SubjectsSubjects(version: 855)
Course, academic year 2019/2020
  
Computational Intelligence Methods - N500013
Title: Metody výpočetní inteligence
Guaranteed by: CTU in Prague, Faculty of Information Technology (500)
Actual: from 2013
Semester: winter
Points: winter s.:4
E-Credits: winter s.:4
Examination process: winter s.:
Hours per week, examination: winter s.:2/1 C+Ex [hours/week]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Level:  
For type:  
Guarantor: Kordík Pavel doc.Ing. Ph.D.
Annotation -
Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
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.
Aim of the course -
Last update: Jirát Jiří Ing. Ph.D. (31.01.2014)

Students will be able to:

Understand basic methods and techniques of computational intelligence that stem from the classical artificial intelligence

Apply them in knowledge engineering.

Literature -
Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)

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

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

Learning resources -
Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)

https://edux.fit.cvut.cz/courses/MI-MVI/

(login necessary)

Syllabus -
Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)

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.

Registration requirements -
Last update: Jirát Jiří Ing. Ph.D. (31.01.2014)

none

Teaching methods
Activity Credits Hours
Účast na přednáškách 1 28
Práce na individuálním projektu 2,2 61
Účast na seminářích 0,5 14
4 / 4 103 / 112
Coursework assessment
Form Significance
Report from individual projects 40
Examination test 60

 
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