BMT-52406 Models of Gene Networks, 3 cr

Implementation BMT-52406 2017-01

Description

From this course the student will know how to do exact stochastic simulations, delayed stochastic simulations, and how to create models of delayed stochastic gene regulatory networks. Students will become familiar with detailed models and experimental results related to single gene expression and its underlying mechanisms. Also, the student will be introduced to basic concepts of cell type and cell differentiation and learn the latest modeling techniques in these topics.

Lessons

Period 1
Methods of instruction Luento, Tentti, Harjoitukset
Person responsible Andre Sanches Ribeiro

Assessment scale

Numerical evaluation scale (0-5)

Requirements

a) Exercises (Must complete 50% of exercise points. 80% provides a bonus).
b) Final exam (50% of the final grade).
c) Project work (50% of the final grade).

Additional information of course implementation

https://www.cs.tut.fi/~sanchesr/BMT-52406/index.htm

Exam Tue 17.10.2017 17:00 - 20:00
Exam Mon 27.11.2017 17:00 - 20:00
Exam Tue 09.01.2018 17:00 - 20:00
BMT-52406 Models of Gene Networks/Lec/01 Mon 28.08.2017 12:00 - 14:00
BMT-52406 Models of Gene Networks/Lec/01 Mon 04.09.2017 12:00 - 14:00
BMT-52406 Models of Gene Networks/Lec/01 Mon 11.09.2017 12:00 - 14:00
BMT-52406 Models of Gene Networks/Lec/01 Mon 18.09.2017 12:00 - 14:00
BMT-52406 Models of Gene Networks/Lec/01 Mon 25.09.2017 12:00 - 14:00
BMT-52406 Models of Gene Networks/Lec/01 Mon 02.10.2017 12:00 - 14:00
BMT-52406 Models of Gene Networks/Lec/01 Mon 09.10.2017 12:00 - 14:00
BMT-52406 Models of Gene Networks/E/01 Wed 30.08.2017 14:00 - 16:00
BMT-52406 Models of Gene Networks/E/01 Wed 06.09.2017 14:00 - 16:00
BMT-52406 Models of Gene Networks/E/01 Wed 13.09.2017 14:00 - 16:00
BMT-52406 Models of Gene Networks/E/01 Wed 20.09.2017 14:00 - 16:00
BMT-52406 Models of Gene Networks/E/01 Wed 27.09.2017 14:00 - 16:00
BMT-52406 Models of Gene Networks/E/01 Wed 04.10.2017 14:00 - 16:00
BMT-52406 Models of Gene Networks/E/01 Wed 11.10.2017 14:00 - 16:00