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

MATHEMATICAL AND COMPUTING SCIENCES FOR ARTIFICIAL INTELLIGENCE

Courses of direct afference

30537 FOUNDATIONS OF PHYSICS I
30539 COMPUTER SCIENCE - MODULE 1 (INTRODUCTION TO COMPUTER SCIENCE AND PROGRAMMING)
30540 COMPUTER SCIENCE - MODULE 2 (COMPUTING THEORY AND ALGORITHMS)
30542 MATHEMATICAL ANALYSIS - MODULE 1
30543 MATHEMATICAL ANALYSIS - MODULE 2
30544 ALGEBRA AND GEOMETRY
30545 FOUNDATIONS OF ECONOMIC SCIENCES
30546 PROBABILITY
30547 FOUNDATIONS OF PHYSICS II
30548 DECISION THEORY AND HUMAN BEHAVIOR
30549 MATHEMATICAL STATISTICS
30551 ADVANCED ANALYSIS AND OPTIMIZATION - MODULE 1
30552 ADVANCED ANALYSIS AND OPTIMIZATION - MODULE 2
30553 ADVANCED PROGRAMMING AND OPTIMIZATION ALGORITHMS
30554 MATHEMATICAL MODELLING IN MACHINE LEARNING
30555 DIGITAL ETHICS SEMINAR
30557 AI LAB
30558 STATISTICAL AND QUANTUM PHYSICS
30559 GAME THEORY AND MECHANISM DESIGN
30560 MATHEMATICAL MODELLING FOR FINANCE
30561 STOCHASTIC PROCESSES AND SIMULATION IN NATURAL SCIENCES
30562 MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
30563 MATHEMATICAL MODELLING FOR NEUROSCIENCE
30592 TOPICS IN COMPUTATIONAL MODELLING: FROM INFORMATION THEORY TO EVOLUTIONARY MODELS
30601 COMPUTATIONAL APPLICATIONS IN MANAGEMENT
30665 ELEMENTS OF REAL AND FOURIER ANALYSIS


Analytical results of the teaching evaluation programme a.y. 2022 23
Analytical results of the teaching evaluation programme a.y. 2021 22


No statistical data are given for those subjects for whom only a very small number of questionnaires were filled in.