Studying

“I have never let schooling interfere with my education” - Mark Twain

UIUC Statistics Coursework

Detailed descriptions can be found here.

• STAT 212: Biostatistics
• STAT 400: Statistics and Probability I
• STAT 410: Statistics and Probability II
• STAT 420: Methods of Applied Statistics
• STAT 424: Analysis of Variance
• STAT 425: Statistical Modeling I
• STAT 426: Statistical Modeling II
• STAT 428: Statistical Computing
• STAT 429: Time Series Analysis
• STAT 430: Data Science Programming
• STAT 431: Applied Bayesian Analysis
• STAT 432: Basics of Statistical Learning
• STAT 433: Stochastic Processes
• STAT 480: Data Science Foundations
• STAT 510: Mathematical Statistics
• STAT 527: Advanced Regression Analysis
• STAT 542: Statistical Learning
• STAT 593: Statistics Internship

UIUC Mathematics Coursework

• MATH 220: Calculus
• MATH 225: Introductory Matrix Theory
• MATH 231: Calculus II
• MATH 241: Calculus III
• MATH 284: Introductory Differential Systems
• MATH 415: Applied Linear Algebra
• MATH 416: Abstract Linear Algebra
• MATH 417: Abstract Algebra I
• MATH 444: Elementary Real Analysis
• MATH 446: Applied Complex Variables
• MATH 447: Real Variables
• MATH 540: Real Analysis (In progress)
• MATH 563: Risk Modeling and Analysis (In progress)
• MATH 564: Applied Stochastic Processes (In progress)

GT Computer Science Coursework

• CS 6200: Graduate Introduction to Operating Systems
• CS 6220: High Performance Computing
• CS 7642: Reinforcement Learning
• CS 7646: Machine Learning for Trading
• IYSE 6669: Deterministic Optimization

Actuarial Exams

• SOA Probability
• SOA Financial Mathematics
• SOA Investing and Financial Markets
• CAS Modern Actuarial Statistics I
• CAS Modern Actuarial Statistics II