Module Number BIOINF4393 (entspricht BIO4393) 
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 

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  BIOBIO, BIOSEM, INFOINFO, MEDIAPPL, MEDIINFO, MEDZMEDTECH, MEDZSEM, MLCS 