Introduction to Operations Research
An introduction to the field of operations research, where mathematical models are used to aid in decision making. Learn the basis of linear and integer programming for optimal decision making.
A student who has met the objectives of the course will be able to:
- Formulate LP models
- Solve LP models with Simplex
- Apply the fundamental insight and know simplex in the matrix form
- Relate primal and dual problems, and perform sensitivity analysis
- Formulate and solve transportation and assignment problems
- Formulate integer programming models
- Know total unimodular matrices and know their their connection to linear programming
Course/programme description:
Operations research (OR) is about applying mathematical models to help decision makers. The course aims to give a general orientation about OR methods, enabling students to evaluate the possibility of using OR in a given problem setting, and to lay a firm foundation for further studies. Also, the course aims to enable students to use some OR methods on decision problems; optimization of linear models (Linear Programming and integer linear programming) is emphasized. The course yields a useful background for working with mathematical models in most areas of engineering science.
The course ends with a written exam to be held physically at DTU.
Who is the course relevant for?
Anyone interested in getting an introduction to the basic concepts of operations research.
When and where?
This course is delivered on the DTU E-learning platform, and you work individually with the course material at your own pace. At the end of the course, you submit your final case study for evaluation and personal feedback.
Deadline is 09-07-2025.
What is in it for your company?
The course enables the participant to:
Introduce the employees to basic optimization knowledge, which can help with starting a data-driven decision-making process.
Practical information
- Video lectures coupled with online support for exercises
- 3 weeks, of which 2 weeks are for lectures and 1 week is only exam preparation
Admission requirements
- Knowledge of linear algebra