Design and Analysis of Experiments (351-0-20)
Instructors
Arvind Krishna
Meeting Info
2122 Sheridan Rd Classroom 250: Tues, Thurs 2:00PM - 3:20PM
Overview of class
The course will be a combination of the traditional physical experimental design and the more recently developed computer experimental designs. It will connect the design theory to application.
Registration Requirements
Basic probability and statistics courses (e.g., Stat 320-2)
Learning Objectives
By the end of the class students are expected to (1) formulate statistical questions for a real life problem; (2) plan and design an appropriate experiment to test the hypothesis, (3) choose the appropriate statistical methods for data analysis and justify the choice; (4) perform data analysis using R programming; (5) describe and present the data analysis results.
Teaching Method
Lecture & Q&A during class. There will be a 5-10 minute quiz at the beginning of every lecture. Students can't be late to the class, or will lose the quiz time.
Evaluation Method
Homework will be assigned weekly or biweekly (about 7 assignments), one midterm exam, one final exam, a course project, and in-class quizzes.
Class Materials (Required)
The Design and Analysis of Computer Experiments (Springer Series in Statistics), 2nd ed. 2018 Edition, by Thomas J. Santner, Brian J. Williams, and William I. Notz, ISBN-13: 978-1493988457
Design and Analysis of Experiments by Montgomery (8th Edition, 2013), ISBN-13: 978-1118146927.
Class Materials (Suggested)
Experiments: Planning, Analysis, and Optimization 2nd Edition, by C.F. Jeff Wu
Lecture notes and R codes will be posted on canvas.
Class Notes
Computing: Statistical Software, R will be used to demonstrate the methodologies. Template R code will be posted on the course web page.
Class Attributes
Formal Studies Distro Area