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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Computational Intelligence Methods

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Code Completion Credits Range Language
MI-MVI.16 Z,ZK 5 2+1 Czech
Lecturer:
Pavel Kordík (guarantor), Zdeněk Buk, Miroslav Čepek
Tutor:
Martin Šlapák (guarantor), Ondřej Bíža, Zdeněk Buk, Miroslav Čepek, Marcel Jiřina
Supervisor:
Department of Applied Mathematics
Synopsis:

Students will understand methods and techniques of computational intelligence that are mostly nature-inspired, parallel by nature, and applicable to many problems. They will learn how these methods work and how to apply them to problems related to data mining, control, intelligen games, optimizations, etc.

Requirements:
Syllabus of lectures:

1. Introduction to computational intelligence, its uses.

2. Algorithms of machine learning.

3. Neural networks.

4. Evolutionary algorithms, evolution of neural networks.

5. [3] Computational intelligence methods: for clustering, for classification, for modeling and prediction.

6. Fuzzy logic.

7. Swarms (PSO, ACO).

8. Ensemble methods.

9. Inductive modeling.

10. Quantum and DNA computing.

11. Case studies, new trends.

Syllabus of tutorials:

1. Introduction, getting acquainted with tools.

2. Introduction to the problems.

3. Course project assignment.

4. Consultations.

5. Consultations.

6. Project checkpoint.

7. Consultations.

8. Consultations.

9. Project checkpoint.

10. Consultation.

11. Report check.

12. Project presentations, workshop.

13. Project presentations, workshop.

14. Project presentations, workshop, assessment.

Study Objective:

The module gives an overview of basic methods and techniques of computational intelligence that stem from the classical artificial intelligence. Computational intelligence methods are mostly nature-inspired, parallel by nature, and applicable to many problems in knowledge engineering.

Study materials:

1. Konar, A. ''Computational Intelligence: Principles, Techniques and Applications''. Springer, 2005. ISBN 3540208984.

2. Bishop, C. M. ''Neural Networks for Pattern Recognition''. Oxford University Press, 1996. ISBN 0198538642.

Note:
Further information:
https://courses.fit.cvut.cz/MI-MVI/
Time-table for winter semester 2018/2019:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomT9:107
Kordík P.
12:45–14:15
(lecture parallel1)
Dejvice
Posluchárna
Tue
roomT9:351
Bíža O.
Šlapák M.

09:15–10:45
EVEN WEEK

(lecture parallel1
parallel nr.101)

Dejvice
NBFIT PC ucebna
roomT9:351
Bíža O.
Šlapák M.

09:15–10:45
ODD WEEK

(lecture parallel1
parallel nr.102)

Dejvice
NBFIT PC ucebna
Fri
Thu
Fri
Time-table for summer semester 2018/2019:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2019-04-18
For updated information see http://bilakniha.cvut.cz/en/predmet4655906.html