Dates
| weekly | Thursday | 08:15 - 09:45 | 06.04.2026 - 10.07.2026 | C 6.316 Seminarraum |
Curriculum context
Assessment
Form of assessment
Combined academic performance
Examiner
Elements of assessment:
Paper presentation (15%)
Research talk (25%)
Research paper (60%)
Research talk (25%)
Research paper (60%)
Dates
Date of assessment:
Friday, 31.07.2026
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Notices
Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.
Organizational information
Type of course
Lecture
planned way of execution
Vollständig Präsenz
Hours per week per semester
2
Registration process
centralized list procedure without participant limit
Maximum number of participants
30
Registration
Lottery procedure
centralized list procedure without participant limit
Time period
Registration ends 07.4.2026 at 23:59 h
Persons
Teaching staff
Content
Language of instruction
Englisch
Native Title
Probabilistic Modelling
Tags
none
Content and concept
The module discusses advanced concepts of probabilistic modelling and machine learning. We will focus on Bayesian statistics (graphical models, belief networks, multi-level models, Monte Carlo sampling approaches, and tools). During the course students choose one scientific article and strive to implement and estimate the probabilistic models described.
Objective
Students are able to assess quantitative research questions and develop probabilistic models based on this assessment.
Evaluation
Evaluation
This course has not been registered for teaching evaluation yet.
Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html