Graduate Studies

The following are the courses that I have taken at Stony Brook University during my graduate career:

Applied Mathematics and Statistics

AMS 500: Responsible Conduct of Research and Scholarship (RCRS)

AMS 507: Introduction to Probability

AMS 510: Analytical Methods for Applied Mathematics and Statistics

AMS 516: Statistical Methods in Finance (Wish to self-teach soon)

AMS 540: Linear Programming

AMS 550: Stochastic Models

AMS 553: Simulation and Modeling

AMS 556: Dynamic Programming

AMS 569: Probability Theory

AMS 570: Introduction to Mathematical Statistics

AMS 571: Mathematical Statistics

AMS 572: Data Analysis

AMS 573: Categorical Data Analysis

AMS 577: Multivariate Analysis (Wish to self-teach soon)

AMS 578: Regression Theory

AMS 580: Statistical Learning

AMS 582: Design and Analysis of Experiments

AMS 583: Applied Longitudinal Data Analysis (Wish to self-teach soon)

AMS 586: Time Series

AMS 587: Nonparametric Statistics (Self-taught)

AMS 588: Failure and Survival Data Analysis (Self-taught)

AMS 595: Fundamentals of Computing

AMS 597: Statistical Computing

AMS 598: Big Data Analysis (Wish to self-teach soon)

AMS 698: Practicum in Teaching

Computer Science

CSE 519: Data Science

Economics

ECO 521: Econometrics

ECO 604: Game Theory I (Self-taught)

ECO 605: Game Theory II (Self-teaching)

Journalism

JRN 501: Foundations of Science Communication I

JRN 503: Foundations of Science Communication II

Additional Applied Mathematics and Statistics Topics

AMS 691: Fundamentals of Reinforcement Learning (Self-taught)

STAT 6520: Applied Statistical Analysis with Missing Data (Self-taught)