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Location

The course takes place on Tuesdays, 15:15-17:00, lecture hall: IBMM EG Raum 001 (Gewo5_001)

Reading material

The course builds on the Systems Biology book ​by Uri Alon, which is highly recommended.

Recommended further study material:

online courses covering related topics:

Uri Alon: Systems Biology

Jeff Gore: MIT open courseware

For more advanced studies of dynamical systems read Steven Strogatz' s book and lecture.

The booklet "Optima for animals" by R. McNeill Alexander provides a beautiful introduction to optimality principles in animal development and behaviour.er

Schedule
Evaluation/Exam

- There will be a written exam at the end of the semester on 10th January, 15:15-17:00

Exam location: EG16, DCBP.

closed book exam. no additional materials allowed, except 3 pens in 3 colors. (no calculator).

- 5 out of 6 home work assignments must be completed and handed-in on time

Learning goals

Forum

Unless hyper urgent, post your questions in the forum rather than sending emails (and check if your question is already answered). That way, other students can learn from you as well, and students may be able to provide an answer. Aaditya and myself will regularly check the forum.

The forum is password protected to prevent bots from spamming us. password is provided in the first lecture.

Assignments

Assignments are due on Tueday, 15.00, two weeks after the respective lecture.

Submit them by email to: systemsbiology2022bern@gmail.com or drop them in my post box in Baltzerstrasse 4.

Important: Provide your solutions as a single pdf (scan or take a photo if you have hand written solutions): Convert files to pdf, combine to one file, name as follows: First_Last_assignmentnumber.pdf, e.g., Benjamin_Towbin_1.pdf

Proven effort to solve 5 out of 6 assignments correctly is required to pass the course.

For each assignment, there will be a Q&A session with our teaching assistant Aaditya Saxena via google meet (https://meet.google.com/rze-qjzp-vqd) on Thursdays 12:00-13:00 before the respective assignment deadline.

Assignment 1:

solution

Assignment 2:

python notebook code (only needed if not using Mathematica)

solution

Assignment 3:

python notebook code (only needed if not using Mathematica)

solution

Assignment 4:

python notebook code

solution

Assignment 5:

no python code (on paper exercsises or written from scratch)

solution

Assignment 6:

no python code (on paper exercsises or written from scratch)

solution

pass/fail table

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