification and sequencing will be carried out. The primary data (such as pherograms) will be analyzed, assembled and processed into a matrix of sequence characters. Data matrices will then be analyzed with a spectrum of methods and computer programs to reconstruct phylogenetic trees. The trees will be illustrated using software and discussed in relation to the knowledge gained on the respective study group. The course employs a mini-project approach with which participants can to a large extent generate and analyze their own data.
    
    The lecture and seminar part will address the theory of phylogenetics (cladistics), homology and definition of characters comparing DNA and morphology, sources of molecular characters from the different genomic compartments (plastid, mitochondrial, nuclear), study design, multiple sequence alignment, models of sequence evolution, phylogenetic tree reconstruction using parsimony, Maximum Likelihood and Bayesian Inference, evaluation of node confidence, the use of phylogenetic trees to understand character and trait evolution and to inform classification, as well as current trends in molecular phylogenetics and our understanding of the evolutionary diversification of plants. While the course works with plants, the basic concepts and methods are also applicable to other groups of organisms.

    Literaturhinweise

    V. Knoop & K. Müller (2009): Gene und Stammbäume – Ein Handbuch zur molekularen Phylogenetik. 2.Aufl. Spektrum Akademischer Verlag [ebook available through Primo/Springer: https://link.springer.com/book/10.1007/978-3-8274-2230-9/]

• Spezielle Biodiversität, Evolution und Ökologie I (15 LP)

  0344eB3.4
  • 23416a Vorlesung
    L Experimental and Theoretical Evolutionary Ecology (J. Wolinska, J. Jeschke, F. Hölker, M. T. Monaghan)
    Zeit: by arrangement (Erster Termin: 17.10.2025)
    Ort: Ehrenberg-Saal (R 126-132) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Experimental and Theoretical Evolutionary Ecology 

    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Pre-meeting on October 17th 2025 at 14:00
    
    This block course will mainly take place in the semester break in March (but some elements will last until June, see "Kommentar"). The exact timing will be discussed with the course participants in the pre-meeting.

    Kommentar

    Different empirical and theoretical research methods will be presented and applied, particularly experimental design (focusing on such aspects as stating research hypotheses, planning proper controls, choosing an appropriate number of replicates, avoiding pseudoreplications, etc.), observational field studies, mathematical modelling, and research synthesis. Selected topics in evolutionary ecology will be covered, for example the life history of organisms (incl. traits such as lifespan, age of first reproduction, fecundity) or predator-prey interactions (functional responses, prey defenses, predator offenses); current topics will be featured as well. The students will conduct a small research project, in groups, which will be written up in the format of a real research paper. Finally, each student will conduct an individual research project (ca. 40 hours) in April/May and present the results at the concluding symposium in June.

  • 23416b Seminar
    S Experimental and Theoretical Evolutionary Ecology (J. Wolinska, J. Jeschke, F. Hölker, M. T. Monaghan)
    Zeit: by arrangement (Erster Termin: 17.10.2025)
    Ort: Ehrenberg-Saal (R 126-132) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    This block course will mainly take place in the semester break in March (but some elements will last until June, see "Kommentar"). The exact timing will be discussed with the course participants in the pre-meeting.
    
    

    Additional module information: Experimental and Theoretical Evolutionary Ecology
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Pre-meeting on October 17th 2025 at 14:00

    Kommentar

    Different empirical and theoretical research methods will be presented and applied, particularly experimental design (focusing on such aspects as stating research hypotheses, planning proper controls, choosing an appropriate number of replicates, avoiding pseudoreplications, etc.), observational field studies, mathematical modelling, and research synthesis. Selected topics in evolutionary ecology will be covered, for example the life history of organisms (incl. traits such as lifespan, age of first reproduction, fecundity) or predator-prey interactions (functional responses, prey defenses, predator offenses); current topics will be featured as well. The students will conduct a small research project, in groups, which will be written up in the format of a real research paper. Finally, each student will conduct an individual research project (ca. 40 hours) in April/May and present the results at the concluding symposium in June.

  • 23416c Praktikum
    P Experimental and Theoretical Evolutionary Ecology (J. Wolinska, J. Jeschke, F. Hölker, M. T. Monaghan und Mitarbeitende der AGs)
    Zeit: by arrangement (Erster Termin: 17.10.2025)
    Ort: Ehrenberg-Saal (R 126-132) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    This block course will mainly take place in the semester break in March (but some elements will last until June, see "Kommentar"). The exact timing will be discussed with the course participants in the pre-meeting.
    
    

    Additional module information: Experimental and Theoretical Evolutionary Ecology
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Pre-meeting on October 17th 2025 at 14:00

    Kommentar

    The practical part of this module contains several elements: (a) one-day exercises (e.g. on predator-prey interactions), (b) a small research project done in teams based on which the course participants will prepare a short manuscript (they will receive detailed feedback on it), and (c) a ca. 40-hr individual research project in April/May (each participant will present the results of their project at the concluding symposium of the course in June).

• Spezielle Biodiversität, Evolution und Ökologie II (15 LP)

  0344eB3.5
  • 23416a Vorlesung
    L Experimental and Theoretical Evolutionary Ecology (J. Wolinska, J. Jeschke, F. Hölker, M. T. Monaghan)
    Zeit: by arrangement (Erster Termin: 17.10.2025)
    Ort: Ehrenberg-Saal (R 126-132) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    Additional module information: Experimental and Theoretical Evolutionary Ecology 

    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Pre-meeting on October 17th 2025 at 14:00
    
    This block course will mainly take place in the semester break in March (but some elements will last until June, see "Kommentar"). The exact timing will be discussed with the course participants in the pre-meeting.

    Kommentar

    Different empirical and theoretical research methods will be presented and applied, particularly experimental design (focusing on such aspects as stating research hypotheses, planning proper controls, choosing an appropriate number of replicates, avoiding pseudoreplications, etc.), observational field studies, mathematical modelling, and research synthesis. Selected topics in evolutionary ecology will be covered, for example the life history of organisms (incl. traits such as lifespan, age of first reproduction, fecundity) or predator-prey interactions (functional responses, prey defenses, predator offenses); current topics will be featured as well. The students will conduct a small research project, in groups, which will be written up in the format of a real research paper. Finally, each student will conduct an individual research project (ca. 40 hours) in April/May and present the results at the concluding symposium in June.

  • 23416b Seminar
    S Experimental and Theoretical Evolutionary Ecology (J. Wolinska, J. Jeschke, F. Hölker, M. T. Monaghan)
    Zeit: by arrangement (Erster Termin: 17.10.2025)
    Ort: Ehrenberg-Saal (R 126-132) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    This block course will mainly take place in the semester break in March (but some elements will last until June, see "Kommentar"). The exact timing will be discussed with the course participants in the pre-meeting.
    
    

    Additional module information: Experimental and Theoretical Evolutionary Ecology
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Pre-meeting on October 17th 2025 at 14:00

    Kommentar

    Different empirical and theoretical research methods will be presented and applied, particularly experimental design (focusing on such aspects as stating research hypotheses, planning proper controls, choosing an appropriate number of replicates, avoiding pseudoreplications, etc.), observational field studies, mathematical modelling, and research synthesis. Selected topics in evolutionary ecology will be covered, for example the life history of organisms (incl. traits such as lifespan, age of first reproduction, fecundity) or predator-prey interactions (functional responses, prey defenses, predator offenses); current topics will be featured as well. The students will conduct a small research project, in groups, which will be written up in the format of a real research paper. Finally, each student will conduct an individual research project (ca. 40 hours) in April/May and present the results at the concluding symposium in June.

  • 23416c Praktikum
    P Experimental and Theoretical Evolutionary Ecology (J. Wolinska, J. Jeschke, F. Hölker, M. T. Monaghan und Mitarbeitende der AGs)
    Zeit: by arrangement (Erster Termin: 17.10.2025)
    Ort: Ehrenberg-Saal (R 126-132) (Königin-Luise-Str. 1 / 3)
    

    Hinweise für Studierende

    This block course will mainly take place in the semester break in March (but some elements will last until June, see "Kommentar"). The exact timing will be discussed with the course participants in the pre-meeting.
    
    

    Additional module information: Experimental and Theoretical Evolutionary Ecology
    
    UN Sustainable Development Goals (SDGs): 14, 15

    Zusätzl. Angaben / Voraussetzungen

    Pre-meeting on October 17th 2025 at 14:00

    Kommentar

    The practical part of this module contains several elements: (a) one-day exercises (e.g. on predator-prey interactions), (b) a small research project done in teams based on which the course participants will prepare a short manuscript (they will receive detailed feedback on it), and (c) a ca. 40-hr individual research project in April/May (each participant will present the results of their project at the concluding symposium of the course in June).

• Forschungsprojekt: Biodiversität, Evolution und Ökologie (15 LP)

  0344eC1.1
  • 23581B5a Seminar
    S Research Project Biodiversity, Evolution and Ecology (Oksana Buzhdygan)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581J1a Seminar
    S Research Project Biodiversity, Evolution and Ecology (Jonathan Jeschke)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581M4a Seminar
    S Research Project Biodiversity, Evolution and Ecology (Michael Thomas Monaghan)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581Ma5a Seminar
    S Research Project Biodiversity, Evolution and Ecology (Felix May)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581S4a Seminar
    S Research Project Biodiversity, Evolution and Ecology (Tanja Straka)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581W3a Seminar
    S Research Project Biodiversity, Evolution and Ecology (Justyna Wolinska)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581a Seminar
    S Research Project Biodiversity, Evolution and Ecology (Hochschullehrerinnen und Hochschullehrer des Masterstudiengangs)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581B5b Praktikum
    P Research Project Biodiversity, Evolution and Ecology (Oksana Buzhdygan)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn. Die Anmeldung erfolgt über Campus Management oder ggf. über das Prüfungsbüro.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581J1b Praktikum
    P Research Project Biodiversity, Evolution and Ecology (Jonathan Jeschke)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn. Die Anmeldung erfolgt über Campus Management oder ggf. über das Prüfungsbüro.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581M4b Praktikum
    P Research Project Biodiversity, Evolution and Ecology (Michael Thomas Monaghan)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn. Die Anmeldung erfolgt über Campus Management oder ggf. über das Prüfungsbüro.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581Ma5b Praktikum
    P Research Project Biodiversity, Evolution and Ecology (Felix May)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn. Die Anmeldung erfolgt über Campus Management oder ggf. über das Prüfungsbüro.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581S4b Praktikum
    P Research Project Biodiversity, Evolution and Ecology (Tanja Straka)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn. Die Anmeldung erfolgt über Campus Management oder ggf. über das Prüfungsbüro.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581W3b Praktikum
    P Research Project Biodiversity, Evolution and Ecology (Justyna Wolinska)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn. Die Anmeldung erfolgt über Campus Management oder ggf. über das Prüfungsbüro.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23581b Praktikum
    P Research Project Biodiversity, Evolution and Ecology (Hochschullehrerinnen und Hochschullehrer des Masterstudiengangs)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Forschungsprojekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn. Die Anmeldung erfolgt über Campus Management oder ggf. über das Prüfungsbüro.

    Kommentar

    Das Forschungsprojekt ist verpflichtend und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

• Projekt: Biodiversität, Evolution und Ökologie (10 LP)

  0344eC2.1
  • 23591a Seminar
    S Project Biodiversity, Evolution and Ecology (Hochschullehrerinnen und Hochschullehrer des Masterstudiengangs)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Projekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Projekt kann fakultativ absolviert werden und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

  • 23591b Praktikum
    P Project Biodiversity, Evolution and Ecology (Hochschullehrerinnen und Hochschullehrer des Masterstudiengangs)
    Zeit: -
    Ort: keine Angabe
    

    Hinweise für Studierende

    Zusätzliche Modulinfos: Modulbeschreibung Projekt Biodiversität, Evolution und Ökologie

    Zusätzl. Angaben / Voraussetzungen

    Die Anmeldung erfolgt nach Absprache mit der/ dem jeweiligen DozentIn.

    Kommentar

    Das Projekt kann fakultativ absolviert werden und egal ob es intern oder extern absolviert werden soll, vom Studierenden vorab beim Prüfungsbüro anzumelden. Bevor das "Forschungsprojekt" begonnen werden kann, ist die Genehmigung über den Prüfungsausschuss einzuholen. Den Ablauf der Anmeldung finden Sie auf der Internetseite des Prüfungsbüros Biologie.

• Module ohne Lehrangebot in diesem Semester

  18 Module
  • Introduction to Advanced Biology 0344eA1.1
  • Aktuelle Themen der Paläontologie I (5 LP) 0344eB1.10
  • Aktuelle Themen der Paläontologie II (5 LP) 0344eB1.11
  • Aktuelle Themen der Paläontologie III (5 LP) 0344eB1.12
  • Aktuelle Themen der Paläontologie IV (5 LP) 0344eB1.13
  • Forschungsthemen der Pflanzenbiologie am DCPS (5 LP) 0344eB1.14
  • Neue Trends der ökologischen Wissenschaften (5 LP) 0344eB1.15
  • Ökologie von Pflanze - Tier Interaktionen (5 LP) 0344eB1.16
  • Sammlungsmanagement - Kuration (5 LP) 0344eB1.17
  • Aktuelle Themen der Gewässerökologie: Struktur, Funktion und Dynamik (5 LP) 0344eB1.9
  • Angewandte Bioinformatik I (10 LP) 0344eB2.1
  • Flora und Vegetation ausgewählter Standorte I (10 LP) 0344eB2.10
  • Flora und Vegetation ausgewählter Standorte II (10 LP) 0344eB2.11
  • Angewandte Bioinformatik II (10 LP) 0344eB2.2
  • Molekulare & Chemische Ökologie von Pflanze - Tier Interaktionen (15 LP) 0344eB3.1
  • Molekulare Physiologie der pflanzlichen Akklimatisation und Adaption (15 LP) 0344eB3.2
  • Ökologie der Pflanzen, Pilze und Mikroorganismen (15 LP) 0344eB3.3
  • Spezialisierung zu ausgewählten Themen der Biodiversität, Evolution und Ökologi e (20 LP) 0344eB4.1