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Úvod do umělé inteligence / Introduction to Artificial Intelligence
NAIL120, 2/2 Zk, summer semester

Roman Barták, KTIML

Literature  |  Lectures |  Exam  |  Contact

Artificial intelligence is the science of making machines do things that would require intelligence if done by men.

Marvin Minsky, 1967
Literature:

The course is based on textbook S. Russell, P. Norvig: Artificial Intelligence. A Modern Approach, Prentice Hall, 2003 (third edition). Resources for the book are available online.

Z literatury dostupné v českém jazyce je možné čerpat například ze série knih V. Mařík, O. Štěpánková, J. Lažanský (eds.): Umělá inteligence 1-6, vycházející v nakladatelství Academia.

Lectures (2022/2023):
Pondělí 10:40 - 12:10, posluchárna S3 (Malá Strana, 3. patro), lekce v češtině
Tuesday 14:00 - 15:30, lecture hall S5 (Malá Strana, 2nd floor), English lectures

The course will be given in Czech and in English.

A preliminary schedule (please watch particular dates as some lectures are cancelled (strike dates) and some dates are swapped (in English branch).

    lecture quiz
13. 02. 2023 (CZ)
14. 02. 2023 (ENG) 		History of AI and its context
(Chapter 1.2, 1.3, 2.1-2.3)
20. 02. 2023 (CZ)
21. 02. 2023 (ENG)		 Problem solving and search
(Chapter 2.4, 3)
27. 02. 2023 (CZ)
28. 02. 2023 (ENG)		 Constraint satisfaction
(Chapter 6.1-6.3)
06. 03. 2023 (CZ)
07. 03. 2023 (ENG)		 (Propositional) Logical reasoning
(Chapter 7.1-7.6)
13. 03. 2023 (CZ)
14. 03. 2023 (ENG)		 Automated planning
(Chapter 7.7, 10.1 -10.2)

20. 03. 2023 (CZ)
21. 03. 2023 (ENG)

 Probabilistic reasoning
(Chapter 13, 14.1-14.2, 14.4-14.5)
27. 03. 2023 (CZ)
28. 03. 2023 (ENG)		 Probabilistic reasoning over time
(Chapter 15.1-15.3, 15.5)
03. 04. 2023 (CZ)
11. 04. 2023 (ENG)

Decision making
(Chapter 16.1, 16.2, 16.5, 16.7, 17.1-17.4)
10. 04. 2023 Easter holidays
    

17. 04. 2023 (CZ)
18. 04. 2023 (ENG)

 Games and multi-agent systems
(Chapter 5.1-5.5, 17.5-17.6)
24. 04. 2023 (CZ)
25. 04. 2023 (ENG)

Machine learning (decision trees, regression, SVM)
(Chapter 18.1-18.3, 18.6-18.9, 19.1)

01. 05. 2023

International Workers' Day
08. 05. 2023

Victory Day
15. 05. 2023 (CZ)
09. 05. 2023 (ENG)

Philosophical and ethical issues
(Chapter 16.3, 26)
 
22. 05. 2023 (CZ)
02. 05. 2023 (ENG)		 Learning probabilistic models and reinforcement learning
(Chapter 20, 21.1-21.3)
Exam:

The exam is oral with time for written preparation. The requirements correspond to the syllabus in the extent presented during the lectures. A part of the exam may be the design of an algorithm for a given problem.

Students register to exams (select the examination date) via Student Information System. Exams will be in person, but on-line exam is possible in special situations and upon prior request. Each student will be given one question/topic based on what has been covered by lectures. The student will have 15 minutes to write the answer/solution and then 15 minutes to (orally) defend the answer. Be at the assigned location 10-15 minutes before your term. Students can answer in Czech/Slovak or English depending on their own choice.
Contact
 

prof. RNDr. Roman Barták, Ph.D.

Katedra teoretické informatiky a matematické logiky
Matematicko-fyzikální fakulta Univerzity Karlovy
Malostranské nám. 2/25, 118 00 Praha 1
Czech Republic

e-mail: bartak (AT) ktiml.mff.cuni.cz
tel: +420 951 554 242

It is possible to arrange appointments for individual consultancy and also to discuss topics of bachelor thesis and projects in the area of AI.

Any comments regarding the course, error reports, and further suggestions are welcome.