Email to your instructor : myonghi@math.sunysb.edu
Email to your instructor : myonghi@math.sunysb.edu
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Syllabus
SUNY College at Old Westbury
MA4910, Fall 2000
Operations Research,
Classroom Hours: MW 4:20 - 6:00
Instructor: Dr. Myong-Hi Kim
Textbook: Introduction to Operations Research, 7th Edition, by Fredrick Hiller and Gerald Liebermann, McGraw-Hill, Inc.
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Office Hours |
Office |
Tel. |
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Web page |
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MW 1-2:30 MW 6-7 |
B 342 |
876-3131 |
KimM@oldwestbury.edu |
http://www.math.sunysb.edu/~myonghi/OW |
Course Objective:
Students will be introduced to some of the theory and many of the methods of that area of mathematical science now referred to as operations research. They will be exposed to its various aspects of mathematical modeling, optimization, algorithms and economical systems. Applications to such diverse areas as production planning, optimal land use, nutrition management, transportation management and human resource management will be stressed. Students will be required to master technique of modeling, and the theory and method of linear programming problems.
Evaluation:
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2 Midterm Exams |
15 % each |
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1 Project |
15 % |
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1 Cumulative Final Exam |
40 % |
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Quizzes, Homework, Class Participation, Attendance |
15 % |
Attendance: A record of attendance will be kept. If you miss a class it is your responsibility to find out what material were covered in class, what the homework was and if any announcements have been made about the schedule of upcoming exams and quizzes.
Policy on NO makeup-exams: There will be no makeup exams. However, if you miss a midterm exam due to serious illness (documented) or serious family emergency (documented) then your score from the final tests will replace the portion of the missing midterm exam.
Course Outline:
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Week |
Topics |
Homework |
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1 - 3 |
Introduction to origins and nature of Operations Research, Review of Calculus and Linear Algebra |
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4 - 5 |
The graphical Solution to a Linear Programming Problem; Simplex Method; Applications |
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6 |
The big - M method |
Test I |
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7 - 8 |
Duality Theory, Sensitivity Analysis. |
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9-10 |
Transportation Problem |
Project |
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11 |
Introduction to Network Analysis Models |
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12 |
Interior Method |
Test II |
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13-14 |
Dynamic Programming |
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Review |
Cumulative Final |