260169 VO Complex Systems II (2021S)
Applications
Labels
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).
Details
Language: English
Examination dates
- Tuesday 15.06.2021
- Tuesday 12.10.2021 15:30 - 16:30 Digital
- Tuesday 30.11.2021 15:30 - 16:30 Digital
- Tuesday 25.01.2022 14:00 - 15:30 Digital
- Friday 08.04.2022
Lecturers
Classes (iCal) - next class is marked with N
Tue Mar 9, 14:00: preparatory meeting
1st lecture: Tue Mar 16
Registered students will receive a link for all dates of the course by email.
Question hour and 1st date for exam will be in June - tba.
- Tuesday 09.03. 14:00 - 15:30 Digital (Kickoff Class)
- Tuesday 16.03. 14:00 - 15:30 Digital
- Tuesday 23.03. 14:00 - 15:30 Digital
- Tuesday 13.04. 14:00 - 15:30 Digital
- Tuesday 20.04. 14:00 - 15:30 Digital
- Tuesday 27.04. 14:00 - 15:30 Digital
- Tuesday 04.05. 14:00 - 15:30 Digital
- Tuesday 11.05. 14:00 - 15:30 Digital
- Tuesday 18.05. 14:00 - 15:30 Digital
- Tuesday 01.06. 14:00 - 15:30 Digital
- Tuesday 08.06. 14:00 - 15:30 Digital
- Tuesday 15.06. 14:00 - 15:30 Digital
- Tuesday 22.06. 14:00 - 15:30 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
oral exam
Minimum requirements and assessment criteria
Using methodically the mathematical foundations acquired in Complex Systems I when dealing with the selected applications.
Examination topics
All subjects of the lecture.
Reading list
Association in the course directory
M-ERG, UF MA PHYS 01a, UF MA PHYS 01b
Last modified: Fr 12.05.2023 00:22
16.3. Probability & random processes I
23.3. Probability & random processes I
13.4. Information theory of complex systems
20.4. Complexity economics + Systemic risk I
27.4. Complexity economics + Systemic risk II
04.5. Social multiplex analysis (MMOG Pardus) I
11.5. Social multiplex analysis (MMOG Pardus) II
18.5. Network medicineThe material for the course will be available in advance (link for download). Students are asked to work through the respective part before the day of the lecture and prepare questions.