The course will make an introduction to the core concepts of artificial intelligence (AI) and its usage in our everyday life. The students will learn about the history and development of AI, supervised and unsupervised approaches, understand the distinction between AI and machine learning. Every time, examples of implementation in economy, traffic, customer management, health, etc are studied. The students will also get acquainted with the legal aspects regarding the AI and discuss ethical problems that the use of AI poses. The programme also dwells on how intertwined our society in general is with the use of AI.
The course will combine theoretical knowledge with practical exercises and group work.
The student will be able to understand basic concepts of computational intelligence, related to artificial neural networks, probabilistic computation, reinforcement learning, fuzzy systems and evolutionary computation.
The student will be able to identify if a problem can be solved by means of AI, as well as limitations and prerequisites for AI powered services/products.
The student will have some experience in formalising problems.
The course will be comprised of 8 weeks of virtual asynchronous learning. Each week, there will be pre-recorded lectures, online assignments, individual readings. During the on-site week, the students will have practical exercises on the topics covered, discussions, group work, as well as online and physical meetings with companies and start-ups implementing the artificial intelligence in their work.
21–27 February 2022: Introduction; core concepts
28 February – 6 March 2022: Core concepts 2
7–13 March 2022: Overview of AI methods
14–20 March 2022: Supervised approaches
21–27 March 2022: Unsupervised approaches
28 March – 3 April 2022: AI vs machine learning
4–10 April 2022 Ethics of AI; legal aspects of AI
11–17 April 2022: User-centred design of AI interfaces
25–29 April 2022: on-site week in Tartu
Passed or not passed. Passing all virtual topics, including the assignments and readings is compulsory; active participation at the on-site meeting is required.
Dr Enda Howley, NUI Galway
Jenny Benois-Pineau, University of Bordeaux
Akka Zemmari, University of Bordeaux
Rupayan Malick, University of Bordeaux
Prof. Robert Krimmer, University of Tartu
Ass Prof Dr. Mikael Laaksoharju, Uppsala University
Prof. Radoslav Harman, Comenius University in Bratislava
(will be complemented later)