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 SA-2021 Title
French Introduction à R German Einführung in R English Introduction to R Schedules and rooms
Summary schedule Monday , Cours bloc (Autumn semester)
Struct. of the schedule cours bloc Contact's hours 24 Teaching
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Dates and rooms
Date Hour Type of lesson Place 20.09.2021 08:15 - 10:00 Cours PER 04, Room 0.110 20.09.2021 09:15 - 12:00 Cours PER 04, Room 0.109 20.09.2021 13:15 - 18:00 Cours PER 04, Room 0.110 22.09.2021 09:15 - 12:00 Cours PER 04, Room 0.110 22.09.2021 13:15 - 18:00 Cours PER 04, Room 0.109 27.09.2021 09:15 - 12:00 Cours PER 04, Room 0.109 27.09.2021 13:15 - 18:00 Cours PER 04, Room 0.110 29.09.2021 09:15 - 12:00 Cours PER 04, Room 0.110 29.09.2021 13:15 - 18:00 Cours PER 04, Room 0.109 -
Assessments methods
Written exam
Assessments methods By rating Descriptions of Exams Written exam (90 min.) during the semester. One mark
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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
Version: SA23_BA_120_bi_v01
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Biology [3e cycle]
Version: 2015_1/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 Bioinformatics and Computational Biology [MA] 120
Version: 2023_1/V_01
MSc in Bioinformatics and computational biology, courses > MSc-BI, Module “Computer Science” (from AS2023 on)
MSc in Environmental Biology, option Applied Environmental Biology 120 [MA]
Version: 2022_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 AS2022 on) > Recommended courses
MSc in Environmental Biology, option Ecology and Evolution 120 [MA]
Version: 2022_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 AS2022 on) > Recommended courses
MSc in Environmental Biology, option Plant and Microbial Sciences 120 [MA]
Version: 2022_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 AS2022 on) > Recommended courses
MSc in Molecular Life and Health Sciences, option Biochemistry and Cell Biology 120 [MA]
Version: 2022_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, compulsory courses (from AS2021 on)
MSc in Molecular Life and Health Sciences, option Developmental Biology and Regeneration 120 [MA]
Version: 2022_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, compulsory courses (from AS2021 on)
MSc in Molecular Life and Health Sciences, option Marine Biology 120 [MA]
Version: 2022_1/V_01
MSc in Molecular Life and Health Sciences, option Marine Biology, lectures and seminars (from AS2021 on) > MSc-ML, option Marine Biology, compulsory courses (from AS2021 on)
MSc in Molecular Life and Health Sciences, option Neurobiology 120 [MA]
Version: 2022_1/V_01
MSc in Molecular Life and Health Sciences, option Neurobiology, lectures and seminars (from AS2021 on) > MSc-ML, option Neurobiology, compulsory courses (from AS2021 on)
MSc in Molecular Life and Health Sciences, option Teaching 90 [MA]
Version: 2023_1/V_01
MSc in Molecular Life and Health Sciences, option Teaching, lectures and seminars (from AS2021 on) > MSc-ML, option Teaching, compulsory courses (from AS2023 on)
Ma - Data Analytics & Economics - 90 ECTS
Version: 2020/SA-v01
Courses min 63 ECTS > Mandatory Modules (45 to 63 ECTS) > Module I: Data Analytics (Data)