Analytical results of the teaching evaluation programme a.y. 2021-22

MATHEMATICAL AND COMPUTING SCIENCES FOR ARTIFICIAL INTELLIGENCE

Courses of direct afference

30537 FOUNDATIONS OF PHYSICS I
30537 FOUNDATIONS OF PHYSICS I
30539 COMPUTER SCIENCE - MODULE 1 (INTRODUCTION TO COMPUTER SCIENCE AND PROGRAMMING)
30539 COMPUTER SCIENCE - MODULE 1 (INTRODUCTION TO COMPUTER SCIENCE AND PROGRAMMING)
30540 COMPUTER SCIENCE - MODULE 2 (COMPUTING THEORY AND ALGORITHMS)
30540 COMPUTER SCIENCE - MODULE 2 (COMPUTING THEORY AND ALGORITHMS)
30542 MATHEMATICAL ANALYSIS - MODULE 1
30542 MATHEMATICAL ANALYSIS - MODULE 1
30543 MATHEMATICAL ANALYSIS - MODULE 2
30543 MATHEMATICAL ANALYSIS - MODULE 2
30544 ALGEBRA AND GEOMETRY
30544 ALGEBRA AND GEOMETRY
30545 FOUNDATIONS OF ECONOMIC SCIENCES
30545 FOUNDATIONS OF ECONOMIC SCIENCES
30546 PROBABILITY
30546 PROBABILITY
30547 FOUNDATIONS OF PHYSICS II
30547 FOUNDATIONS OF PHYSICS II
30548 DECISION THEORY AND HUMAN BEHAVIOR
30548 DECISION THEORY AND HUMAN BEHAVIOR
30549 MATHEMATICAL STATISTICS
30549 MATHEMATICAL STATISTICS
30551 ADVANCED ANALYSIS AND OPTIMIZATION - MODULE 1
30551 ADVANCED ANALYSIS AND OPTIMIZATION - MODULE 1
30556 BEHAVIOURAL SKILLS SEMINAR
30556 BEHAVIOURAL SKILLS SEMINAR
30557 AI LAB
30557 AI LAB


Analytical results of the teaching evaluation programme a.y. 2023 24
Analytical results of the teaching evaluation programme a.y. 2022 23


(* statistical data not processed due to the very small number of completed questionnaires)