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Theory Module - Theoretical Ecology and Ecological Data Science

BIO-M-TM-TE

Module coordinator: Prof. Dr. Florian Hartig

Module contents
The aim of the module is to address current questions in ecology and evolutionary biology using computational methods. To this end, the module provides application-oriented introductions to key methods in statistics, simulation modeling, and machine learning / AI. In addition, the module provides an overview of important concepts of ecology and evolutionary biology.
No.Module componentCP

registration /

proof of academic achievement

1.

at least two lectures in the field of theoretical ecology / data science, suggested lectures see below:

 

  • Introduction to statistics and data science in R (54371, link SPUR)
  • Advanced regression models (54375, link SPUR)
  • Machine Learning and Deep Learning (54379, link SPUR)
  • Bayesian Statistics (54378, link SPUR)

For an overview of currently offered courses, see https://www.uni-regensburg.de/biologie-vorklinische-medizin/forschen/arbeitsgruppen/ag-hartig/teaching (externer Link, öffnet neues Fenster)

6

 

Students starting before the winter semester 26/27: Registration is not required for the lectures. There is no exam to sit. However, the content of the lectures may form part of the oral exam.

 

Students starting in the winter semester 26/27 or later: Portfolio (collection of exercises and reflective tasks completed alongside the lectures). Please ask the module coordinator about the requirements. Once it has been finalised, the portfolio must be registered in FlexNow.

The portfolio is not graded.

2.Group seminar Theoretical Ecology (54374, link SPUR (externer Link, öffnet neues Fenster))2

seminar presentation, regular participation

 

You must register for the seminars. Information on how to register see in SPUR.

Once you have attended a seminar, it must be registered in FlexNow.

The seminar is not graded.

3.30 min oral examination covering the entire module (graded)4

Examiner:

Prof. Dr. Florian Hartig

 

Please get in contact with the examiner of your choice to arrange a date of the oral examination, than register the examination in FlexNow.

The oral examination is graded (= module grade).

 

Note! If you are unsure which lectures and seminars to choose, please contact the module coordinator for advice. Your choice may depend on which examiner you select for the module examination.

Module download:

For students starting before the winter semester 26/27: BIO-M-TM-TE (pdf) (öffnet neues Fenster). (nicht barrierefrei)

For students starting in the winter semester 26/27 or later: BIO-M-TM-TE (pdf) (öffnet neues Fenster). (nicht barrierefrei)

Practical Module - Theoretical Ecology and Ecological Data Science

BIO-M-PM-TE

Module coordinator: Prof. Dr. Florian Hartig

Module contents
A guided research project in biostatistics, machine learning or AI, ecological or evolutionary simulation models, or theoretical ecology.
Module componentCPproof of academic achievement

Laboratory course (6 weeks): Theoretical Ecology (54373; link SPUR) (externer Link, öffnet neues Fenster)

 

Contact the module coordinator to find a supervisor for the laboratory course. 

The date of the laboratory course will then be arranged with the supervisor.

12Portfolio (graded)*

*The portfolio examination contains following:

  • Internship report of 4.000–10.000 words, including a bibliography, 
  • scientific presentation (15-30 min), 
  • practical scientific work, 
  • data, protocols, and records -including electronic data- from scientific work, prepared in accordance with the principles of good scientific practice. 

The grade of the portfolio is based on the evaluation of the report, the presentation, and the practical work in the lab. The supervisor of the laboratory course can use a template for the evaluation - Evaluation of a practical module - PDF (öffnet neues Fenster) (externer Link, öffnet neues Fenster).
The completed evaluation should then be given to the student as feedback.

Module download:

For students starting before the winter semester 26/27: BIO-M-PM-TE (pdf) (öffnet neues Fenster). (nicht barrierefrei)

For students starting in the winter semester 26/27 or later: BIO-M-PM-TE (pdf) (öffnet neues Fenster). (nicht barrierefrei)

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