Spring 2019 - MATH 208W D100
Introduction to Operations Research (3)
Class Number: 4207
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 3 – Apr 8, 2019: Wed, 11:30 a.m.–12:20 p.m.
BurnabyJan 3 – Apr 8, 2019: Fri, 10:30 a.m.–12:20 p.m.
Burnaby -
Exam Times + Location:
Apr 12, 2019
Fri, 3:30–6:30 p.m.
Burnaby
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Instructor:
Tamon Stephen
tstephen@sfu.ca
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Prerequisites:
MATH 150 or 151 or 154 or 157.
Description
CALENDAR DESCRIPTION:
Introduction to methods of operations research: linear and nonlinear programming, simulation, and heuristic methods. Applications to transportation, assignment, scheduling, and game theory. Exposure to mathematical models of industry and technology. Emphasis on computation for analysis and simulation. Students with credit for MATH 208 may not take this course for further credit. Writing/Quantitative.
COURSE DETAILS:
Modelling problems with many variables as linear programs.
Using spreadsheet applications to solve these models. Network flow models.
Sensitivity analysis. Integer and non-linear models.
Applications may include resource allocation, shipping and financial planning.
Modelling problems using discrete-event simulations.
Random numbers and distributions. Queueing theory.
Students will learn mathematical typesetting using LaTeX, and spreadsheets using Excel.
A feature of the course will be a team project, in which students analyze a substantial mathematical problem and present their results in writing and in a formal presentation.
Grading
- Homework Assignments (5) (7% each) 35%
- Essay 5%
- Midterm 15%
- Term Project (presentation & report) 20%
- Final Exam 25%
NOTES:
Materials
REQUIRED READING:
Optimization Modeling with Spreadsheets, 3rd Edition
Kenneth R. Baker
ISBN: 978-1-118-93773-0
Registrar Notes:
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS