Mathematical Models and their Applications
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| 11MMJ | Z,ZK | 4 | 2P+2C+12B | Czech |
- Garant předmětu:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Applied Mathematics
- Synopsis:
-
System. Regression, discrete and logistic models. Bayesian estimation of model parameters. Parameter estimation of normal regression, discrete and logistic models. Classification with logistic model. One-step and multi-step prediction with regression and discrete models. State model. State estimation. Kalman filter. Control with regression and discrete models.
- Requirements:
-
basic knowledge of statistics
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
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Teach students advanced methods for analyzing the behavior of dynamical systems, including system identification and output prediction for continuous and discrete random variables based on Bayesian statistics.
- Study materials:
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William M. Bolstad: Introduction to Bayesian Statistics, 2nd Edition. Willey, ISBN-13: 978-0470141151
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
-
- IS nav.prez.11/12 (compulsory course)
- IS nav.prez.12/13 (compulsory course)
- IS nav.prez.13/14 (compulsory course)
- IS-EN nav.prez.14/15 (compulsory course)
- IS joint degree nav.prez.14/15 (compulsory course)
- IS joint degree nav.prez.13/14 (compulsory course)
- IS joint degree nav.prez.12/13 (compulsory course)
- IS nav.prez.15/16 čeština (compulsory course)
- IS-EN nav.prez.15/16 (compulsory course)
- IS joint degree nav.prez.15/16 (compulsory course)
- IS nav.prez.16/17 čeština (compulsory course)
- IS-EN nav.prez.16/17 (compulsory course)
- IS joint degree nav.prez.16/17 (compulsory course)
- IS nav.prez.17/18 čeština (compulsory course)
- IS-EN nav.prez.17/18 (compulsory course)
- IS joint degree nav.prez.17/18 (compulsory course)
- IS nav.prez.18/19 čeština (compulsory course)
- IS joint degree nav.prez.18/19 (compulsory course)
- IS-EN nav.prez.18/19 (compulsory course)
- IS nav.prez.19/20 čeština (obor IS) (compulsory course)
- IS-EN nav.prez.19/20 (compulsory course)
- IS joint degree nav.prez.19/20 (obor IS) (compulsory course)
- PL nav.prez.22/23 (pro program PL) (compulsory course)
- PL nav.kombi 22/23 (pro program PL) (compulsory course)
- PL nav.prez.23/24 (pro program PL) (compulsory course)
- PL nav.kombi 23/24 (pro program PL) (compulsory course)