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.

040259 KU Advanced Quantitative Assessment of Public and Non-Profit Strategies I (MA) (2017W)

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

Infos: http://www.univie.ac.at/itm/lehre/index.html
Bitte beachten Sie vor allem die Hinweise des Lehrenden ! Danke !

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).

Details

max. 25 participants
Language: English

Lecturers

Classes

FR, 06.10.2017 , 13.15-18.15 h, OMP 1, SR 2
FR, 20.10.2017 , 13.15-18.15 h, OMP 1, SR 2
FR, 03.11.2017 , 13.15-18.15 h, OMP 1, SR 2
FR, 10.11.2017 , 13.15-18.15 h, OMP 1, SR 2
FR, 17.11.2017 , 13.15-18.15 h, OMP 1, SR 2
FR, 19.01.2018 , 13.15-18.15 h, OMP 1, SR 2

Bitte beachten Sie stets die Hinweise des Lehrenden ! Danke !


Information

Aims, contents and method of the course

This course gives an overview on using different simulation techniques to enhance planning and improvement of the processes and systems behind non-profit organizations. Students learn about the principal functionality of simulations, benefits and drawbacks, and the different areas of applications.
The course focuses on the techniques of system dynamics and discrete event simulations. Several practical examples elaborated by the students will build up the knowledge of system dynamics.
To demonstrate the wide application area of discrete event simulations, we will elaborate an example in emergency medical management in the field of mass casualty incidents. Therefore, we use a discrete event simulation policy model which is applied by the Austrian Samaritan Organization in a workshop setting. The students will learn essential lessons on emergency disaster management, scheduling emergency patients, and training emergency staff at ambulatory services with management games.

Assessment and permitted materials

• Writing of course paper(s) of the assignment(s) and presenting it.
• Delivery of the presentation and course paper(s) in time in an electronic version as well as in a hard copy version.
• The course paper(s) and presentation(s) have to meet the requirements of the department and common scientific guidelines (i.e. list all sources and provide adequate references, supplement text with tables and figures, avoid plagiarism, …)
• Write and present in English.
• Achieve a score of at least 50 points

Minimum requirements and assessment criteria

• Attendance and Participation: max. 5 points
• Workshops: max. 20 points
• Presentation of Course Paper(s): max. 30 points
• Written Version of Course Paper(s): max. 45 points
All parts have to be positive!

Examination topics

Reading list

• Altay, N., Green, W.G. (2006) OR/MS research in disaster operations management, European Journal of Operations Research, 175(2):475-93.
• Rauner, M.S., Schaffhauser-Linzatti M.M., Niessner, H. (2012) Resource planning for ambulance services in mass casualty incidents: A DES-based policy model, Health Care Management Science, 15(3): 254-269.
• Brailsford, S., Churilov, L., Dangerfield, B. (eds.) (2014) Discrete-Event Simulation and System Dynamics for Management Decision Making, John Wiley & Sons.
• Brennan A., Chick S., Davies R., A taxonomy of model structures for economic evaluation of health technologies, in: Health Economics 15:1295-1310, 2006
• Cooper K., Brailsford S., Davies R., Choice of modelling technique for evaluating health care technologies, in: The Journal of Operational Research 58, 2007
• Pidd, M., Computer Simulation in Management Science, John Wiley & Sons Ltd, 2004

Association in the course directory

Last modified: Mo 07.09.2020 15:29