Module Number

BIOINF4393 (entspricht BIO-4393)
Module Title

Mathematical Methods in (Medical) Systems Biology
Lecture Type(s)

Seminar
ECTS 3
Work load
- Contact time
- Self study
Workload:
90 h
Class time:
30 h / 2 SWS
Self study:
60 h
Duration 1 Semester
Frequency Irregular
Language of instruction English
Type of Exam

Written elaboration and presentation based on it

Content

This seminar focuses on the key concepts of computational, mathematical, and statistical models used in cancer and cancer medicine, and helps students learn how mathematical models help us understand cancer progression. The technical articles used in this seminar provide the biological background and describe the development of both classical mathematical models and more recent representations of biological processes. Therefore, students will examine existing mathematical models and learn to deal with the key parameters involved in modeling and the impact of changes in these parameters to discuss how they relate to treatment, prevention, or policy making in general. Through discussions of published work, students will learn how to critically evaluate a modeling effort and how to communicate modeling results to readers of scientific journals. The seminar is useful for students who use experimental techniques as an approach in the laboratory and want to use computational modeling as a tool to gain a deeper understanding of experiments.

Objectives

Students learn to apply methods of mathematical modelling to systems biology models. This includes
- Have knowledge of the basic concepts of biological networks, the basic structure of systems biology models and the analysis of complex biological systems using mathematical and scientific skills through scientific publications.
- Have knowledge and understanding of how to formulate mathematical models of cellular processes and biochemical reactions and estimate their model parameters.
- Know the main areas in cancer where mathematical modelling has contributed to our understanding of how to read a mathematical modelling paper in all its aspects (methods, results, discussion).

Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Practical Course
P
o
2
3.0
tp
g
100
Prerequisite for participation INFM1010 Mathematics for Computer Science 1: Analysis,

INFM1020 Mathematics for Computer Science 2: Linear Algebra,

INFM2010 Mathematics for Computer Science 3: Advanced Topics
Lecturer / Other Mostolizadeh
Literature

Originalarbeiten und zusätzliche Materialien werden im Seminar ausgegeben.

Last offered unknown
Planned for currently not planned
Assigned Study Areas BIO-BIO, BIO-SEM, INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-MEDTECH, MEDZ-SEM, ML-CS