LECTURE: MWF 9:00-9:50 a.m., Hutch 115. DISCUSSION: R 9:00-9:50 a.m. Hutch 115. INSTRUCTOR: Prof.
Jiming Jiang, 4228 MSB, (530) 754-8589, jiang@wald.ucdavis.edu;
Office hours: W 1-3 p.m. TEACHING ASSISTANT: Ms. Thuan Nguyen, 1226 MSB, tnguyen@wald.ucdavis.edu;
Office hours: TBA TEXT: Applied Linear Statistical Models
by Kutner et al. (5th ed.), ISBN: 0-07-238688-6. REQUIREMENTS:
HOMEWORK: Homework will be assigned in class and collected
each Thursday in the discussion section. The graded homework will
also be given back during the discussion session. The lowest two homework
grades will be dropped in calculating the overall homework score.
No late homework.
PROJECT: There will be two projects involving computer data
analysis. The projects will be assigned on the course website. Each
project is due in two weeks. Although we recommend that you use SAS
to complete the projects, use of other softwares (e.g., Minitab, SPSS,
Splus) is also allowed. The TA will provide instructions
for SAS during her discussion sessions.
MIDTERM: There will be an in-class midterm exam. Exam date:
TBA (during the lecture).
FINAL: There will be an in-class final exam.
GRADES:
FINAL 40%, MIDTERM 20%, PROJECT 20% (10% each),
HOMEWORK 20%.
(Grade Disputes will not be considered until the end of the
quarter. Write a cover note including the total number of points in
questions and your rationale. If the total points in question will
change your letter grade (including +/-), your rationale will be
considered.)
TOPIC:
Introduction to Experimental and Observational Studies