Course Schedule - Fall Semester 2004

     

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 331 001 (CRN: 20767)

APPLIED PROBABILITY

Long Title:
Department: Statistics
Instructor: Riedi, Rudolf H.
Meeting: 9:25AM - 10:40AM TR (23-AUG-2004 - 15-DEC-2004) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
 
Section Max Enrollment: 500
Section Enrolled: 14
Total Cross-list Max Enrollment: 500
Total Cross-list Enrolled: 48
Enrollment data as of: 15-MAY-2024 9:20PM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: APPLIED PROBABILITY ***** Elementary probability theory, conditional probability, independence, discrete and continuous random variables, expectation, standard discrete and continuous distributions, transform techniques, central limit theorems, estimation, and correlation. Selected topics such as the Poisson process, Markov chains, and statistical techniques. Illustrations from engineering. ***** Also offered as ELEC 331. ***** Prerequisite(s): MATH 212. Cross-list: ELEC 331.