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  1. Courses
  2. Faculty of Informatics
  3. Department of Data Science and Visualization
  4. DSV Previous Fall

DSV Previous Fall

Artificial Intelligence in planning and decisionmaking (INMGM0207L) 2023 Fall

  • Oktató: Kapusi Tibor Péter

Basics of Autonomous Vehicles Development E (INBMA9951L) 2022 Fall

  • Oktató: Dr. Kovács László

Computer aided mathematics and visualization (INBPA0103L-02) 2023 Fall

  • Oktató: Dr. Kruppa Kinga Tünde

Computer Aided Mathematics and Visualization (INBPA0103L-07) 2022 fall

  • Oktató: Kumar Dheeraj

Computer aided mathematics and visualization (INBPA0103L-08, INBPA0103L-09) 2023 Fall

  • Oktató: Dr. Csoba-Bodonyi Andrea Beatrix

Developing data handling programs E (INBGA0528L) 2022 Fall

  • Oktató: Dr. Kovács László

Foundations of artificial intelligence (INBPA0418L-02) 2023 Fall

  • Oktató: Serbán Norbert Dániel

Introduction to reinforcement learning (INBPA9955L) 2022 fall

  • Oktató: Dr. Bogacsovics Gergő

Introduction to reinforcement learning (INBPA9955L-02) 2022 Fall

  • Oktató: Tardi Tamás

Mobile application development (INBPA9937L-01) 2023 Fall

  • Oktató: Dr. Kruppa Kinga Tünde

Paralell image processing and pattern recognition (INMMA0210E) 2022 Fall

INMMA0210-17
  • Oktató: Dr. Harangi Balázs

Paralell image processing and pattern recognition E (INMMA0210L) 2022 Fall

  • Oktató: Dr. Kovács László
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