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23605-01 - Vorlesung: Computational Biology I: Quantitative Data Analysis 4 KP

Semester Frühjahrsemester 2020
Angebotsmuster Jedes Frühjahrsem.
Dozierende Erik van Nimwegen (erik.vannimwegen@unibas.ch, BeurteilerIn)
Inhalt This course provides a general introduction into quantitative analysis of data. Students will be introduced to the modern view of probability theory as a general method for reasoning with incomplete information and, guided by practical examples taken from computational biology, will get acquainted with the most important concepts and methods used in statistical analysis and modeling of data. By the end of the course students should have gained a solid understanding of the fundamentals of probabilistic analysis, and how to apply it to analyze biological data. The course also acts to introduce the probabilistic methods which are used in the more sophisticated computational biology applications that are presented in the course Computational Biology II (27247).
Bemerkungen The groups for the exercises will be formed in the first lecture.
Weblink https://adam.unibas.ch

 

Teilnahmebedingungen Students should fulfil the following prerequisites:
- Mathematics Background: Although no formal requirements are made, the course assumes that students are comfortable with mathematical methods including analysis, calculus, and linear algebra, at a fairly advanced level.
- Computer Science Background: Although not required, familiarity with the basic of programmings and/or usage of software such as Maple and Matlab, is helpful.
Unterrichtssprache Englisch
Einsatz digitaler Medien Online-Angebot obligatorisch

 

Intervall wöchentlich
Datum 17.02.2020 – 25.05.2020
Zeit Montag, 14.15-16.00 Biozentrum, Hörsaal 103
Datum Zeit Raum
Montag 17.02.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 24.02.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 02.03.2020 14.15-16.00 Uhr Fasnachtsferien
Montag 09.03.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 16.03.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 23.03.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 30.03.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 06.04.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 13.04.2020 14.15-16.00 Uhr Ostern
Montag 20.04.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 27.04.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 04.05.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 11.05.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 18.05.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Montag 25.05.2020 14.15-16.00 Uhr Biozentrum, Hörsaal 103
Module Modul: Applications and Related Topics (Bachelorstudium: Computer Science)
Modul: Computational Biology (Bachelorstudium: Computational Sciences)
Modul: Computational Biology (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) (Pflicht)
Modul: Computational Chemistry (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018))
Modul: Computational Physics (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018))
Modul: Computational Sciences II (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018))
Modul: Computational Sciences II (Bachelorstudium: Computational Sciences)
Modul: Physikalische Chemie / Biophysikalische Chemie (Bachelorstudium: Biologie)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung The exercises have to be solved on computers, and the results have to be sent in by email. Students are asked to discuss their solutions at the exercise sessions. Attendance of these exercise sessions is obligatory. In addition to the results of the exercises, there will be a written exam at the end of the course.
Exam: 5 June 2020, 14:00-16:00h, HS1 Pharmezentrum
An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
Wiederholungsprüfung keine Wiederholungsprüfung
Skala 1-6 0,5
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch
Anbietende Organisationseinheit Departement Biozentrum

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