National University of Singapore

Department of Statistics & Data Science

Guides:

• Understanding the Benjamini-Hochberg method
  These slides provide an intuitive understanding of how and why the Benjamini-Hochberg method works!

I have taught the following modules:

• AY 24/25 Sem 1: ST5213 Categorical Data Analysis II
• AY 23/24 Sem 2: ST5229 Deep Learning in Data Analytics
• AY 22/23 Sem 1: ST5213 Categorical Data Analysis II
• AY 21/22 Sem 2: ST5208 Analytics for Quality Control and Productivity Improvements
• AY 21/22 Sem 1: ST4253 Applied Time Series Analysis
• AY 20/21 Sem 2: ST5213 Categorical Data Analysis II
• AY 20/21 Sem 1: DSA4211 High Dimensional Statistical Analysis
• AY 19/20 Sem 2: ST5208 Analytics for Quality Control and Productivity Improvements
• AY 19/20 Sem 1: DSA4211 High Dimensional Statistical Analysis
• AY 18/19 Sem 2: ST5213 Categorical Data Analysis II
• AY 18/19 Sem 1: DSA4211 High Dimensional Statistical Analysis
• AY 17/18 Sem 2: ST5208 Statistics for Quality and Productivity Improvements
• AY 17/18 Sem 1: ST4234 Bayesian Statistics
• AY 16/17 Sem 2: ST5213 Categorical Data Analysis II
• AY 16/17 Sem 1: ST4234 Bayesian Statistics

I have conducted tutorials as a part-time teaching assistant for the following undergraduate courses:

• AY 2009/2010  Sem 1:  ST1131A   Introduction to Statistics
• AY 2010/2011  Sem 1 & 2:  ST1131   Introduction to Statistics
• AY 2011/2012  Sem 1:  ST3233   Time Series Analysis
• AY 2011/2012  Sem 2:  ST1232   Statistics for Life Sciences
• AY 2012/2013  Sem 1:  ST3233   Time Series Analysis
• AY 2012/2013  Sem 2:  BN2102   Bioengineering Data Analysis