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Exams and average marks

List of programme's course units, number of exams (i.e. how many times the exam was taken in a year) and average marks

The data refer to last year. A course unit may include modules, subgroups, integrated exams. Proficiency tests are not included in the list.

Course unit Number of times exam was taken Average mark
MECHATRONICS SYSTEMS MODELING AND CONTROL M 6 21
DEEP LEARNING 21 24
SYSTEM THEORY AND ADVANCED CONTROL M 89 28
IMAGE PROCESSING AND COMPUTER VISION M 53 26
OPTIMIZATION AND MACHINE LEARNING M 7 29
MECHANICS OF MACHINES FOR AUTOMATION M 87 26
REAL TIME SYSTEMS FOR AUTOMATION M 94 27
POWER ELECTRONIC CIRCUITS M 20 25
MATHEMATICAL METHODS FOR AUTOMATION ENGINEERING M 110 26
OPTIMAL CONTROL M 75 27
ELECTRIC DRIVES FOR AUTOMATION M 1 21
AUTONOMOUS AND MOBILE ROBOTICS M 47 28
INDUSTRIAL ROBOTICS M 73 25
LEARNING AND ESTIMATION OF DYNAMICAL SYSTEMS M 91 27
DISTRIBUTED AUTONOMOUS SYSTEMS M 25 28
INDUSTRIAL ROBOTICS M 5 23
PRINCIPI E METODI DELLA PROGETTAZIONE DI MACCHINE AUTOMATICHE M 14 30
MACHINE LEARNING 10 25
OLEODINAMICA E PNEUMATICA M 2 25
AUTOMATION SOFTWARE AND DESIGN PATTERNS M 53 29
A GENERAL VIEW OF CHINA 1 30
OPTIMIZATION MODELS AND ALGORITHMS M 60 27
HARDWARE-SOFTWARE DESIGN OF EMBEDDED SYSTEMS M 1 26
HARDWARE-SOFTWARE DESIGN OF IOT SYSTEMS M 17 24
FUNDAMENTALS OF MECHANICS OF MACHINES M 4 27
DISTRIBUTED CONTROL SYSTEMS M 1 30
DIAGNOSIS AND CONTROL M 48 27
DISCRETE TIME SYSTEMS IDENTIFICATION AND CONTROL M 1 25
ELECTRIC POWER SYSTEMS AND SMART GRIDS M 3 23
LOGISTICA INDUSTRIALE M 1 30
MACHINE LEARNING AND DEEP LEARNING I.C. 1 29
MODELING AND SIMULATION OF MECHATRONIC SYSTEMS M 71 26