Robotique / Robotik
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Teaching
Details
Faculty Faculty of Science and Medicine Domain Computer Science Code UE-SIN.02022 Languages French , German Type of lesson Exercise
Lecture
Project
Level Bachelor Semester SS-2025 Title
French Robotique German Robotik English Robotics Schedules and rooms
Summary schedule Thursday 13:15 - 16:00, Hebdomadaire, PER 21, Room F130 (Spring semester)
Struct. of the schedule 2+2h par semaine durant 14 semaines Contact's hours 56 Teaching
Responsibles - Lalanne Denis
Teachers - Nembrini Julien
Assistants - Visetti Marta
Description La première partie du semestre porte sur les fondamentaux de la robotique mobile sous la forme de travaux pratiques bi-hebdomadaires (robots e-puck, capteurs, contrôle temps réel, machines de Braitenberg, reconnaissance de couleurs, ...). La deuxième moitié du semestre est consacrée à la réalisation d'une tâche imposée, ainsi qu'à la définition et la réalisation d'un petit projet.
Training objectives Introduction à la robotique et programmation (python) à travers les robots e-puck 2, en réalisant un projet inspiré des machines de Braitenberg. Les concepts de la robotique contemporaine sont seulement présentés car ils demandent des compétences de niveau Master. Rédactions de rapport avec latex.
Condition of access Please register on the portail étudiant for the class, in order the teacher can send you the log in code for the Moodle cours.
If you have difficulties to register on the student portal, please send a message with your full name, SIUS nr, cours title and cours code to stephanie.fasel@unifr.ch .Comments Les unités d’enseignement se composent généralement de deux heures de cours et deux heures d’exercices par semaine. L’évaluation de cette unité d'enseignement est continue et il n'y a donc pas d'inscription aux épreuves de la Faculté des sciences. Pour cette raison, il est absolument nécessaire, que tous étudiants s'inscrivent pour ce cours au début du semestre par le portail étudiant. Merci de respecter les délais d'inscriptions aux cours de la faculté des sciences et médecine.
ATTENTION: les travaux pratiques demandent une présence hebdomadaire à FribourgSoftskills No Off field No BeNeFri Yes Mobility Yes UniPop No -
Dates and rooms
Date Hour Type of lesson Place 20.02.2025 13:15 - 16:00 Cours PER 21, Room F130 27.02.2025 13:15 - 16:00 Cours PER 21, Room F130 06.03.2025 13:15 - 16:00 Cours PER 21, Room F130 13.03.2025 13:15 - 16:00 Cours PER 21, Room F130 20.03.2025 13:15 - 16:00 Cours PER 21, Room F130 27.03.2025 13:15 - 16:00 Cours PER 21, Room F130 03.04.2025 13:15 - 16:00 Cours PER 21, Room F130 10.04.2025 13:15 - 16:00 Cours PER 21, Room F130 17.04.2025 13:15 - 16:00 Cours PER 21, Room F130 01.05.2025 13:15 - 16:00 Cours PER 21, Room F130 08.05.2025 13:15 - 16:00 Cours PER 21, Room F130 15.05.2025 13:15 - 16:00 Cours PER 21, Room F130 22.05.2025 13:15 - 16:00 Cours PER 21, Room F130 -
Assessments methods
Evaluation continue
Assessments methods By rating Descriptions of Exams Selon modalité A de l'annexe du plan d'études en informatique
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Assignment
Valid for the following curricula: Medien und Informatik 50 [BSc/BA SI]
Version: 2022_1/V_01
BSc_SI/BA_SI, Medien und Informatik 50 ECTS, 1st-3rd years > BSc_SI/BA_SI, Mathematics, 2nd-3rd years, compulsory UE (from SA2020 on)
Additional Courses in Sciences
Version: ens_compl_sciences
Paquet indépendant des branches > Initiation courses in Computer Science
Additional Programme Requirements to the MSc in Bioinformatics and Computational Biology [MA]
Version: 2022_1/V_01
Additional Programme Requirements to the MSc Bioinformatics and Computational Biology > Initiation courses in Computer Science
Additional Programme Requirements to the MSc in Computer Science [MA]
Version: 2022_1/V_01
Supplement to the MSc in Computer science > Initiation courses in Computer Science
Additional Programme Requirements to the MSc in Digital Neuroscience [MA]
Version: 2023_1/V_01
Supplement to the MSc in Computer science > Initiation courses in Computer Science
Additional TDHSE programme in Computer Science
Version: 2022_1/V_01
Additional TDHSE Programme Requirements for Computer Science 60 or +30 > Programmes 60 or +30 > Additional Programme Requirements to Computer Science 60 > Additional TDHSE programme for Computer Science 60 (from AS2020 on)
Ba - Business Informatics - 180 ECTS
Version: 2020-SA_V02
3nd year 60 ECTS > 3rd year courses > Cours à choix min. 14 ECTS / Wahlkurse min. 14 ECTS > Cours à choix - Type A / Wahlkurse - Typus A > Robotics
Computer Science 120
Version: 2022_1/V_01
BSc in Computer science, Major > Computer Science 1. year (from AS2019 on)
Computer Science 30
Version: 2022_1/V_01
Minor in Computer science 30 > Computer Science, Minor 30 or 60 ECTS elective (from AS2019 on)
Computer Science 60
Version: 2022_1/V_01
Minor in Computer Science 60 > Computer Science, Minor 30 or 60 ECTS elective (from AS2019 on)
Computer Science 30 [BSc_SI/BA_SI]
Version: 2022_1/V_01
BSc_SI/BA_SI, Computer science 30 ECTS, 1st-3rd years > BSc_SI/BA_SI, Mathematics, 2nd-3rd years, compulsory UE (from SA2020 on)
Computer Science 50 [BSc_SI/BA_SI]
Version: 2022_1/V_01
BSc_SI/BA_SI, Computer science 50 ECTS, 1st-3rd years > BSc_SI/BA_SI, Mathematics, 2nd-3rd years, compulsory UE (from SA2020 on)
Computer Science [3e cycle]
Version: 2015_1/V_01
Continuing education > Initiation courses in Computer Science
Computer Science [POST-DOC]
Version: 2015_1/V_01
Continuing education > Initiation courses in Computer Science
Computer Science [TDHSE] 60
Version: 2022_1/V_01
Minor in Computer Science (TDHSE) 60 > Computer Science, Minor TDHSE 60 ECTS elective (from SA2021 on)
Pre-Master-Programme to the MSc in Bioinformatics and Computational Biology [PRE-MA]
Version: 2022_1/V_01
Prerequisite to the MSc in Bioinformatics and Computational Biology > Initiation courses in Computer Science
Pre-Master-Programme to the MSc in Computer Science [PRE-MA]
Version: 2022_1/V_01
Prerequisite to the MSc in Computer science > Initiation courses in Computer Science
Pre-Master-Programme to the MSc in Digital Neuroscience [PRE-MA]
Version: 2023_1/V_01
Pre-Master-Programme to the MSc in Digital Neuroscience > Initiation courses in Computer Science