Optimization
Master
In Bergen (Norway)
Description
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Type
Master
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Location
Bergen (Norway)
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Duration
2 Years
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Start date
Different dates available
Companies in Bergen and the rest of Norway optimize: Manufacturers maximize their profit and minimize the costs of their production processes. Transporters seek to find the fastest driving routes. Investors try to compose portfolios with low risks and high expected returns. Ship brokers engage underwriters to create insurances with a smallest possible premium.
Only good optimizers can optimize well, and only well-designed computer algorithms can do the heavy calculations required in challenging optimization processes. In the master's programme in optimization at Department of Informatics, you will learn how to write and implement such algorithms, and learn how to apply them in practice, so that you will become one of the experts who undertake important real-world optimization tasks.
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Subjects
- Algorithms
- Knowledge
- Competence
- Learning
- Logistics
- Transportation
- Mathematical
- Problems
- Methodologies
- Optimization
- Implement
Course programme
- A candidate who has completed his or her qualifications should have the following learning outcomes defined in terms of knowledge, skills and general competence:
The candidate
- can apply theory and methods of optimization to model and solve real-life problems, within areas such as:
- Supply chain, logistics and transportation,
- mathematical finance, and
- engineering.
- can explain methodologies and algorithms in optimization and knows how to implement them.
- has a broad knowledge of the main concepts in optimization.
The candidate
- can formulate practical problems from industry as optimization problems.
- is able to plan, design and develop an independent research project in optimization.
- can suggest or develop suitable techniques for solving optimization problems.
- can analyze optimization problems and algorithms.
- can develop and implement suitable techniques for solutions on a computer.
The candidate
- has a sound theoretical and computational basis for further studies in theory, methodologies and software in optimization.
- is able to work independently and in groups with others.
- has a critical and analytical view of his/her own work and that of others.
- can demonstrate an understanding of and respect for scientific values about openness, precision, reliability and the importance of differentiating between knowledge and opinions.
Optimization