392023 Formal methods in Algorithmic Cheminformatics and Systems Biology (V) (WiSe 2024/2025)

Contents, comment

The course provides an overview of mathematical and computational modelling and analysis methods commonly employed in the studies of complex systems, with special focus on biological and chemical applications.
By the end of the course, the students should be able to independently judge which modelling and analysis techniques are suitable for a given problem definition.

The following topics are covered in the course:
Different model types and their advantages (deterministic vs non-deterministic models, discrete vs continuous models, qualitative vs quantitative models, generative vs agent-based models), Petri nets, Boolean networks, Markov chains and stochastic Petri nets, Kappa (site graph transformation), stochastic simulation, model checking, Petri net unfolding (causal analysis/concurrency), abstract interpretation;

Requirements for participation, required level

No strict requirements, but at least foundational knowledge of formal methods in software verification, or of graph theory and algorithms, mathematical logic, formal languages, grammars and automata is encouraged.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Examinations

Date Time Format / Room Comment about examination

Show passed examination dates >>

Subject assignments

Module Course Requirements  
39-Inf-AB Algorithmen der Bioinformatik Ausgewählte Vorlesung zu Algorithmen der Bioinformatik Ungraded examination
Graded examination
Student information
39-Inf-SAB_a Spezielle Algorithmen der Bioinformatik Ausgewählte Vorlesung zu Spezielle Algorithmen der Bioinformatik Ungraded examination
Graded examination
Student information
39-Inf-WP-AP Algorithmen & Programmierung (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-Inf-WP-CLS Computational Life Sciences (Basis) Einführende Vorlesung Student information
- Graded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


No more requirements
No eLearning offering available
Registered number: 4
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
WS2024_392023@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_494442808@ekvv.uni-bielefeld.de
Coverage:
4 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 1
Open email archive
Last update basic details/teaching staff:
Tuesday, October 1, 2024 
Last update times:
Wednesday, February 19, 2025 
Last update rooms:
Wednesday, February 19, 2025 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=494442808
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
494442808