Spring Term 

• Neural Networks for Machin Learning : This is a seminar-course for graduate students. We discuss Neural Networks as examples of machin learning algorithms for object recognation purposes. 
• Physics for Mathematics students : This is an introductory undergraduate course in Quantum Mechanics and Special Relativity for mathematics students. 
• Probability and Applications, undergraduate course. 

​Fall Term

• Riemannian Geometry: and an introduction to the mathematical framework of General Relativity
• Applied Machine Learning