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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025
Faculties | School elective courses | ECTS courses catalogue | Settings | Česká verze
Welcome page > Faculty of Information Technology > Department of Applied Mathematics > Artificial Intelligence Fundamentals
NOTICE: Study plans for the following academic year are available.

Artificial Intelligence Fundamentals

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Code Completion Credits Range Language
BI-ZUM.21 Z,ZK 5 2P+2C Czech
Course guarantor:
Pavel Surynek
Lecturer:
Pavel Surynek
Tutor:
Kristýna Janovská, Martin Rameš, Ladislava Smítková Janků, Pavel Surynek
Supervisor:
Department of Applied Mathematics
Synopsis:

Basic course on introduction to artificial intelligence with emphasis on symbolic techniques. The design of an intelligent agent and the techniques needed to create it will be discussed, especially at the decision-making level. The intelligent agent in the context of the course can be represented for example by a physical robot, but also by a non-physical entity, such as a virtual assistant or a character in a computer game. We will not only introduce the basics, but also show the current state-of-the-art during the course.

Requirements:

Basic knowledge of statistics, algebra and algorithmization. Programming capabilities.

Syllabus of lectures:

1. Intelligent agents.

2. Solving problems by state space searching.

3. Local state space searching.

4. Automated planning, acting in the real world.

5. Multiagent systems.

6. Finite problems with constraints: Integer Programming, SATisfaction problem, Constraint Satisfaction Problem (CSP).

7. Turn-based games, economic games, decision-making in games.

8. Knowledge representation, reasoning.

9. Learning and inference.

10. Problem modeling using AI techniques.

11. [2] Introduction to robotics - logistic, motion planning, localization, mapping, sensors, physics, actuators.

13. Philosophical and social questions of AI.

Syllabus of tutorials:

1. Interactive tools for artificial intelligence

2. AI problem set 1

3. AI problem set 2

4. Programming assignment 1

5. Consulting assignment 1

6. AI problem set 3

7. AI problem set 4

8. Programming assignment 2

9. Consulting assignment 2

10. AI problem set 5

11. Programming assignment 3

12. Consulting assignment 3

13. Reserved, credit

Study Objective:
Study materials:

1. Russel S., Norvig P. : Artfcial Intelligence: A Modern Approach (4th Edition). Prentice Hall, 2020. ISBN 978-0134610993.

2. Ghallab M., Nau D., Traverso P. : Automated Planning and Acting. Cambridge University Press, 2016. ISBN 978-1107037274.

3. Lažanský J., Mařík V., Štěpánková O. : Umělá inteligence (1) - (6). Academia, 2013. ISBN 978-80-200-2267-9.

Note:

This course is presented in Czech.

Further information:
https://courses.fit.cvut.cz/BI-ZUM
Time-table for winter semester 2024/2025:
Time-table is not available yet
Time-table for summer semester 2024/2025:
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
roomT9:350
Rameš M.
14:30–16:00
(lecture parallel1
parallel nr.101)
Dejvice roomT9:350
Rameš M.
16:15–17:45
(lecture parallel1
parallel nr.102)
Dejvice
Tue
Wed
roomT9:350
Janovská K.
09:15–10:45
(lecture parallel1
parallel nr.103)
Dejvice roomT9:350
Janovská K.
11:00–12:30
(lecture parallel1
parallel nr.104)
Dejvice roomT9:350
Surynek P.
18:00–19:30
(lecture parallel1
parallel nr.105)
Dejvice
Thu
roomT9:155
Surynek P.
12:45–14:15
(lecture parallel1)
Dejvice
Fri
roomT9:350
Smítková Janků L.
09:15–10:45
(lecture parallel1
parallel nr.106)
Dejvice roomT9:350
Smítková Janků L.
11:00–12:30
(lecture parallel1
parallel nr.107)
Dejvice
The course is a part of the following study plans:
Data valid to 2025-04-26
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