Logo ČVUT
CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Expert Systems and Artificial Intelligence for Medicine

Login to KOS for course enrollment Display time-table
Code Completion Credits Range Language
17PBIEUI Z,ZK 3 2P+1C Czech
Lecturer:
Radim Krupička, Petr Maršálek (guarantor)
Tutor:
Radim Krupička, Jan Tesař
Supervisor:
Department of Biomedical Informatics
Synopsis:

The course is aimed at providing theoretically deeper knowledge in the area of Expert systems and artificial intelligence in medicine.

Requirements:

Complete the oral examination

Syllabus of lectures:

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

2.State space, - informed methods (gradient algorithms, A*) and uninformed methods (search to depth and width).

3.Mathematical logic, proofs statements with resolution.

4.Recognition - signature and structural methods, classification, criteria of minimal distance and minimal error.

5.Machine learning, trees of decision.

6.Knowledge and expert systems (diagnostic, planning, hybrid).

7.Distributed artificial intelligence, multi-agent systems, coordination, cooperation, communication.

8.Evolutional computational techniques, genetic algorithms, evolutional programming, genetic programming, grammatical evolution.

9.Neural networks, classifiers, approximations

10.Multilayer perceptronal network, learning methods.

11.Fuzzy systems.

12.Analysis, synthesis and speech processing.

13.Robotics.

Syllabus of tutorials:

1.Implementation of basic methods of state space searching (searching to depth and width, A*).

2.Decision tasks.

3.Implementation of classic methods for data classification (mainly k NN and Bayes' classifier).

4.Virtual robot controlling,

5.Robot decision algorithms.

6.Non procedural languages (prolog).

7.Implementation of expert system.

Study Objective:

The course is aimed at providing theoretically deeper knowledge in the area of Expert systems and artificial intelligence in medicine.

Study materials:

[1] Ales Kubík : inteligentní agenty, tvorba aplikacního software na bázi multiagentovych systému, computer press, 2004

[2] Berka, P.: Dobyvání znalostí z databází. Academia, Praha, 2003

[3] V. Marík a kol.: Umelá inteligence 1-5, Academia

Note:
Time-table for winter semester 2019/2020:
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
roomKL:B-520
Krupička R.
12:00–13:50
(lecture parallel1)
Kladno FBMI
Lab. umělé inteli. a bioinfor.
Tue
roomKL:B-534
Tesař J.
14:00–15:50
EVEN WEEK

(lecture parallel1
parallel nr.1)

Kladno FBMI
Lab. soft. inž. a IT bezpečno.
Fri
Thu
Fri
Time-table for summer semester 2019/2020:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2019-10-16
For updated information see http://bilakniha.cvut.cz/en/predmet2792706.html