Teaching
My teaching philosophy (Copyright 2005)
G6103 Statistical Modeling/Data Analysis III (Fall 2006)
(Class website is in Courseworks)W8325 Topics in Advanced Statistics (Under development, Fall 2005)
Modern Statistical Learning and Computing, with applications to biologyW1111 Introduction to Statistics (courseworks)
Prerequisites: Mathematics at high school level.
Course Description: As an intro-level statistics course, W1111 is designed for students in fields that emphasize quantitative methods. Probability concepts and the theory of sampling distributions are used as aids to quantitative reasoning and data analysis, along with illustrations drawn from the natural and social sciences. Topics include problems involving data quality and causal inference, graphical and numerical data summaries, statistical modeling of relations between variables, and the use of computers to manage data, evaluate models, and estimate parameters.
W4315 Linear Regression Models (Latest syllabus, Fall 2004)
Prerequisite: probability and statistics at the level of W4150 or (both W4105 and W4107) taken concurrently; linear algebra; calculus.
Course information: Theory and practice of regression analysis: simple and multiple regression including testing, estimation and confidence procedures; modeling; regression diagnostics and plots; model selection; and non-parametric regression. Software implementation of the computations is also emphasized.
Special lecture on Statistical Genetics (some reference papers)
Statistics Projected (under development: web-based guide on conducting data project for intro-level statistics)