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Modeling and Implementation in OR
Provider: Faculty of Science

Activity no.: 5579-18-07-31 
Enrollment deadline: 29/08/2018
PlaceDepartment of Mathematical Sciences
Universitetsparken 5, 2100 København Ø
Date and time03.09.2018, at: 09:00 - 11.11.2018, at: 16:00
Regular seats50
ECTS credits7.50
Contact personNina Weisse    E-mail address: weisse@math.ku.dk
Enrolment Handling/Course OrganiserGiovanni Pantuso    E-mail address: gp@math.ku.dk
Teaching languageEnglish partially in English
Semester/BlockBlock 1
Scheme groupC
Exam formOral examination, 30 minutes
Exam form30 minutes preparation, 30 minutes oral examination including grade determination
Exam detailsExam registration requirements: The student must hand in one project that must be approved. Aid: Only certain aids allowed. During the preparation time, all written aids allowed. In the examination, some written aids allowed: one page with keywords, main results of project, etc. No external censorship. Two internal examiners.
Exam aidsOnly certain aids allowed
Grading scale7 point grading scale
Course workload
Course workload categoryHours
Lectures14.00
Class Instruction28.00
Exam1.00
Preparation91.00
Project work72.00

Sum206.00


Learning outcome
At the end of the course the student should have:

* gained knowledge of common linear and integer programming problems and how continuous and integer variables can be used to express logical relations;

* acquired skills to:
a) translate the description of real-life optimization problems to suitable mathematical programming problems
b) implement and solve mathematical programming problems using state-of-the-art optimization software such as GAMS and Cplex;

* obtained competences within formulation and discussion of mathematical models for optimization problems, implementation and solution of such problems in an efficient way.

Target group
At the end of the course the student should have:

* gained knowledge of common linear and integer programming problems and how continuous and integer variables can be used to express logical relations;

* acquired skills to:
a) translate the description of real-life optimization problems to suitable mathematical programming problems
b) implement and solve mathematical programming problems using state-of-the-art optimization software such as GAMS and Cplex;

* obtained competences within formulation and discussion of mathematical models for optimization problems, implementation and solution of such problems in an efficient way.

Teaching and learning methods
1 x 2 hours of lectures and 2 x 2 hours of exercises/project per week for 7 weeks. In addition to this, individual project work.

Content
The contents of other operations research courses (such as OR1) cover fundamental and theoretical aspects of mathematical programming. This course puts special emphasis on the modeling, implementation and solution of mathematical programming problems. That is, given a description of an optimization problem, the challenge is how to formulate an appropriate mathematical programming model and how to implement and solve the problem using software such as Cplex, Java, and GAMS.

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