Introduction to recommender systems
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Teaching
Details
Faculty Faculty of Science and Medicine Domain Computer Science Code UE-SIN.08613 Languages English Type of lesson Lecture
Level Master Semester SP-2020 Schedules and rooms
Summary schedule Thursday 10:15 - 13:00, Hebdomadaire (Spring semester)
Struct. of the schedule 3h par semaine durant 14 semaines Contact's hours 42 Teaching
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Dates and rooms
Date Hour Type of lesson Place 20.02.2020 10:15 - 13:00 Cours PER 21, Room D230 27.02.2020 10:15 - 13:00 Cours PER 21, Room D230 05.03.2020 10:15 - 13:00 Cours PER 21, Room D230 12.03.2020 10:15 - 13:00 Cours PER 21, Room D230 19.03.2020 10:15 - 13:00 Cours PER 21, Room D230 26.03.2020 10:15 - 13:00 Cours PER 21, Room D230 02.04.2020 10:15 - 13:00 Cours PER 21, Room D230 09.04.2020 10:15 - 13:00 Cours PER 21, Room D230 23.04.2020 10:15 - 13:00 Cours PER 21, Room D230 30.04.2020 10:15 - 13:00 Cours PER 21, Room D230 07.05.2020 10:15 - 13:00 Cours PER 21, Room D230 14.05.2020 10:15 - 13:00 Cours PER 21, Room D230 28.05.2020 10:15 - 13:00 Cours PER 21, Room D230 -
Assessments methods
Written exam
Assessments methods By rating -
Assignment
Valid for the following curricula: Additional Courses in Sciences
Version: ens_compl_sciences
Paquet indépendant des branches > Specialized courses in Computer Science (Master level)
Additional programme requirements for PhD studies [PRE-DOC]
Version: 2020_1/v_01
Additional programme requirements for PhD studies (Faculty of Science and Medicine) > Specialized courses in Computer Science (Master level)
Computer Science [3e cycle]
Version: 2015_1/V_01
Continuing education > Specialized courses in Computer Science (Master level)
Computer Science [POST-DOC]
Version: 2015_1/V_01
Continuing education > Specialized courses in Computer Science (Master level)
MSc in Computer science (BeNeFri)
Version: 2023_1/V_01
MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T6: Data ScienceMSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T5 : Information Systems and Decision Support
Ma - Business Communication : Business Informatics - 90 ECTS
Version: 2020/SA_V02
Courses - 60 ECTS > Option Group > Information Management > Cours > Module Informatik > Data Science
Ma - Business Informatics - 90 ECTS
Version: 2020/SA-v01
Classes - min. 45 ECTS > Module IT and IT Management > Data Science
MiMa - Business Informatics - 30 ECTS
Version: 2020/SA_V01
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MiMa - Data Analytics - 30 ECTS
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À choix 9 crédits ECTS > Data Science