Courses

  • Real Analysis.

  • Measure Theory.

  • Topology (point-set).

  • Linear Algebra.

  • Stochastic Models and Applications.

  • Stochastic Processes and Queuing Theory.

  • Stochastic Approximation.

  • Game Theory.

  • Convex Optimization.

  • Detection and Estimation Theory.

  • Dynamics of Linear System.

  • Stochastic Models and Applications.

  • Pattern Recognition and Neural Networks.

  • Detection and Estimation Theory.