MWF 2:00~
|
Instructor: Dr. Hwajung Lee, 220 Email: hlee3@radford.edu Phone: 540-831-6054 Office Hours: MWF 4– |
The
best way to contact me is by e-mail. My office hours will be the
best time to see me and I will also be happy to see you during times other than
my office hours if I am there with my office door open.
Required
Texts:
Wayne L. Winston, "Operations
Research: Applications and Algorithms, "
4th Edition, Duxbury Press,
2004.
Reference:
q
Raj
Jain, "The Art of Computer System
Performance Analysis," Wiley, 1991.
q
Michael R. Garey and
Davis S. Johnson, "Computers and
Intractability: A Guide to the Theory of Incompleteness",
1979.
q
Sheldon M. Ross, "Introduction
to Probability Models, " 8th
Edition, Academic Press, 2003.
q
Noga Alon and Joel H. Spencer, "The Probabilistic Method, " 2nd Edition, John Wiley & Sons, 2000.
q
Vijay Vazirani,
"Approximation Algorithms," 2nd Edition, Academic Press, 2004.
Grades:
|
Two in-class tests Homework & Lab Project Term Paper/Presentation |
60%
= 30% each * 2 tests 20% 20% |
|
Total |
100% |
|
Perfect
Attendance and Full Attention in Class (bonus) |
Bonus 3 % of the average of your
earned exam scores |
|
Bonus
quizzes |
Bonus 5 % |
NOTE 1: There will be bonus quizzes in this class.
q
The dates for in class quizzes will not be announced.
q
Quizzes will be graded on a 10 point scale.
q
Missed quizzes cannot be made up.
NOTE 2: If you attend 100% of the classes and give
me your full attention in
class, I will add 3% of the average of your
earned exam scores on top of yours.
NOTE 3: If you absence more than 6 lectures, you will get
an F of this class. Late 3 times in lecture sessions is equivalent to 1 absence. If you
late more than 15 minutes, it will be considered as an absence.
NOTE 4: I will not accept late assignments.
Lab Project:
The
class will be divided into teams of three people. Each team will be assigned to a pod in
the Information technology Networking Lab (Davis 214). You should also submit an evaluation form on your team
members with the lab project.
Etiquette:
Please come to class on-time since class is disturbed by constant late
arrivals. Turn off all cell phones, beepers, PDAs,
etc. Talking or other disruptions in class can result in being asked to leave.
Special
Assistance:
Any student who needs special
accommodations because of a disability should contact the instructor during the
first week of classes to make arrangements. Please do not wait to see if
you will need special accommodations for this class; let me know ASAP so
that it does not become a major problem. It is the responsibility of any
student with a disability who requests a reasonable accommodation to contact
the Disability Resource Office (831-6350). Contact will then be made by that
office through the student to the instructor of this class. The instructor will
then be happy to work with the student so that a reasonable accommodation of
any disability can be made.
Topics will be covered (Tentative)
The class calendar and
related materials will be updated on the WebCT of
this course.
q Common Mistakes in Performance Evaluation and How to
Avoid the Mistakes
q Systematic Approach to Performance Evaluation
q An Introduction to Model-Building
q Review of Basic Linear Algebra
q Introduction to Linear Programming
q The Simplex Algorithm and Goal Programming
q Sensitivity Analysis: An Applied Approach
q Sensitivity Analysis and Duality
q Transportation, Assignment, and Transshipment Problems
q Network Models
q Integer Programming
q Advanced Topics in Linear Programming
q Nonlinear Programming
q Review of Calculus and Probability
q Decision Making under Uncertainty
q Game Theory
q Deterministic EQQ Inventory Models
q Probabilistic Inventory Models
q Markov Chains
q Deterministic Dynamic Programming
q Probabilistic Dynamic Programming
q Queuing Theory
q Simulation
q Simulation with Process Model
q Forecasting Models
q NP-Completeness