263-5351-00L  Machine Learning for Genomics

SemesterFrühjahrssemester 2022
DozierendeV. Boeva
Periodizitätjährlich wiederkehrende Veranstaltung
KommentarThe deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not provide project work and/or do not show up for the exam, will officially fail the course.

Number of participants limited to 75.

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte5 KP
PrüfendeV. Boeva
RepetitionEs wird ein Repetitionstermin in den ersten zwei Wochen des unmittelbar nachfolgenden Semesters angeboten.
Prüfungsmodusschriftlich 180 Minuten
Zusatzinformation zum PrüfungsmodusThe exam might take place at a computer.

Beside the end-of-semester exam, there will be two course projects that can be done in groups. As a compulsory continuous performance assessment task, the projects must be passed on their own and have a bonus/penalty function. The practical projects are an integral part (60 hours of work, 2 credits) of the course. Participation is mandatory.
Failing the project results in a failing grade for the overall examination of Machine Learning for Genomics. Students who do not pass the project are required to de-register from the exam and will otherwise be treated as a no show. Project work (1 project out of the two) can be replaced by a paper presentation (limited number of spots available).
Hilfsmittel schriftlichKeine
Online-PrüfungDie Prüfung kann am Computer stattfinden.
FernprüfungDas Ablegen als Fernprüfung ist nicht möglich.