Machine Learning and Data Science - Focus area

Machine Learning and Data Science

The explosion in the availability of data from the internet and modern sensor technology (in neuroscience, bio-medicine, imaging, etc.) offers new possibilities for science and technology, but it also poses significant challenges for the development of methodology and computational tools. Statistics, mathematical modeling, and computational methods come together in machine learning and data science to form solutions to these large-scale data engineering problems.

Core competences

02443 Stochastic Simulation 5 point June
02612 Constrained Optimization 5 point Spring F4A (Tues 13-17)

Programme specific courses

02407 Stochastic Processes - Probability 2 5 point Autumn E3A (Tues 8-12)
02409 Multivariate Statistics 5 point Autumn E1A (Mon 8-12)
02417 Time Series Analysis 5 point Spring F4B (Fri 8-12)
02427 Advanced Time Series Analysis 10 point Autumn E5 (Wed 8-17)
02429 Analysis of correlated data: Mixed linear models 5 point Autumn E2B (Thurs 8-12)
02456 Deep learning 5 point Autumn E2A (Mon 13-17)
02458 Cognitive Modelling 5 point Autumn E2B (Thurs 8-12)
02460 Advanced Machine Learning 5 point Spring F1B (Thurs 13-17)
02471 Machine learning for signal processing 5 point Autumn E1B (Thurs 13-17)
02477 Bayesian machine learning 5 point Spring F2A (Mon 13-17)
02501 Advanced Deep Learning in Computer Vision 5 point Spring F4A (Tues 13-17)
02516 Introduction to Deep Learning in Computer Vision 5 point January
02582 Computational Data Analysis 5 point Spring F2B (Thurs 8-12)
02807 Computational Tools for Data Science 5 point E7 (Tues 18-22)
42186 Model-based machine learning 5 point Spring F5B (Wed 13-17)

Electives

02282 Algorithms for Massive Data Sets 7.5 point Spring F1A (Mon 8-12)
02476 Machine Learning Operations 5 point January
02806 Social data analysis and visualization 5 point Spring F3A (Tues 8-12)