227-0973-00L  Translational Neuromodeling

SemesterFrühjahrssemester 2022
DozierendeK. Stephan
Periodizitätjährlich wiederkehrende Veranstaltung

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte8 KP
PrüfendeK. Stephan
Formbenotete Semesterleistung
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.
ZulassungsbedingungGood knowledge of principles of statistics,
good programming skills (MATLAB, Julia, or Python).
Zusatzinformation zum PrüfungsmodusStudents are required to use one of the examples discussed in the course as a basis for either developing their own generative model or for applying an existing model to a clinical question in an original manner.
The model/ analysis is to be submitted as open source code (in MATLAB, Julia or Python), and the motivation and results are presented in a 15 min oral presentation followed by 15 min critical discussion. Group work (up to 3 students) is required. The submitted code must be executable without any dependencies on specific operating systems or local setups.
Grading will depend on (i) originality of the question that is addressed, (ii) quality and degree of completion of the modeling, (iii) clarity and functionality of the code, (iv) the quality and clarity of the oral presentation, (iv) the quality and clarity of the written project report.
The code is to be submitted by 02.06.2022; the oral presentations take place on 03.06.2022
Admission to the final project is subject to students having successfully obtained at least 40% of the points for each exercise (1 miss allowed) during the semester.