Bioinformatics

This theme explores data science and AI methodologies in the context of advancing life sciences and healthcare. Technological advancements in molecular readout, synthesis, and editing have transformed the study of living organisms, necessitating new computational methods to unlock insights from high-dimensional molecular data and discover new possibilities in complex biological systems.

Year 1

Quarter 1

Quarter 2

Quarter 3

Quarter 4

Data management and Engineering Software Engineering and Testing for AI Systems Responsible Data Science and AI Engineering Research course
Machine and Deep Learning Theme 1 Theme 1 Theme 1
Probabilistic AI and Reasoning Theme 2 Theme 2 Theme 2

Credits: each course in a theme is 5EC, so each theme is 15EC.

Students choose 2 themes, each of which has 3 courses in the 2nd, 3rd and 4th quarters of the 1st year. For this theme, you will take the following courses:

Q2 - Algorithms for sequence-based Bioinformatics

Q3 - Algorithms for network-based Bioinformatics

Q4 - Machine Learning in Bioinformatics