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

Roman Barták, KTIML

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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:	up

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 (2024/2025): Pondělí 10:40 - 12:10, posluchárna S3 (Malá Strana, 3. patro), lekce v češtině Tuesday 10:40 - 12:10, lecture hall S4 (Malá Strana, 3rd floor), English lectures	up

The course will be given in Czech and in English.

A preliminary schedule.

		lecture	quiz
17. 02. 2025 18. 02. 2025	History of AI and its context (Chapter 1.2, 1.3, 2.1-2.3)
24. 02. 2025 25. 02. 2025	Problem solving and search (Chapter 2.4, 3)
03. 03. 2025 04. 03. 2025	Cancelled due to foreign trip
10. 03. 2025 11. 03. 2025	Constraint satisfaction (Chapter 6.1-6.3)
17. 03. 2025 18. 03. 2025	(Propositional) Logical reasoning (Chapter 7.1-7.6)
24. 03. 2025 25. 03. 2025	Automated planning (Chapter 7.7, 10.1 -10.2)
31. 03. 2025 01. 04. 2025	Probabilistic reasoning (Chapter 13, 14.1-14.2, 14.4-14.5)
07. 04. 2025 08. 04. 2025	Probabilistic reasoning over time (Chapter 15.1-15.3, 15.5)
14. 04. 2025 15. 05. 2025	Decision making (Chapter 16.1, 16.2, 16.5, 16.7, 17.1-17.4)
21. 04. 2025 13. 05. 2025	Easter holidays Rector's Day
28. 04. 2025 22. 04. 2025	Games and multi-agent systems (Chapter 5.1-5.5, 17.5-17.6)
05. 05. 2025 29. 04. 2025	Machine learning (decision trees, regression, SVM) (Chapter 18.1-18.3, 18.6-18.9, 19.1)
12. 05. 2025 06. 05. 2025	Learning probabilistic models and reinforcement learning (Chapter 20, 21.1-21.3)
19. 05. 2025 20. 05. 2025	Physical lecture cancelled due to foreign trip, please watch the recording at SIS Philosophical and ethical issues (Chapter 16.3, 26)

• Practical exercises (by Jiří Fink)
• Practical exercises (by Jiří Švancara)
• Practical exercises (by Simona Ondrckova)
• Practical exercises (by Marika Ivanová)

Exam:	up

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. 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 start time indicated in SIS. Students can answer in Czech/Slovak or English depending on their own choice.

Contact	up

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.