Schedule & milestones
Classes run remotely on Thursdays from 16:45 to 18:15, with some hybrid sessions (in person plus online). Every student must attend the hybrid sessions in person unless they have a valid reason.
Milestones
| Milestone | Date | Notes |
|---|---|---|
| First class | Thu 22 Oct 2026 | We introduce the listed projects. |
| Topic approval deadline | TBD | Your topic must be approved by this date. See the proposal guide. |
| Late approval window | The week after the approval deadline | Only in exceptional cases that you can justify. A grade penalty applies (see Grading), and no new topics are approved after the window closes. |
| Poster and video due | Tue 9 Mar 2027 | One week before the symposium. See the presentation package. |
| Symposium | Tue 16 Mar 2027 | A full day in Hörsaal B at TUM Klinikum Rechts der Isar (MRI). See the symposium format. |
| Reproducibility package due | Tue 23 Mar 2027 | One week after the symposium. See the reproducibility package. |
We will announce the topic approval deadline in class and add it here.
The sooner your topic is approved, the sooner you can start real work. Arranging data access, equipment and supervision takes time.
Class participation
Classes let you learn from each other and hear about interesting work from us and our guests. We don't believe in forcing everyone to come. We do require that, from the first class on, at least one member of each group attends every class. Joining online counts, and it doesn't have to be the same person each time. That person gives a short update ("no update" is a valid update) and asks us at least one question. If you don't have a group yet, come to class yourself.
We ask for this because in past semesters, strong teams that skipped classes made avoidable mistakes that could not be undone, including losing clinical data. One question in class would have prevented them. Asking questions never counts against you.
A missed class counts against your group under criterion 6 (Independence, initiative & professionalism) unless your group told us beforehand with a ticket to support@cacom.dev.
Course structure
In the first phase, internal instructors and guest speakers from clinics, research institutions and industry lecture on real-world applications of computational medicine in clinical practice. In the second phase, lectures alternate with project work and mentoring sessions, where we give feedback and technical guidance.
The semester ends with a full-day symposium with invited speakers. The presentation package page describes its format and requirements.