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 fck245@ku.dk
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 anders.krogh@sund.ku.dk (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 |