This course is focused on basic data science techniques including data wrangling, machine learning, visualization, HPC, and communication skills.
Data Science 2: Advanced Topics
This is an advanced data science course, intended for grad students pursuing a thesis in related topics. We study learning theory, deep learning, probabilistic graphical models, approximate inference, and interactive visualization.
This is a core course of our grad programs. We study the research process, formulating a research project, designing experiments, collecting and analysing data, and presenting results.
In this course we see basic discrete math concepts such as recurrences, algebraic structures, graphs and Turing machines.