Core Courses

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At University of Michigan

Fall 2020

• STATS 621 Probability Theory, by Prof. Robert Keener
• MATH 556 Applied Functional Analysis
• STATS 750 Directed Reading: supervised by Prof. Long Nguyen

Winter 2020

• STATS 601 Multivariate and Categorical Data Analysis
• STATS 611 Large Sample Theory, by Prof. Robert Keener
• STATS 620 Applied Probability and Stochastic Modeling
• STATS 499 Honors Seminar: supervised by Prof. Long Nguyen

Fall 2019

• EECS 505 Computational Data Science and Machine Learning
• BIOSTAT 615 Statistical Computing
• BIOSTAT 675 Survival Analysis
• STATS 510 Probability Distribution Theory
• STATS 500 Statistical Learning

At The Chinese University of Hong Kong, Shenzhen

I learned a lot during my three years at CUHK(SZ), including Stochastic Process, Time Series, Optimization, Multivaraite Stats, Data Mining, Statistical Learning, Regression, Inference, Prob & Stats, Linear Algera, Mathematical Analysis, Calculus, etc.

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