COURSES TAKEN

"If I were again beginning my studies, I would follow the advice of Plato and start with mathematics."

Galileo Galilei

This page can help you assess if I am well prepared for some topics :-)

Lehigh:

Taken:

• ISE 403 Research Methods

• ISE 406 Fundamentals of Optimization

• ISE 417 Nonlinear Optimization

• ISE 429 Probability and Stochastic Processes

• ISE 456 Conic Optimization

• CSE 440 Advanced Algorithms

Georgia Tech (MSOR):

Taken:

• ISYE 6320 Public Impact Applications of OR (Project Based Course)

• ISYE 6644 Simulation

• ISYE 6645 Monte Carlo Method

• ISYE 6662 Discrete Optimization (Ph.D. Level)

• ISYE 6663 Nonlinear Optimization (Ph.D. Level) 

• ISYE 6679 Computational Methods

• ISYE 6740 Computational Data Analysis

• ISYE 6761 Stochastic Processes I (Ph.D. Level) 

• ISYE 6762 Stochastic Processes II (Ph.D. Level)

• ISYE 8813 Math of Operations Research (Ph.D. Level)

• ISYE 8813 Constraint Programming

• ISYE 8813 Modern Convex Optimization (Ph.D. Level)

MITx MicroMaster Program in Statistics and Data Science

Taken:

6.419x Data Analysis: Statistical Modeling and Computation in Applications

6.431x Probability - The Science of Uncertainty and Data (Got perfect 100%)

6.86x Machine Learning with Python-From Linear Models to Deep Learning

18.6501x Fundamentals of Statistics

Capstone Exam (Passed with A)

UIUC/ZJU (BS, Major in Mechanical Engr, Minor in Electrical and Comp Engr): 

Math: Calculus I/II/III, Differential Equations, Linear Algebra, Probability with Calculus

Mechanical Engr: Statics, Thermal Dynamics, Heat Transfer, Fluid Dynamics, Mechanical Design, Materials, etc.

Electrical and Comp Engr: Data Science, Machine Learning, Robotics, Signal Processing, Fields & Waves, etc.

Coursera & EdX

• Intro to Quantum Computing I

• Discrete Optimization

• Unix Workbench

• Neural Network Basics

• Operations Research