IEOR Technical Elective Course for Undergraduate and Masters Students

• 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

• Lecture notes, recitation notes and homework assignments on COURSEWORKS. First Two Lectures

• Some Initial Reading

• Advanced Survey Reading

• Sample Research Papers by the Instructor

• Lecture Topics, The lecture slides, lecture written notes, recitation notes and homework assignments are on Courseworks.

• Logistics

  • Time and Place: Tuesdays and Thursdays, 4:10pm-5:25pm, Room: 222 Pupin.

  • One (important) Recitation Section: Fridays

    • (TA Ni Ma will introduce tools required for the assignments.)

  • Prerequisites: a first course in probability and statistics, such as IEOR/SIEO 3600 or IEOR/SIEO 4150, and an introduction to stochastic processes, such as IEOR 3106 or IEOR 4106

• Teaching Team

  • Professor Ward Whitt, Office: 801D Schapiro (CEPSR): ww2040@columbia.edu or 854-7255

  • Teaching Assistant Ms. Ni Ma, Office: 345 Mudd: nm2692@columbia.edu

  • Teaching Assistant Mr. Ethan Kochav, emk2168@columbia.edu

  • Teaching Assistant Ms. Ponni Vel, pv2001@columbia.edu