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 Cursus: 201800004
 201800004Operations Research Techniques 2
 Cursus informatie
Cursus201800004
Studiepunten (ECTS)5
CursustypeCursus
VoertaalEngels
Contactpersoondr.ir. M.R.K. Mes
E-mailm.r.k.mes@utwente.nl
Docenten
 Docent dr.ir. A.G. Leeftink Docent dr.ir. M.R.K. Mes Contactpersoon van de cursus dr.ir. M.R.K. Mes Docent dr. J.C.W. van Ommeren
Collegejaar2020
Aanvangsblok
 2B
AanmeldingsprocedureZelf aanmelden via OSIRIS Student
Inschrijven via OSIRISJa
 Cursusdoelen
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } SThe aim of the course is to familiarize students with formulating and solving optimization problems with uncertainty. Students get acquainted with exact solutions methods as well as heuristics.   At the end of the course a student is able to formulate, implement and solve: basic stochastic optimization and learning models, e.g., related to Approximate Dynamic Programming and Optimal Learning; a stochastic programming model for a given problem context; stochastic models for strategic capacity planning and performance analyses.
 Inhoud
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } Many problems from the field of operations management can be modeled and solved as a combinatorial optimization problem. However, in practice, many of such problems involve some stochasticity. Solving such a problem while accounting for the uncertainty is often extremely hard, and an approximate solution might be favored. In this course we deal with problems that involve uncertainty and that arise from real world applications. We focus on how to formulate such problems, and how to solve them using exact and approximation methods and algorithms.   This course is given in Quartile 4, and should be followed after IEM RO (required to master the programming language Delphi) and ORT1 (required to understand deterministic OR techniques, in particular mathematical programming, dynamic programming, and the implementation of (I)LPs in AIMMS). Furthermore, the student should have a basic understanding of stochastic models, e.g., as taught in IEM Module 8 or SMOM.
Voorkennis
 If a student has not taken the IEM RO course before starting this class, the student should contact GrĂ©anne Maan-Leeftink (a.g.maan-leeftink@utwente.nl) before the course starts to check if he or she masters a programming language sufficiently to finish the course successfully.
Voorkennis kan worden opgedaan met
 ORT-1IEM ROIEM TEM M8 or SMOM
 Participating study
 Master Industrial Engineering and Management
Verplicht materiaal
Aanbevolen materiaal
-
Werkvormen
Hoorcollege
 Aanwezigheidsplicht Ja

Practicum
 Aanwezigheidsplicht Ja

Zelfstudie geen begeleiding
 Aanwezigheidsplicht Ja

Toetsen
 Assignments
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