Course development
CM2026 Advanced Machine Learning for Data-driven-Health 7.5 credits
On this page, you can track the course's development over time. Once the course analysis is published, data for each course offering is displayed, including the number of registered students, course results, and planned improvements for the next session. All course syllabuses and course memos are shown on the page Archive.
The information can help prospective, current, and former students with course selection, or to follow up on their own participation. Teachers, course coordinators, examiners, program directors, and others can use the page as a resource for course development.
2026
Spring 2026-60655 ( Start date 16 Mar 2026, English )
Changes planned for the next course offering
Replace Variational Inference with Causal inference.
Replace Graph Models with Time-series learning.
The project will have a grade instead of pass/fail.
Coordinator
No information insertedExaminers
Francisco Pena EscobarStudents
38Course syllabus
Course syllabus CM2026 ( Spring 2026 - )Course memo
No course memo addedCompulsory within programme
TDDHMResults on course
Total number
36
A
21
B
12
C
3
D
0
E
0
FX
0
F
0