Universität Wien FIND

Return to Vienna for the summer semester of 2022. We are planning to hold courses mainly on site to enable the personal exchange between you, your teachers and fellow students. We have labelled digital and mixed courses in u:find accordingly.

Due to COVID-19, there might be changes at short notice (e.g. individual classes in a digital format). Obtain information about the current status on u:find and check your e-mails regularly.

Please read the information on https://studieren.univie.ac.at/en/info.

040767 UK Decision Support (UK) (2020W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Summary

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Registration information is available for each group.

Groups

Group 1

max. 35 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 07.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 14.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 21.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 28.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 04.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 11.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 18.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 25.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 02.12. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 09.12. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 16.12. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 13.01. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 20.01. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock

Group 2

max. 32 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 07.10. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 14.10. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 21.10. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 28.10. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 04.11. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 11.11. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 18.11. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 25.11. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 02.12. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 09.12. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 16.12. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 13.01. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 20.01. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 27.01. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

This lecture provides an overview on formal methods for decision support. Basic methods and techniques from mathematical optimization will be discussed in detail:
- linear programming
- integer linear programming
- non-linear optimization

Assessment and permitted materials

- written tests (midterm, endterm)
- optional project
- optional exercises prepared at home and presented by students in class

Minimum requirements and assessment criteria

- attendance is only required in the first lecture
- points are collected in tests (40+40), for the project (20), and the presentation of exercises (10)
- the grade is determined by the total number of points:
89 - : 1
76 - 88: 2
63 - 75: 3
50 - 62: 4
0 - 49: 5

Examination topics

- lecture slides
- solutions to the exercises

Reading list

Alle relevanten Inhalte werden in Moodle zur Verfügung gestellt:
- Vorlesungsfolien (mit Verweisen auf weitere Literatur)
- Angaben zu den Übungsbeispielen

Association in the course directory

Last modified: Mo 02.11.2020 11:08