300332 UE Practial Course in Modelling and Systems Biology (2024S)

Continuous assessment of course work

Moodle

Th 16.05. 08:00-11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from Th 08.02.2024 14:00 to Th 22.02.2024 18:00
Deregistration possible until Fr 15.03.2024 18:00

Details

max. 30 participants

Language: English

Lecturers

Thomas Rattei

Classes (iCal) - next class is marked with N

    
    Thursday
    14.03.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    21.03.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    11.04.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    18.04.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    25.04.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    02.05.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    N
    Thursday
    16.05.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    23.05.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    06.06.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    13.06.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    20.06.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
    
    Thursday
    27.06.
    08:00 - 11:15
    Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1

Information

Aims, contents and method of the course

Students are able to explain typical approaches of the quantitative biology and systems biology and are able to design experiments based on these approaches. Students are able to connect data from quantitative biology and systems biology with information from heterogeneous sources of biological data. Students understand fundamental methods of mathematical modeling. Students are able to apply these methods to typical problems in evolutionary systems biology and can interpret the results. This exercise establishes knowledge and practical skills in mathematical modeling of biological systems.

Assessment and permitted materials

Exercise assignments

Minimum requirements and assessment criteria

Four successful submissions of complex data analysis and modeling challenges.

Examination topics

1. Planning an experiment
2. Omics data reduction and statistics
3. Network analysis
4. Quantitative Modeling

Reading list

Will be provided during the seminar.

Association in the course directory

MES3, MMEI III, MEC-9, MMB W-2, MMB W-3, PIK-2

Last modified: Tu 20.02.2024 17:27