MWF 2:00~2:50, Whitt Hall
124
|
Instructor: Dr. Hwajung Lee, 220 Email: hlee3@radford.edu Phone:
540-831-6054 Office
Hours: MWF 3– 4PM; Thr 11:30AM-1:30PM; and by
appointment |
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