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Available courses for students of École Polytechnique

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Cybernetics and Artificial Intelligence
Computer Science and ICT, Data, AI
Organization logo: Czech Technical University in Prague

About this course

The course introduces the students into the field of artificial intelligence and gives the necessary basis for designing machine control algorithms. It advances the knowledge of state space search algorithms by including uncertainty in state transition. Students are introduced into reinforcement learning for solving problems when the state transitions are unknown, which also connects the artificial intelligence and cybernetics fields. Bayesian decision task introduces supervised learning. Learning from data is demonstrated on a linear classifier. Students practice the algoritms in computer labs.

Expected learning outcomes

The course introduces the students into the field of artificial intelligence and gives the necessary basis for designing machine control algorithms. It advances the knowledge of state space search algorithms by including uncertainty in state transition. Students are introduced into reinforcement learning for solving problems when the state transitions are unknown, which also connects the artificial intelligence and cybernetics fields. Bayesian decision task introduces supervised learning. Learning from data is demonstrated on a linear classifier. Students practice the algoritms in computer labs.

Course requirements

Basic knowledge of linear algebra and programming is assumed. Experience in Python and basics of probability is an advantage.

Activities

Lectures and lab-work

  • Local course code
    BE5B33KUI
  • Study load
    ECTS 6
  • Level
    bachelor
  • Contact hours per week
    4
  • Instructors
    Mgr. Kostlivá Jana Ph.D., prof. Ing. Svoboda Tomáš Ph.D., Ing. Gama Filipe, Ing. Pošík Petr Ph.D., Dantu Swati, Ing. Šindler Pavel
  • Mode of delivery
    Hybrid
  • Course coordinator
If anything remains unclear, please check FAQ page.
  • Start date

    19 February 2024

    • End date
      22 September 2024
    • Main language
      English
    • Apply between
      11 Dec and 19 Jan 2024
    Enrolment period closed