Corso di Laurea Magistrale
CONTROL SYSTEMS ENGINEERING - PADOVA [IN2546]
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La tabella sottostante riporta i risultati del corso di studio. Sotto sono elencati i relativi insegnamenti consultabili.
AD-Docente valutate AD-Docente valutate con almeno 5 rispondenti frequentanti
N. % con questionari compilati N. % Indicatori di sintesi
Totali di cui da frequentanti Soddisfazione Didattica Organizzazione
Media Mediana Media Mediana Media Mediana
44 91,67% 1110 857 29 60,42% 8,30 8,52 8,39 8,69 8,64 8,79
ADAPTIVE AND MODEL PREDICTIVE CONTROL (INQ0091302)
ADVANCED TOPICS IN OPTIMIZATION (INQ4106180)
AUTOMATA, LANGUAGES AND COMPUTATION (INQ0091306)
AUTOMOTIVE AND DOMOTICS (INP9086682)
BIG DATA COMPUTING (INP7079233)
COMPUTER VISION (INP9087774)
COMPUTER VISION (INP9087844)
CONTROL ENGINEERING LABORATORY (INQ1097718)
CONTROL OF BIOLOGICAL SYSTEMS (INQ0091285)
CONVEX OPTIMIZATION (INQ0091320)
DESIGN OF MECHANICAL DRIVES (INQ3103061)
DIGITAL CONTROL (INQ0091309)
DIGITAL SIGNAL PROCESSING (INP9086622)
EMBEDDED REAL-TIME CONTROL (INQ0091321)
ESTIMATION AND FILTERING (INQ0091318)
GAME THEORY (INP9087836)
INDUSTRIAL AUTOMATION (INQ0091802)
INDUSTRIAL ROBOTICS (INQ0091301)
INFORMATION SECURITY (INP9087837)
INTELLIGENT ROBOTICS (INQ0091300)
LEARNING DYNAMICAL SYSTEMS (INP9087824)
LEARNING FROM NETWORKS (INQ0091104)
MACHINE LEARNING (INQ0091308)
MATHEMATICAL CELL BIOLOGY (INP9086378)
MATHEMATICAL PHYSICS (INP8084118)
MEASUREMENT ARCHITECTURES FOR CYBER-PHYSICAL SYSTEMS (INQ0091282)
MODELLING AND CONTROL OF ELECTRIC DRIVES (INQ1097443)
NETWORK DYNAMICAL SYSTEMS (INQ1097719)
NEURAL NETWORKS AND DEEP LEARNING (INP9086459)
NONLINEAR SYSTEMS AND CONTROL (INQ0091304)
QUANTUM INFORMATION AND COMPUTING (INP9086478)
REINFORCEMENT LEARNING (INQ0091303)
ROBOTICS AND CONTROL 1 (INQ0091311)
ROBOTICS AND CONTROL 2 (INQ0091299)
ROBOTICS LABORATORY (INQ0093578)
SMART GRIDS (INP9087834)
STOCHASTIC PROCESSES (INP9086676)
SYSTEMS BIOLOGY (INQ0091284)
SYSTEMS THEORY (INQ0091288)