Advanced Algorithms 2

Course guarantor:

Lecturer:

Vladimír Jarý

Tutor:

Vladimír Jarý

Supervisor:

Department of Software Engineering

Synopsis:

The lecture covers selected algorithms of the artificial inteligence and construction of autonomous robot.

Requirements:

18ZALG, 18PRC1, 18UIA1

Syllabus of lectures:

1. Probability methods in the artificial inteligence

2. Machine learning

3. Planning

4. Computer vision

5. PID regulators

6. Data mining

Syllabus of tutorials:

1. Bayes networks

2. Data processing from simple sensors

3. Computer vision

4. Line tracing

5. Application of PID regulators

6. Data mining

Study Objective:

The students shall learn advanced algorithms of the artificial inteligence. These algorithms shall be applied during the construction of autonomous robots.

Study materials:

[7] P. Norvig, S. Thrun: Introduction to Artificial Intelligence, https://www.udacity.com/course/cs271

Note:

Further information:

http://kmlinux.fjfi.cvut.cz/~jaryvlad/vyuka/

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• Aplikace informatiky v přírodních vědách (elective course)