Courses for Exchange Students (ECTS) 2018/2019


Optimization

Spring week 04 (2019) - 13 (2019) Appl.code: 51085
Part-time, daytime class

ECTS credits: 7.5

Level of education: First Cycle (undergraduate level)

Level: G2F

Prerequisites: Computational Mathematics I, 9 Credits, Mathematical Modelling and Problem Solving, 6 Credits.

Content: Modeling, linear programming, sensitivity and duality, network flow problems, nonlinear programming, integer programming, Lagrange relaxation, modeling in Matlab and AMPL.

Teaching Methods: The teaching will be in the form of lectures and exercises in computer lab.
The teaching methods may be altered, should only a few students take the course.

Assessment: Home assignments and project

Course Coordinator: Mårten Gulliksson

Course Syllabus: Spring 2019

School: School of Science and Technology