270239 PR Data Science in Metabolomics in R (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 04.09.2023 08:00 bis Mo 25.09.2023 23:59
- Abmeldung bis Mo 25.09.2023 23:59
Details
max. 15 Teilnehmer*innen
Sprache: Deutsch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Montag
23.10.
08:00 - 17:00
Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
Freitag
27.10.
09:00 - 18:00
Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
Montag
30.10.
08:00 - 17:00
Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
Montag
11.12.
08:00 - 17:00
Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
This course will be taught in English.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Methods used to evaluate the students’ performances:
• Active participation during the course
• Written final exam on the (presented) contents
• Presentation of the carried-out dataset evaluationShould it be necessary, students may be invited to an interview with the course instructor. This interview will then also count for the final mark.Permitted aids: R-Documentation (offline)
• Active participation during the course
• Written final exam on the (presented) contents
• Presentation of the carried-out dataset evaluationShould it be necessary, students may be invited to an interview with the course instructor. This interview will then also count for the final mark.Permitted aids: R-Documentation (offline)
Mindestanforderungen und Beurteilungsmaßstab
Students must be present during the first lecture of the course. Moreover, they have to participate in at least 75% of the course.In order to pass the course, students must reach at least 50% of the maximum possible points. Additionally, each evaluation criteria must be evaluated positively.Assessment criteria:
Students can earn a maximum of 100 points during the lecture. These are divided into:
• Active participation: 30 points
• Final exam: 40 points
• Presentation of the dataset evaluation: 30 pointsThe final marks are:
• 1 (A): 100 - 89 points
• 2 (B): 88 - 76 points
• 3 (C): 75 - 63 points
• 4 (D): 62 - 50 points
• 5 (F): 49 - 0 points
(Points will be rounded in favour of the student.)
Students can earn a maximum of 100 points during the lecture. These are divided into:
• Active participation: 30 points
• Final exam: 40 points
• Presentation of the dataset evaluation: 30 pointsThe final marks are:
• 1 (A): 100 - 89 points
• 2 (B): 88 - 76 points
• 3 (C): 75 - 63 points
• 4 (D): 62 - 50 points
• 5 (F): 49 - 0 points
(Points will be rounded in favour of the student.)
Prüfungsstoff
The contents of the lectures and practical work.
Literatur
The programming language R is open source and thus a large number of teaching materials are available free of charge for the students, which should be read and studied prior to the course. Some of these are:
• https://www.statmethods.net/r-tutorial/index.html
• https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdfXCMS and CAMERA are two commonly used software packages. They are also freely available and more information about them can be found at:
• https://dx.doi.org/10.1186/1471-2105-9-504
• https://dx.doi.org/10.1021/ac202450g
• https://www.bioconductor.org/packages/release/bioc/vignettes/CAMERA/inst/doc/CAMERA.pdf
• https://www.statmethods.net/r-tutorial/index.html
• https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdfXCMS and CAMERA are two commonly used software packages. They are also freely available and more information about them can be found at:
• https://dx.doi.org/10.1186/1471-2105-9-504
• https://dx.doi.org/10.1021/ac202450g
• https://www.bioconductor.org/packages/release/bioc/vignettes/CAMERA/inst/doc/CAMERA.pdf
Zuordnung im Vorlesungsverzeichnis
CH-SAS-07, AN-1, AN-2, BC-1
Letzte Änderung: Do 05.10.2023 15:08