392169 Algorithmic stochastics (V) (WiSe 2015/2016)
Contents, comment
-
Several complex problems arising from biology and computer science (e.g., sequence alignment, gene finding, inference for population sequence data) can not be solved at the same time efficiently and optimally by using deterministic methods. In such cases, stochastic methods are used to advantage. Building on the foundations of probability theory and statistics, this course lays the basis for stochastic computing (i.e., representation of distributions in the computer, computations with small probabilities, efficient generation of random numbers with given distribution, test of the quality of random number generators). As an important tool, the Markov chain Monte Carlo (MCMC) methods are presented via examples (Metropolis-Hastings, Gibbs sampling). Importance sampling methods and simulation of rare events are as well presented.
External comments page
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Examinations
| Date | Time | Format / Room | Comment about examination |
|---|
Show passed examination dates >>
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-ASB Algorithmische Stochastik in der (Bio-)Informatik | Algorithmische Stochastik in der Bioinformatik | 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.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bioinformatik und Genomforschung / Bachelor | (Enrollment until SoSe 2011) | Algorithmische Stochastik | Wahlpflicht | 5. | 7 | unbenotet 7 LP V+Ü | |
| Bioinformatik und Genomforschung / Promotion | Indiv. Erg. | Wahl | 7 | 7 LP V+Ü | |||
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | allgem.HS | HS |
- Registered number: 16
- 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:
- WS2015_392169@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_59652398@ekvv.uni-bielefeld.de
- Coverage:
- No students to be reached via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Tuesday, February 2, 2016
- Last update rooms:
- Tuesday, February 2, 2016
- 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=59652398
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 59652398