Teacher: Mikko Harju
Why this course?
It is hardly ever the case that complex decisions are make with respect to a single point of view. Instead, it is more sensible (and modern) to consider that decisions can be modeled with respect to a multitude of attributes and criteria.
This course is about modelling and solving optimization problem which can account for multiple criteria. The contents of the course include: One- and multi-objective decision making, utility function, Pareto-optimality, theory of vector maximization, goal programming, interactive algorithms. Applications.
Teaching: No direct teaching, only independent study (about 75h)
Assessment methods: Home assignments (100%)
Grading scale: 0-5
Study material: K.M. Miettinen: Nonlinear Multiobjective Optimization, Kluwer 1999
Language of instruction: English
Prerequisites: MS-C2105 Introduction to Optimization, MS-E2139 Nonlinear Programming, or MS-E2140 Linear Programming
Further information: The course gives 3 credits and the student has 6 months of time to complete the assignments. The total amount of points scored by the student will be converted into the final grade according to the following rule:
This is an individual course, meaning that the students should not collaborate but work independently on the solutions.
There is no need to register in oodi. Interested students should contact the responsible teacher directly.
Although the assignments are written, upon their completion, the teacher might demand an oral exam/discussion of the solutions to the assignments.