Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Arkistoitu opetussuunnitelma 2014–2016
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
SMAT5151 Scheduling Theory 10 op
Organised by
Applied Mathematics
Person in charge
Department of Mathematics and Statistics, Yury Nikulin
Preceding studies
Recommended:

Learning outcomes

The course is about scheduling algorithms. The main goal of this course is to give students acquaintance with classical results as well as most recent achievements in scheduling theory. The attendant goal of the course is to give students experience in applying obtained theoretical knowledge to practical problems.

Contents

The first part of the course gives a short introduction into the subject area, classification of scheduling algorithms and state-of-the-art methods for solving single machine, parallel machine and shop scheduling problems. The second part of the course is devoted to advance scheduling problems discussed in the more recent literature such as scheduling problems with due dates, project scheduling and vehicle routing problems.

Teaching methods

Teaching method Contact Online
Lectures 56 h 0 h
Exercises 26 h 0 h

Not lectured 2014-2016.

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Exercise(s)
  • In English
Written exam
  • In English

Evaluation

Numeric 0-5.

Study materials

P. Brucker, Scheduling Algorithms; M. Pinedo, Scheduling: Theory, Algorithms, and Systems; Handouts

Belongs to following study modules

Matematiikan ja tilastotieteen laitos
2014–2015
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Matematiikan ja tilastotieteen laitos
Opintokokonaisuudet
Tilastotiede