teaching

Vēritās līberābit vōs

MAT2041 Linear Algebra: Theory and Applications

This is a new and fundamental course designed for the freshmen in the school of data science (SDS). Different from tranditional linear algebra courses, we introduce a mordern syllabus and try to make the fundamenal concepts in linear algebra more understandable while also provide students with rigorous math training. Instead of starting the first lecture by introducing methods to solve a system of linear equations, we think it is not only important to tell the students how, but also why to solve the problems. Lots of data science problems are provided to motivate the need of mathematical treatment and concepts, and demonstrate the usefulness of linear algebra.

CSC4210 Advanced Machine Learning

Interpretability, explanability, safety, fairness, and robustness in machine learning.