Mathematical Methods

The course is not on the list Without time-table

Code	Completion	Credits	Range	Language
11MAMY	Z,ZK	7	3P+3C	Czech

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Applied Mathematics

Synopsis:

Mathematical modeling. The system and its mathematical description. Types of signals. Basic system responses. Convolution. State models. Principle of general / stationary / linear state description. Data measurement. Uncertainty in measured data. Data normalization. Preparation of data for further processing. Linear state model over noisy data. Kalman filter condition estimation. Statistical learning methods. Regression, classification.

Requirements:

Mathematics (in Czech that would be 11LA, 11CAL, 11STAT) physics (11FYZ)

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

The course deals with the theoretical foundations and applications of mathematical algorithms and numerical procedures used in the field of intelligent transport systems. It functions as a basis for follow-up professional subjects in the field of ITS.

Study materials:

JAMES, Gareth, et al. An introduction to statistical learning. New York: Springer, 2013.

HEATH, Michael T. Scientific computing – An Introductory Survey. 2. vyd. New York: McGraw-Hill, 2002.

OPPENHEIM, Alan V., Alan S. WILLSKY a Syed Hamid NAWAB. Signals and Systems. 2. vyd. Upper Saddle River: Prentice Hall, 1997, 957 s. ISBN 01-381-4757-4

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Note:

Further information:

http://zolotarev.fd.cvut.cz/mamy/

No time-table has been prepared for this course

The course is a part of the following study plans: