Course Schedule and Catalog
Course Schedule - Spring Semester 2027
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.
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.
BUSI 574 001 (CRN: 26694)
STOCHASTIC PROCESSES OPS MGMT
Long Title: STOCHASTIC PROCESSES IN OPERATIONS MANAGEMENT
Department: Business
Instructor: Tezcan, Tolga
Meeting: 3:30PM - 6:30PM T (11-JAN-2027 - 23-APR-2027)
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:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Program(s):
Doctor of Philosophy Business
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 10
Section Enrolled: 0
Enrollment data as of: 2-NOV-2026 1:32AM
Final Exam: GR Course-Dept Schedules Exam
Description: This PhD course provides a rigorous introduction to stochastic processes with emphasis on models and methods used in operations management and operations research. Topics include discrete- and continuous-time Markov chains, Poisson processes, renewal processes, renewal reward theory,martingales, Brownian motion, and applications to queues, inventory, reliability, and service systems. The course develops both the mathematical foundations and the modeling skills needed to analyze systems that evolve randomly over time, including long-run behavior, hitting times, stationary distributions, limit results, and performance measures. The emphasis is on proof techniques, probabilistic reasoning, and research-oriented applications. Students are expected to have a solid background in probability, calculus, and linear algebra.