Prereq: Stat 330
or an equivalent course. Programs and systems as objects of empirical studies; exploratory data analysis; analysis of designed experiments - analysis of variance, hypothesis testing, interaction among variables; linear regression, logistic regression, Poisson regression; parameter estimation, prediction, confidence regions, dimension reduction techniques, model diagnostics and sensitivity analysis; simulation techniques and bootstrap methods; applications to performance assessment - comparison of multiple systems; communicating results of empirical studies. Nonmajor graduate credit.
| Lectures: || TR 12:40-2:00 PM, Towne 0290 |
| Instructor: || Karin S. Dorman (firstname.lastname@example.org)|
Science II 534, 4-6078
Snedecor 210C, 4-8392
| Office Hours: || W3-4 or F10-11 in Science II 534 |
| Text: || None; see class wiki |
| Software: || R |
| Grades: || Homework: 30% |
Term Project: 30%
Class Participation: 10%
Please address any special needs or special accomodations with me at the beginning of the semester or as soon as you become aware of your needs. Those seeking accomodations based on disabilities should obtain a Student Academic Accomodation Request (SAAR) form from the Disability Resources (DR) office (515-294-6624). DR is located on the main floor of the Student Services Building, Room 1076.