Artificial Intelligence

Curious about AI? This course covers core search strategies, game-based decision making, probabilistic reasoning, and rational decisions under uncertainty. You’ll learn machine learning fundamentals, explore advanced AI applications, and gain hands-on programming experience through projects.

From

1.1.2026

5 cr

FITech

Intelligent agent types, uninformed search methods, informed (heuristic) search, local search, constraint satisfaction problems, adversarial search, uncertainty handling, probabilistic reasoning, utility, machine learning, decision networks, Markov decision process, reinforcement learning, applications of artificial intelligence

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Fields

Information and communication technologies

Scope

5 cr

Code

521495A

After completing the course, students

know the basic search strategies that can be applied in problem solving and optimization.
understand how search-based decisions are made in game-like competitive applications.
know the basic principles of probabilistic reasoning in artificial intelligence systems.
know how rational decision making under uncertainty can be formulated using utility theory.
understand the fundamentals of machine learning and how some of the established methods can be applied to problems in AI.
are familiar with advanced AI applications

In the course projects, students get some experience in programming and using search, decision making and machine learning methods.

Organiser

FITech-verkostoyliopisto

Information and features

Artificial Intelligence

Additional information and registration

Additional information:

What you will learn

Learning material

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