Selected Graduate Coursework

  • Mathematics

    • MAA6616/6617: Real Analysis and Functional Analysis

    • MAP6472/6473: Probability and Potential Theory

    • MAP6208: Numerical Optimization

    • MATH833: Modern Discrete Probability

  • Statistics

    • STAT709/710: Mathematical Statistics

    • STAT840: Statistical Model Building and Learning

    • STAT849/850: Theory and Application of Regression and Analysis of Variance

    • STAT741: Survival Analysis Theory and Methods

    • STAT771: Statistical Computing

    • STAT992: Graphical Model (Poster and Final Report )

  • Computer Science

    • CS532: Theory and Application of Pattern Recognition(Final Report)

    • CS727: Convex Analysis

    • CS760: Machine Learning

    • CS761: Advanced Machine Learning

    • CS880: Algorithms for Massive Datasets

    • ECE901: Spectral Methods in Machine Learning(Final Report)