"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