195.073 Automated Scheduling and Timetabling
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2014S, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Aim of course

Introduce optimization problems in the domain of scheduling and timetabling, and available search techniques, and their implementation.

 

Subject of course

Lectures:

  • Scheduling and timetabling problems
  • Solution methods
  • Implementation of the solution methods
  • Demonstration of industrial projects

Project:

  • Students will implement a metaheuristic method for a problem

Additional information

This is a visiting professor course of Vienna PhD School of informatics in the area of Computational Intelligence. 

Lecturer: Prof. Andrea Schaerf, DIEGM, University of Udine, Italy.

ECTS Breakdown:

  • Lectures: 24h
  • Study and preparation for project: 50h
  • Exam: 1h (discussion of the project)

Lecturers

  • Veith, Helmut
  • Schaerf, Andrea

Institute

Course dates

DayTimeDateLocationDescription
Mon10:00 - 12:0005.05.2014FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lecture
Mon13:30 - 17:0005.05.2014Seminarraum FAV 01 B (Seminarraum 187/2) Lecture
Tue13:30 - 16:3006.05.2014 Besprechungsraum Menger (Favoritenstr.9, 3.Stock)Lecture
Wed10:00 - 12:0007.05.2014Seminarraum FAV 01 B (Seminarraum 187/2) Lecture
Wed13:30 - 17:0007.05.2014Seminarraum FAV EG C (Seminarraum Gödel) Lecture
Thu13:30 - 18:3008.05.2014Seminarraum FAV EG B (Seminarraum von Neumann) Lecture
Fri10:00 - 12:0009.05.2014FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lecture
Fri13:30 - 16:3009.05.2014FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lecture

Examination modalities

Project with final discussion.

Assessment:

  • Quality of the project (70%)
  • Discussion of the project (30%)

Course registration

Begin End Deregistration end
01.03.2014 00:00 31.05.2014 00:00 15.06.2014 00:00

Registration modalities

Registration takes place in TISS

Curricula

Study CodeObligationSemesterPrecon.Info
PhD Vienna PhD School of Informatics Not specified

Literature

No lecture notes are available.

Language

English