Optimization
4.5 ECTS creditsInstruction is in the form of lectures and exercise sessions.
Content: The optimization process, model formulation, convexity theory, LP-problems (linear programming problems), two phase simplex algorithm, sensitivity analysis, duality theory, dual simplex algorithm, integer programming, network problems.
Content: The optimization process, model formulation, convexity theory, LP-problems (linear programming problems), two phase simplex algorithm, sensitivity analysis, duality theory, dual simplex algorithm, integer programming, network problems.
Progressive specialisation:
G1F (has less than 60 credits in first‐cycle course/s as entry requirements)
Education level:
Undergraduate level
Admission requirements:
Foundation Course in Mathematics, 7.5 ECTS cr, Calculus in one Variable, 7.5 ECTS cr, Calculus in several Variables, 7.5 ECTS cr, Linear Algebra and Vector Calculus, 7.5 ECTS cr, or equivalent.
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Master of Science in Industrial Engineering and Management (studied during year 3)