105.618 Optimization practice
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, VU, 3.0h, 4.0EC

TUWEL course

Properties

Semester hours: 3.0
Credits: 4.0
Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to

discuss and apply basic contents of mathematical programming
computer-assisted modeling and analysis of decision problems (partly exact, partly heuristic)
Computer-aided planning and optimization of business processes
outline complexity of mathematical programming and assess the usefulness of heuristic optimization methods

Subject of course

Modelling languages (e.g. General Algebraic Modelling System GAMS), optimization solvers, mathamatical optimization algoriithms, complexity, meta-heuristics, stochastic optimization.

Teaching methods

Students achieve the learning outcomes:

through active participation in the lecture parts
by working through / self-study of the presentation slides, documents and sample coding,
by partly under guidance and partly independent modeling and implementation of training projects and
by discussing the results with colleagues.

It is expected that students bring computers (operating system Windows, Mac OS, Linux) into the laboratory exercises. Software (GAMS, possibly MS Excel) is provided cheaply via student software (TU Wien Studentensoftware).

Mode of examination

Immanent

Additional information

First meeting at Tue Oct 8, 2019, 8:30 a.m. Sem.R. DB gelb 04

Lecturers

Haunschmied, Josef Leopold

Institute

E105 Institute of Statistics and Mathematical Methods in Economics

Course dates

Day	Time	Date	Location	Description
Tue	08:00 - 10:00	01.10.2019 - 21.01.2020	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	08:00 - 12:00	01.10.2019 - 28.01.2020	Sem.R. DB gelb 04	Praxis der Optimierung Übung

Show single appointments

Optimization practice - Single appointments

Day	Date	Time	Location	Description
Tue	01.10.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	01.10.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	08.10.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	08.10.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	15.10.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	15.10.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	22.10.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	22.10.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	29.10.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	29.10.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	05.11.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	05.11.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	12.11.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	12.11.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	19.11.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	19.11.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	26.11.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	26.11.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung
Tue	03.12.2019	08:00 - 10:00	FH Hörsaal 3 - MATH	Praxis der Optimierung - VO
Tue	03.12.2019	08:00 - 12:00	Sem.R. DB gelb 04	Praxis der Optimierung Übung

Examination modalities

The students realize explanatory, illustrative and in-depth examples partly under guidance and partly independently; the preparation of the examples together with tests on the basic contents of the VU forms the basis of the assessment.

Course registration

Begin	End	Deregistration end
02.09.2019 15:00	29.10.2019 22:59

Registration modalities

Curricula

Study Code	Obligation	Semester	Precon.	Info
033 203 Statistics and Mathematics in Economics	Mandatory elective

Literature

Urmila Diwekar, Introduction to Applied Optimization, Second Edition, Springer ISBN 978-0-387-76635-5

Go to Course Materials

Preceding courses

Miscellaneous

Attendance Required!

Language

German