Mathematics

Graduate level

  • Analysis I
  • Mathematical Algorithms II (Topics in Optimization)

Undergraduate level

  • Mathematical Analysis I, II
  • Linear Algebra I, II
  • Abstract Algebra I, II
  • Topology I
  • Complex Analysis I
  • Financial Mathematics I
  • Random Processes
  • Discrete Mathematics
  • Sets and Mathematical Logic
  • Cryptography

Statistics

Graduate level

  • Probability Theory I, II
  • Theory of Statistics I
  • Applied Statistics
  • Causal Inference
  • Theory of Deep Learning: Statistical Perspective
  • Spatial Statistics

Undergraduate level

  • Mathematical Statistics I, II
  • Regression Analysis and Lab.
  • Concepts and Applications in Probability
  • Statistical Computing and Lab.
  • Multivariate Data Analysis and Lab.
  • Bayesian Statistics and Lab.
  • Nonparametric Statistics and Lab.
  • Time Series Analysis and Lab.
  • Data Mining Methods and Lab.