Course Schedule - Spring Semester 2023

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

STAT 385 003 (CRN: 24772)

METHODS FOR DATA ANALYSIS

Long Title: METHODS OF DATA ANALYSIS AND SYSTEM OPTIMIZATION
Department: Statistics
Instructor: Peterson, Leif
Meetings:
2:30PM - 3:45PM TR (9-JAN-2023 - 21-APR-2023) 
6:30PM - 7:45PM M (9-JAN-2023 - 21-APR-2023) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Distribution Group: Distribution Group III
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: STAT 180 OR STAT 280 OR STAT 305 OR STAT 310 OR ECON 307 OR STAT 312 OR STAT 315 OR DSCI 301
Section Max Enrollment: 15
Section Enrolled: 7
Enrollment data as of: 26-DEC-2024 3:55AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-Dept Room
Final Exam Time:
1-MAY-2023  
2:00PM - 5:00PM M
 
Description: The three general areas covered in this methodology oriented course are (a) statistical methods, including regression, sampling, and experimental design; (b) simulation based methods in statistics, queuing and inventory problems; (c) an introduction to optimization methods. Excel serves as the basic computing software.