E102 Introduction to Operations Research
Fall 2001

 
 





Prerequisite: Math 1B (not open to students majoring in IEOR)

Instructor
Alper Atamturk
email: atamturk@ieor.berkeley.edu
phone: 642-4559
web page: http://ieor.berkeley.edu/~e102
Lecture Hrs: Mon. Wed. 1-2 PM (3113 Etcheverry).
Office Hrs: Mon. 2-3:30 PM (4175 Etcheverry).

Teaching Assistant
Simge Kucukyavuz
email: simge@ieor.berkeley.edu
Discussion Hrs: Fri. 2-3 PM (3113 Etcheverry).
Office Hrs: Thu. 2-3 PM (1116 Etcheverry).

Required Text
D. Bertsimas and R. M. Freund, Data, Models, and Decisions: The Fundamentals of Management Science, South-Western College Publishing(2000). ISBN 0-538-85906-7.


Course description
Operations Research (OR) refers to the science of decision making. This course provides a survey of fundamental methods of Operations Research and their applications at an introductory level. The emphasis is on applications rather than the details of methodology. By the end of the course, students will be exposed to a wide variety of applications and problems that can be addressed using Operations Research techniques.
 

Organization
Students will be assigned analytical as well as empirical homework problems, some of which will require the use of computers. All problem sets are due at the beginning of class on the due date. Familiarity with spreadsheet computations is assumed. There will be two midterm exams and a final exam, all closed book, closed notes. Unless you provide a medical report, makeup exams will not be available. If you miss a midterm exam, your final exam grade will be prorated. You can use calculators during the exams, but programmed calculations are considered cheating. Suspected violations of the Code of Student Conduct will be reported to the Office of Student Conduct.


Grading

Outline

  1.  Decision Analysis
  2.  Fundamentals of Discrete Probability
  3.  Continuous Probability Distributions and Their Applications
  4.  Statistical Sampling
  5.  Simulation Modeling: Concepts and Practice
  6.  Regression Models: Concepts and Practice
  7.  Linear Optimization
  8.  Nonlinear Optimization
  9.  Discrete Optimization


Students interested in learning more about any one of the subjects above may also enroll in the following IEOR courses that treat the topics listed in brackets in detail.


Homeworks