Course Schedule - Spring Semester 2016

     

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 552 001 (CRN: 20492)

APPLIED STOCHASTIC PROCESSES

Long Title: APPLIED STOCHASTIC PROCESSES
Department: Statistics
Instructor: Kimmel, Marek
Meeting: 9:25AM - 10:40AM TR (11-JAN-2016 - 22-APR-2016) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Prerequisites: STAT 518
Section Max Enrollment: 39
Section Enrolled: 6
Enrollment data as of: 24-APR-2024 11:09AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
30-APR-2016  
9:00AM - 12:00PM S
 
Description: This course covers the theory of some of the most frequently used stochastic processes in application; discrete and continuous time, Markov chains, Poisson and renewal processes, and Brownian motion.