Introduction to R
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Teaching
Details
Faculty Faculty of Science and Medicine Domain Biology Code UE-SBL.30001 Languages English Type of lesson Cours bloc
Level Master Semester AS-2022 Title
French Introduction à R German Einführung in R English Introduction to R Schedules and rooms
Summary schedule Monday 08:15 - 12:00, Cours bloc (Autumn semester)
Monday 13:15 - 17:00, Cours bloc (Autumn semester)
Wednesday 08:15 - 12:00, Cours bloc (Autumn semester)
Wednesday 13:15 - 17:00, Cours bloc (Autumn semester)
Friday 13:15 - 17:00, Cours bloc (Autumn semester)
Struct. of the schedule cours bloc Contact's hours 24 Teaching
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Dates and rooms
Attention:
The course SBL.30001 will start at 10.15 on Sept 19th 2022 (Campus Pérolles, Bd de Pérolles 90 - building 21, room C130).
Welcome Event for the new students Masters in Bioinformatics and Computational Biology at 8.15 am in the same room (Campus Pérolles, Bd de Pérolles 90 - building 21, room C130).
Date Hour Type of lesson Place 19.09.2022 08:15 - 12:00 Cours PER 21, Room C130 19.09.2022 13:15 - 17:00 Cours PER 21, Room F130 21.09.2022 08:15 - 12:00 Cours PER 21, Room G140 21.09.2022 13:15 - 17:00 Cours PER 21, Room C120 23.09.2022 13:15 - 17:00 Cours PER 21, Room G230 26.09.2022 08:15 - 12:00 Cours PER 21, Room C130 26.09.2022 13:15 - 17:00 Cours PER 21, Room F130 28.09.2022 08:15 - 12:00 Cours PER 21, Room G140 28.09.2022 13:15 - 17:00 Cours PER 21, Room C120 30.09.2022 13:15 - 17:00 Cours PER 21, Room G230 -
Assessments methods
Written exam - AS-2022, Session d'hiver 2023
Date 16.02.2023 13:00 - 14:30 Assessments methods By rating Descriptions of Exams Written exam (90 min) during the exam session. One mark. To access the exam, the exercises corresponding to the course must have been successfully completed, according to criteria communicated at the beginning of the course
Written exam - SS-2023, Autumn Session 2023
Date 28.08.2023 17:15 - 18:45 Assessments methods By rating Descriptions of Exams Written exam (90 min) during the exam session. One mark. To access the exam, the exercises corresponding to the course must have been successfully completed, according to criteria communicated at the beginning of the course
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Assignment
Valid for the following curricula: Additional Courses in Sciences
Version: ens_compl_sciences
Paquet indépendant des branches > Specialized courses in Biology (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 Biology (Master level)
Art History 120
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Profils > Archeology > Archeology > Module 10 : Soft Skills
Bioinformatics [3e cycle]
Version: 2024_2/V_01
Continuing education > Specialized courses in Biology (Master level)
Biology [3e cycle]
Version: 2024_2/V_01
Continuing education > Specialized courses in Biology (Master level)
Biology [POST-DOC]
Version: 2015_1/V_01
Continuing education > Specialized courses in Biology (Master level)
MSc in Environmental Biology, option Applied Environmental Biology 120 [MA]
Version: 2024_1/V_01
MSc in Environmental Biology, option Applied Environmental Biology, lectures and seminars (from AS2021 on) > MSc-EB, option Applied Environmental Biology, elective courses (from AS2024 on) > Recommended courses
MSc in Environmental Biology, option Ecology and Evolution 120 [MA]
Version: 2024_1/V_01
MSc in Environmental Biology, option Ecology and Evolution, lectures and seminars (from AS2021 on) > MSc-EB, option Ecology and Evolution, elective courses (from AS2024 on) > Recommended courses
MSc in Environmental Biology, option Plant and Microbial Sciences 120 [MA]
Version: 2024_1/V_01
MSc in Environmental Biology, option Plant and Microbial Sciences, lectures and seminars (from AS2021 on) > MSc-EB, option Plant and Microbial Sciences, elective courses (from AS2024 on) > Recommended courses
MSc in Environmental Biology, option Teaching 90 [MA]
Version: 2024_1/V_01
MSc in Environmental Biology, option Teaching, lectures and seminars (from AS2021 on) > MSc-EB, option Teaching, elective courses (from AS2024 on) > elective courses
MSc in Molecular Life and Health Sciences, option Biochemistry and Cell Biology 120 [MA]
Version: 2024_1/V_01
MSc in Molecular Life and Health Sciences, option Biochemistry and Cell Biology, lectures and seminars (from AS2021 on) > MSc-ML, option Biochemistry and Cell Biology, elective courses (from AS2024 on) > Recommended courses
MSc in Molecular Life and Health Sciences, option Developmental Biology and Regeneration 120 [MA]
Version: 2024_1/V_01
MSc in Molecular Life and Health Sciences, option Developmental Biology and Regeneration, lectures and seminars (from AS2021 on) > MSc-ML, option Developmental Biology and Regeneration, elective courses (from AS2024 on) > Recommended courses
MSc in Molecular Life and Health Sciences, option Neurobiology 120 [MA]
Version: 2024_1/V_01
MSc in Molecular Life and Health Sciences, option Neurobiology, lectures and seminars (from AS2021 on) > MSc-ML, option Neurobiology, elective courses (from AS2024 on) > Recommended courses
MSc in Molecular Life and Health Sciences, option Teaching 90 [MA]
Version: 2024_1/V_01
MSc in Molecular Life and Health Sciences, option Teaching, lectures and seminars (from AS2021 on) > MSc-ML, option Teaching, elective courses (from AS2024 on) > Recommended courses
Ma - Data Analytics & Economics - 90 ECTS
Version: 2020-SA_V02
Courses min 63 ECTS > Mandatory Modules (45 to 63 ECTS) > Module I: Data Analytics (Data) > Elective courses