Optimization and System Analysis, 6 credits (TNK047)

Optimering och systemanalys, 6 hp

Main field of study

Mathematics Applied Mathematics

Level

First cycle

Course type

Programme course

Examiner

Joakim Ekström

Director of studies or equivalent

Erik Bergfeldt
Course offered for Semester Period Timetable module Language Campus VOF
6CKTS Communication and Transportation Engineering, M Sc in Engineering 5 (Autumn 2017) 1, 2 4, 4 Swedish Norrköping o

Main field of study

Mathematics, Applied Mathematics

Course level

First cycle

Advancement level

G2X

Course offered for

  • Communication and Transportation Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Linear algebra, Optimization,Statistics and probability.

Intended learning outcomes

The course aims at further insight in modelling and optimization of decision problems. Models for decision analysis is analyzed, including models and methods for optimization problems with discrete variables and for problems from game theory. The students can, after the completion of the course, formulate basic models in decision analysis - solve and analyze the formulated models - apply the analysis to practical problems.

Course content

The contents of the course cover mathematical modelling and solution methods. Great weight is given to modelling of problems in decision analysis. Some weight is given to solution techniques for discrete optimization problems. The discussed model types include discrete optimization, and game models. Solution algorithms for these problem types are developed based on the methods and algorithms in the basic optimization course.

Teaching and working methods

Lectures, exercises and laboratory work.

Examination

TEN1Written examinationU, 3, 4, 53 credits
LAB1Laboratory workU, G3 credits

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Erik Bergfeldt

Examiner

Joakim Ekström

Education components

Preliminär schemalagd tid: 48 h
Rekommenderad självstudietid: 112 h

Course literature

Kompletterande litteratur

Böcker
H.A. Eiselt och C.-L.Sandblom, Springer, Decision Analysis, Location Models, and Sceduling Problems
ISBN: 3-540-40338-8Black, Ken, (1994) Business statistics : contemporary decision making
ISBN: 0314027882
Minneapolis/Saint Paul : West, 1994Lundgren, Jan, Rönnqvist, Mikael, Värbrand, Peter, (2008) Optimeringslära
ISBN: 9789144053141
Lund : Studentlitteratur, 2008

Additional literature

Books

H.A. Eiselt och C.-L.Sandblom, Springer, Decision Analysis, Location Models, and Sceduling Problems

ISBN: 3-540-40338-8

Black, Ken, (1994) Business statistics : contemporary decision making

ISBN: 0314027882

Minneapolis/Saint Paul : West, 1994

Lundgren, Jan, Rönnqvist, Mikael, Värbrand, Peter, (2008) Optimeringslära

ISBN: 9789144053141

Lund : Studentlitteratur, 2008

TEN1 Written examination U, 3, 4, 5 3 credits
LAB1 Laboratory work U, G 3 credits

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

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