Shabbir AhmedTEACHING ASSISTANT:
Office: Rm 325 Groseclose Bld.
Email: sahmed@isye.gatech.edu
Phone: 4048942320
Fax: 4048942301
Office hours: Wednesdays 2:004:00pm (or by appointment).Note: Visit the class website (http://www.isye.gatech.edu/~sahmed/isye6669) regularly for notices and updates.
ChengHuang "Alexander" HungCLASS MEETINGS:
Email: ehung@isye.isye.gatech.edu
Office: Rm. 304 Groseclose (ISyE Bld)
Office hours: 2:304:00pm TuTh.
W200 Van LeerElec Eng., MWF 1:051:55pm.PREREQUISITES:
Ronald L. Rardin, "Optimization in Operations Research," Prentice Hall, NJ, 1998.GRADING:
Note: This course will also cover some material not in the textbook, and not all material in the book will be covered in the course.
HOMEWORK AND PROJECTS:10% Homework 70% Exams 20% Course Project
Homeworks are meant as individual assignments. Although you are encouraged to consult with your classmates, each student should submit his/her own work. Homework assignments will be based on theoretical concepts covered in class as well as small computational exercises. You are encouraged to start on these assignments as early as possible so as to be able to complete them by the due date. Late homework submissions will not be accepted, unless due to serious unavoidable circumstances.EXAMS:The course project will be due at the end of the semester. The projects will require you develop, analyze and implement an optimization model from a real life application, and develop data processing routines, optimization algorithms, as well as solution validation routines. Projects are intended for groups of up to four students. Further details will be provided within the first few weeks of class. You are encouraged to start early to be able to do a good job on the project.
There will be two inclass midterm exams, plus a cumulative final exam. The exact dates of the midterms will depend on the pace of the course, and will be announced later. The final exam will be given according to the Georgia Tech finalsweek schedule. Exams may contain a takehome component.ACADEMIC HONOR CODE:
All course participants (myself, teaching assistants, and students) are expected and required to abide by the letter and the spirit of the Georgia Tech honor code. If there is any way in which I can help you in complying with the honor code, please do not hesitate to ask.TENTATIVE COURSE TOPICS:



Introduction  Modeling real life applications (*), types of optimization models (*) etc.  1.11.4; 2.12.5 
Optimization fundamentals  Properties of sets and functions, convexity, welldefined problems.  
Unconstrained optimization  Classical calculus based optimization (*), Golden section, Newton's method etc.  13.113.8 
Linear Programming  Modeling (*), geometry (*), the Simplex method (*), duality and sensitivity, interior point methods, largescale LP algorithms.  4.14.6; 5.15.3; 5.8; 7.17.7 
Constrained Nonlinear Programming  Models, KKT optimality conditions.  14.114.4 
Quadratic Programming  Models, algorithms, SQP methods  14.2 
Integer Programming  Modeling (*), LP relaxation, Branch & bound (*), cutting planes, heuristics  11.111.7; 12.112.8 
Network Flows  Terminology (*), total unimodularity, shortest path problems, mincost flow problems  10.1,10.410.6, 9.1,9.5. 
Note: The above is only a tentative list. There may be additions and/or deletions to the course content based upon the pace of the class.