I will be teaching STAT 260 this Fall 2024 and STAT 453/558 in Spring 2025. Below are some short descriptions of the courses I have taught since 2020.
STAT 453/558: The Design and Analysis of Experiments
Semester: Spring
Teaching in: 2024, 2023, 2022, 2021, 2020
An introduction to the principles of experimental design and the techniques of analysis of variance. A discussion of experimental error, randomization, replication, and local control. Analysis of variance is developed for single factor and multifactor experiments. The use of concomitant observations. Multiple comparisons and orthogonal contrasts.
Textbook: Design and Analysis of Experiments, 10th Edition, by D.C. Montgomery.
For more information and prerequisites see here.
STAT 260 - Introduction to Probability and Statistics IÂ
Semester: Spring and Fall
Teaching in: 2024
Descriptive statistics; elementary probability theory; random variables, discrete and continuous probability distributions, expectation, joint, marginal and conditional distributions; linear functions of random variables; random sampling and sampling distributions; point and interval estimation; classical hypothesis testing and significance testing. The mathematical foundations of statistical inference are introduced and illustrated with examples from a variety of disciplines.Â
Textbook: (i) Essentials of Probability & Statistics for Engineers & Scientists by Walpole, Myers, Myers & Ye, 2011; (ii) Introduction to Probability and Statistics by Tim Swartz.Â
For more information and prerequisites see here.
STAT 460/560: Bayesian Statistics
Semester: Fall
Offered in: 2020
Bayesian modelling, prior distributions; Jeffreys prior, posterior distributions, single and multi-parameter models; Bayesian point and interval estimation; Bayes factors and point null hypothesis testing; Bayesian computation; decision theory. Other topics may include: hierarchical modeling, Bayesian model selection.
Textbook: Bayesian Data Analysis, Third edition. Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin.
For more information and prerequisites see here.
STAT 252: Statistics for Business
Semester: Spring
Offered in: 2020, 2021, 2022
Descriptive statistics, probability distributions, random sampling and sampling distributions, point and interval estimation, hypothesis testing, statistical inference for comparing samples from two populations, analysis of variance, correlation analysis, simple and multiple linear regression, chi-square test, goodness of fit test, contingency table test, time series analysis. Examples are taken from business applications. Students are expected to analyze data using computer software.
Textbook: Statistics for Management and Economics by G. Keller, 11th or 10th edition, or Business StatisticsÂ
For more information and prerequisites see here.