Course Schedule - Spring Semester 2022

     

CAAM 382 001 (CRN: 22994)

STOCHASTIC MODELS

Long Title: STOCHASTIC MODELS
Department: Computational & Applied Math
Instructor: Pang, Guodong
Meeting: 9:25AM - 10:40AM TR RZR 119 (10-JAN-2022 - 22-APR-2022) 
Session: 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 Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: MATH 102 OR MATH 106
Section Max Enrollment: 48
Section Enrolled: 32
Enrollment data as of: 26-JUN-2022 6:06AM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
Final Exam Time:
2-MAY-2022  
2:00PM - 5:00PM M DCH 1070
 
Description: Fundamentals of stochastic modeling. Topics include discrete & continuous time Markov models, Poisson processes, renewal theory, queueing systems, reliability, Markov decision processes, optimal design and control. Recommended Prerequisite(s): (STAT 280 or 305 or 310 or 315) and MATH 212 and (CAAM 210 or COMP 140) and (CAAM 335 or MATH 355)