General Information
| Course Code | E_EOR2_OR1 |
|---|---|
| Credits | 6 EC |
| Period | P1+2 |
| Course Level | 200 |
| Language of Tuition | English |
| Faculty | School of Business and Economics |
| Course Coordinator | dr. M.A. Estevez Fernandez |
| Examiner | dr. M.A. Estevez Fernandez |
| Teaching Staff |
prof. dr. L. Stougie prof. dr. L. Stougie dr. M.A. Estevez Fernandez C.P.C. Franssen |
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Part of programme(s)
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Practical Information
You need to register for this course yourself. The (de)registration deadlines can be found on VU.nl
| Teaching Methods | Study Group, Lecture |
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Target audiences
This course is also available as:
Course Objective
An introduction into optimization, and in particular deterministicoptimization. One aim is to learn how to model a practical optimization
problem into the appropriate mathematical formulation. The other is to
learn the theory and application of solution methods for general classes
of optimization problems.
Course Content
This is an introductory course in deterministic optimization. Theoptimization models studied are unconstrained non-linear optimization,
constrained non-linear optimization, convex optimization, linear
optimization and integer linear optimization. Solution techniques for
these classes of optimization problems are the central theme of this
course. Another important element of the course is the mathematical
formulation of (practical) verbally described problems as instances of
the optimization models, and application of the solution methods to
solve the resulting problems.
Additional Information Teaching Methods
Lectures: 2 hours per week. Tutorials: 2 hours per two weeksMethod of Assessment
Separate exams for the first half (period 1) and second half (period 2)of the course are held at the end of each period. The overall grade is
the average of these two partial exams. There is a minimum grade
requirement in the first partial exam to have access to the second
partial exam.
Individual assignments, such as short quizzes or written feedback on
aspects of the course - will be assigned as the course progresses.
Failure to participate will result in a penalty to the overall grade.
A re-sit combines the two parts into one exam.
Literature
H.A. Taha: Operations Research: An Introduction, International Edition,9th or 10th Ed., Pearson.
Additional Information Target Audience
2nd-year students Econometrics and Operations Research, AppliedMathematics students
Additional Information
The course is suitable to be taken in an exchange progam for studentswho have successfully completed courses in Linear Algebra and Analysis.