IEOR Elective Course for Masters Students and Undergraduates (Counts as Technical Elective

Co-taught by Dr. Galit Yom-Tov and Professor Ward Whitt, primarily by Dr. Yom-Tov. See the main course web page.

Brief Course Description:

Service systems currently make up 60-80% of western economies. Important examples are healthcare systems (hospitals), financial services (banks) and telephone and internet services. The course will provide a framework for modeling service systems and techniques that are useful to design, analyze, and operate service systems. In this course, a service system is viewed as a stochastic network. Thus the main theoretical framework is queueing theory, which primarily involves a large class of stochastic models. However, the subject matter is highly multi-disciplinary; hence alternative frameworks are useful as well, including ones from Statistics, Psychology, and Marketing.

Syllabus

Logistics

• Time and Place: Mondays and Wednesdays, 11:00am-12:15pm, Room: 317 Mudd. (Room may change.) Call Number 17402

• One (important) Recitation Section: Mondays, 5:30-6:30pm, Room 227 Mudd, Call number 26851

  • (TA's go over tools required in assignments.)

• Prerequisite: a first course in probability, such as IEOR 3600, IEOR 3658, STAT 4105 or SIEO 4150, and an introduction to stochastic processes, such as IEOR 3106 or IEOR 4106

Contact Information

• Communicate with Dr. Yom-Tov, Office: 318 S. Mudd Building: [email protected] or 854-2987

• Communicate with Professor Whitt, Office: 801D Schapiro (CEPSR): [email protected] or 854-7255

• Teaching Assistants:

  • TA: Song-Hee (Hailey) Kim, 325 Mudd, email: [email protected]. Song-Hee will be holding office hours in her office, Room 325 Mudd on Fridays at 11:00am-12:00noon. Song-Hee is also available by appointment.

  • TA: Andrew Li, 325 Mudd, email: [email protected]. Andrew is also available by appointment.