Apr 22 and 24-29, 2024
PANUM, Blegdamsvej 3B, 2200 Copenhagen, **Room 31.01.4A (22-26/4) and 29.01.32 (29/4) ** (both rooms are in the basement of Panum in the end towards Nørre Alle)
Official course description: https://phdcourses.ku.dk/DetailKursus.aspx?id=111404&sitepath=SUND
Main teacher: Shyam Gopalakrishnan [email protected]
Introduction to ML
| Time | |
|---|---|
| 9-9.15 | Welcome |
| 9.15-10 | Introduction to Machine Learning |
| 10-12 | Unsupervised learning and PCA |
| 12-13 | Lunch break |
| 13-14 | PCA exercises |
| 14-15 | Classification and regression. Logistic regression |
| 15-17 | exercises |
Main teachers: Shyam (morning) and Anders Krogh [email protected] (afternoon)
Details in Day2
| Time | |
|---|---|
| 9-10 | Supervised Learning |
| 10-11 | Random forest, boosting, etc |
| 11-12 | Exercises |
| 12-13 | Lunch break |
| 13-14 | Lecture: Introduction to neural networks. |
| 14-17 | Introduction to Pytorch. |
Main Teacher: Anders
Details in Day3
| Time | |
|---|---|
| 9-10 | Lecture: Training neural networks. |
| 10-11 | Exercise with gene expression data |
| 11-12 | Lecture: Convolutional models. Performance evaluation. |
| 12-13 | Lunch break |
| 13-14 | Exercise on prediction of TSS in DNA sequences |
| 14-15 | Lecture: Generative AI in Life(&)Science |
| 15-17 | Start project work. |
| Time | |
|---|---|
| 9-12 | Continue project work |
| 12-13 | Lunch break |
| 13-14 | Lecture: A generative model for transcriptomics |
| 14-17 | Continue project work |
| Time | |
|---|---|
| 9-11 | Final touch on projects |
| 11-12 | Group presentation of projects |
| 12-13 | Lunch break |
| 13-15 | Group presentation of projects |
| 15-16 | Final words and evaluation of course |