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

Semester Frühjahrsemester 2025
Weitere Semesterveranstaltungen zu diesen KP 23605-01 (Vorlesung)
23605-02 (Übung)
23605-03 (Übung)
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

 

Teilnahmevoraussetzungen 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 Wochentag Zeit Raum
wöchentlich Montag 14.15-16.00 Biozentrum, Seminarraum U1.193

Einzeltermine

Datum Zeit Raum
Montag 17.02.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 24.02.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 03.03.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 10.03.2025 14.15-16.00 Uhr Fasnachstferien
Montag 17.03.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 24.03.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 31.03.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 07.04.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 14.04.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 21.04.2025 14.15-16.00 Uhr Ostern
Montag 28.04.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 05.05.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 12.05.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 19.05.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Montag 26.05.2025 14.15-16.00 Uhr Biozentrum, Seminarraum U1.193
Module Modul: Applications and Related Topics (Bachelorstudium: Computer Science)
Modul: Computational Biology (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2023))
Modul: Computational Biology (Bachelorstudium: Computational Sciences)
Modul: Computational Biology (Bachelorstudium: Computational Sciences)
Modul: Computational Biology (Bachelorstudium: Computational Sciences)
Modul: Computational Biology (Bachelorstudium: Computational Sciences)
Modul: Computational Methods (Bachelorstudium: Computational Sciences)
Modul: Computational Methods (Bachelorstudium: Computational Sciences)
Modul: Computational Methods (Bachelorstudium: Computational Sciences)
Modul: Computational Methods (Bachelorstudium: Computational Sciences)
Modul: Computational Sciences II (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2023))
Modul: Molekularbiologie (Bachelorstudium: Biologie)
Modul: Physikalische Chemie / Biophysikalische Chemie (Bachelorstudium: Biologie (Studienbeginn vor 01.08.2022))
Prüfung Lehrveranst.-begleitend
Hinweise zur Prüfung 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: Zeit und Ort folgt
An-/Abmeldung zur Prüfung Anm.: Belegen Lehrveranstaltung; Abm.: stornieren
Wiederholungsprüfung keine Wiederholungsprüfung
Skala 1-6 0,5
Belegen bei Nichtbestehen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch
Anbietende Organisationseinheit Departement Biozentrum

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