Seminar of Applied Mathematics

The course is not on the list Without time-table

Code	Completion	Credits	Range	Language
01SAM	Z	2	0P+2S	Czech

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Mathematics

Synopsis:

1. Defectoscopy and acoustic emission.

2. Machine learning.

3. Traffic flow dynamics. Dynamics of crowd movement.

4. Digital image processing.

5. Dynamic pricing.

6. Statistical predictions in economics, sociology and psychology.

7. Application of random matrix theory.

Requirements:

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Study Objective:

Study materials:

Key references:

[1] Chollet, F., Dee: Learning with Python, 2018.

[2] Mehta, M. L.: Random Matrices (3rd ed.), Academic Press, New York, 2004.

[3] Gonzales R. C., Woods R. E.: Digital Image Processing (4th ed.), Pearson, 2018.

Recommended references:

[4] Treiber, M., Kesting, A.: Traffic Flow Dynamics, Springer 2013.

[5] Schadschneider, A., Chowdhury, D., Nishinari, K.: Stochastic Transport in Complex Systems, Elsevier Science & Technology, 2010.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: