UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Artificial Intelligence for Biomedical Engineering

The course is not on the list Without time-table
Code Completion Credits Range Language
17VUIB KZ 2 2P Czech
Garant předmětu:
Department of Biomedical Informatics

Definition of artificial intelligence. State and state space, searching within state space - informed methods (gradient-based alg., branch and bound, A*) and non-informed methods (depth-first and breadth-first search methods). Mathematical logic, resolution. Recognition - feature and structural-based methods, classification, criterion of minimal distance and minimal error. Machine learning, decision trees. Knowledge-based and expert systems.


Exam: Written and oral.

Syllabus of lectures:

1. Definition of artificial intelligence, systems and models, feedback, adaptation.

2. State and state space, searching state space.

3. Informed methods of searching (branch and bound, A*) and non-informed methods of searching (deep-first and wide-first search).

4. Mathematical logic (propositional and predicate calculus), proving of theorems, resoltion.

5. Recognition - feature-based methods, classification, criterion of minimal distance and minimal error.

6. Recognition - structural methods, deformation schema, classification

7. Analysis, synthesis and processing of speech. Cepstral analysis, dynamic programming, syntax and semantics.

8. Machine learning, decision trees.

9. Knowledge and expert systems (diagnistic, planning and hybrid). Extraction of knowledge for expert systems.

10. Distributed artificial intelligence, multi-agent systems (reactive, intencional, social agents), coordination, cooperation, communication.

11. Evolution techniques, genetic algorithms, evolution programming, genetic programming, gramatic evolution.

12. Neural networks, classifiers, approximators, multilayer perceptron network, methods of learning and recalling.

13. Fuzzy logic and fuzzy systems.

14. Artificial intelligence in control engineering and robotics.

Syllabus of tutorials:

There are no training lessons.

Study Objective:

To introduce students to basics of artificial intelligence and different methods that are used in the area of artificial intelligence.

Study materials:

[1]Philip C. Jackson: Introduction to Artificial Intelligence, 1985, ISBN: 048624864X

[2]Henry Brighton, Howard Selina: Introducing Artificial Intelligence, 2004, ISBN: 1840464631

Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2023-06-08
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet24794005.html