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040259 KU Advanced Quantitative Assessment of Public and Non-Profit Strategies I (MA) (2019W)
Continuous assessment of course work
Labels
Infos: http://www.univie.ac.at/itm/lehre/index.html
Bitte beachten Sie vor allem die Hinweise des Lehrenden ! Danke !
Bitte beachten Sie vor allem die Hinweise des Lehrenden ! Danke !
Registration/Deregistration
- Registration is open from Mo 16.09.2019 09:00 to Mo 23.09.2019 12:00
- Registration is open from Th 26.09.2019 09:00 to Fr 27.09.2019 12:00
- Deregistration possible until Mo 14.10.2019 12:00
Details
max. 25 participants
Language: English
Lecturers
Classes
FR 04.10.2019 08.30-12.30 Ort: Seminarraum 6 OMP1 1.Stock
FR 11.10.2019 08.30-12.30 Ort: Seminarraum 6 OMP1 1.Stock
FR 25.10.2019 08.30-10.30 Ort: Seminarraum 6 OMP1 1.Stock
FR 25.10.2019 13.00-15.00 Ort: Hörsaal 15 OMP1 2. Stock
FR 08.11.2019 08.30-12.30 Ort: Seminarraum 6 OMP1 1.Stock
FR 06.12.2019 08.30-12.30 Ort: Seminarraum 6 OMP1 1.Stock
FR 10.01.2020 08.30-12.30 Ort: Seminarraum 6 OMP1 1.Stock
Information
Aims, contents and method of the course
This course gives an overview on using different simulation techniques to enhance planning and improvement of processes and systems behind public and non-profit organizations. Students learn about the principal functionality of simulation methods including their benefits and drawbacks. The course focuses on the techniques of system dynamics and discrete event simulation including several practical workshop examples elaborated by students. We also briefly discuss agent-based simulation. To demonstrate the wide application area of discrete event simulation policy models combined with optimization techniques, we present an example in the emergency medical management field regarding scheduling of mass casualty incidents for ambulance services such as the Austrian Samaritan Organization at the incident site. We use this disaster policy model as a management game for students in a workshop setting. Therefore, students learn essential lessons on emergency disaster management, scheduling emergency patients, and training emergency staff at ambulance services. For investigating further application areas, students present and write a course paper on the improvement of process man-agement by different and even hybrid simulation approaches in selected fields of public and non-profit management in an international context (e.g., education, environment, energy, health care, disaster, recreation).This course is interlinked with practice by giving the students the opportunity to join meetings of the forum of health eco-nomics (gesundheitspolitisches Forum): http://www.gesundheitspolitischesforum.at/ or ÖGOR meetings (e.g., health care, disaster management, energy): https://oegor.wordpress.com/
Assessment and permitted materials
Oral & written homework assignments
• All oral & written homework assignments have to follow scientific guidelines: (https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/).
• Each presentation should take up to 30 minutes (course paper) and up to 10 minutes (workshops).
• There should be a short discussion with the auditorium after the presentation.
• The use of the beamer is expected (legible slides).
• The quality of the presentations is part of the final grade.
• All files of the course paper (oral and written part) must be electronically turned in a day before the presentation on the moodle platform (1 x doc-file, 1x ppt-file, 2x pdf-files). The printed versions of the slides and course paper are part of the final grade. Please ONLY print one slide on ONE page on the front of the paper sheet! Please do NOT print on the back of the paper sheet!Requirements for a positive grade (min. 50%)
• Attendance in class (10%), participation (30%) in workshops, and disaster game (20%)
• Writing (30%) and presenting a course paper (10%) based on given assignments. The written course paper and the oral presentations have to meet common scientific guidelines (i.e., listing of all references, providing adequate references, supplementing the text with tables and figures, avoiding plagiarism): https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/
• Prodiving electronic files (docx/ppt AND pdf) via moodle (day before the presenation) as well as printed versions (at the day oft the presentation in class) of the assigned course paper regarding the oral presentation part and written versi-on part.
• Achieving a total score of at least 50%.Grading
• Attendance and Participation: max. 10%
• Workshops: max. 30%
• Disaster Game: max. 20%
• Presentation of Course Paper: max. 10%
• Written Version of Course Paper: max. 30%Registration and acceptance criteria
Online registration for the assignment to classes takes place at the beginning of the semester. Students with the highest amount of assigned points will be accepted. In case someone is absent during the first preliminary discussion, this person will lose their place in the course so that other students from the waiting list may be accommodated.
• All oral & written homework assignments have to follow scientific guidelines: (https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/).
• Each presentation should take up to 30 minutes (course paper) and up to 10 minutes (workshops).
• There should be a short discussion with the auditorium after the presentation.
• The use of the beamer is expected (legible slides).
• The quality of the presentations is part of the final grade.
• All files of the course paper (oral and written part) must be electronically turned in a day before the presentation on the moodle platform (1 x doc-file, 1x ppt-file, 2x pdf-files). The printed versions of the slides and course paper are part of the final grade. Please ONLY print one slide on ONE page on the front of the paper sheet! Please do NOT print on the back of the paper sheet!Requirements for a positive grade (min. 50%)
• Attendance in class (10%), participation (30%) in workshops, and disaster game (20%)
• Writing (30%) and presenting a course paper (10%) based on given assignments. The written course paper and the oral presentations have to meet common scientific guidelines (i.e., listing of all references, providing adequate references, supplementing the text with tables and figures, avoiding plagiarism): https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/
• Prodiving electronic files (docx/ppt AND pdf) via moodle (day before the presenation) as well as printed versions (at the day oft the presentation in class) of the assigned course paper regarding the oral presentation part and written versi-on part.
• Achieving a total score of at least 50%.Grading
• Attendance and Participation: max. 10%
• Workshops: max. 30%
• Disaster Game: max. 20%
• Presentation of Course Paper: max. 10%
• Written Version of Course Paper: max. 30%Registration and acceptance criteria
Online registration for the assignment to classes takes place at the beginning of the semester. Students with the highest amount of assigned points will be accepted. In case someone is absent during the first preliminary discussion, this person will lose their place in the course so that other students from the waiting list may be accommodated.
Minimum requirements and assessment criteria
Oral & written homework assignments
• All oral & written homework assignments have to follow scientific guidelines: (https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/).
• Each presentation should take up to 30 minutes (course paper) and up to 10 minutes (workshops).
• There should be a short discussion with the auditorium after the presentation.
• The use of the beamer is expected (legible slides).
• The quality of the presentations is part of the final grade.
• All files of the course paper (oral and written part) must be electronically turned in a day before the presentation on the moodle platform (1 x doc-file, 1x ppt-file, 2x pdf-files). The printed versions of the slides and course paper are part of the final grade. Please ONLY print one slide on ONE page on the front of the paper sheet! Please do NOT print on the back of the paper sheet!Requirements for a positive grade (min. 50%)
• Attendance in class (10%), participation (30%) in workshops, and disaster game (20%)
• Writing (30%) and presenting a course paper (10%) based on given assignments. The written course paper and the oral presentations have to meet common scientific guidelines (i.e., listing of all references, providing adequate references, supplementing the text with tables and figures, avoiding plagiarism): https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/
• Prodiving electronic files (docx/ppt AND pdf) via moodle (day before the presenation) as well as printed versions (at the day oft the presentation in class) of the assigned course paper regarding the oral presentation part and written versi-on part.
• Achieving a total score of at least 50%.Grading
• Attendance and Participation: max. 10%
• Workshops: max. 30%
• Disaster Game: max. 20%
• Presentation of Course Paper: max. 10%
• Written Version of Course Paper: max. 30%Registration and acceptance criteria
Online registration for the assignment to classes takes place at the beginning of the semester. Students with the highest amount of assigned points will be accepted. In case someone is absent during the first preliminary discussion, this person will lose their place in the course so that other students from the waiting list may be accommodated.
• All oral & written homework assignments have to follow scientific guidelines: (https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/).
• Each presentation should take up to 30 minutes (course paper) and up to 10 minutes (workshops).
• There should be a short discussion with the auditorium after the presentation.
• The use of the beamer is expected (legible slides).
• The quality of the presentations is part of the final grade.
• All files of the course paper (oral and written part) must be electronically turned in a day before the presentation on the moodle platform (1 x doc-file, 1x ppt-file, 2x pdf-files). The printed versions of the slides and course paper are part of the final grade. Please ONLY print one slide on ONE page on the front of the paper sheet! Please do NOT print on the back of the paper sheet!Requirements for a positive grade (min. 50%)
• Attendance in class (10%), participation (30%) in workshops, and disaster game (20%)
• Writing (30%) and presenting a course paper (10%) based on given assignments. The written course paper and the oral presentations have to meet common scientific guidelines (i.e., listing of all references, providing adequate references, supplementing the text with tables and figures, avoiding plagiarism): https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/
• Prodiving electronic files (docx/ppt AND pdf) via moodle (day before the presenation) as well as printed versions (at the day oft the presentation in class) of the assigned course paper regarding the oral presentation part and written versi-on part.
• Achieving a total score of at least 50%.Grading
• Attendance and Participation: max. 10%
• Workshops: max. 30%
• Disaster Game: max. 20%
• Presentation of Course Paper: max. 10%
• Written Version of Course Paper: max. 30%Registration and acceptance criteria
Online registration for the assignment to classes takes place at the beginning of the semester. Students with the highest amount of assigned points will be accepted. In case someone is absent during the first preliminary discussion, this person will lose their place in the course so that other students from the waiting list may be accommodated.
Examination topics
siehe Literatur
Reading list
Course materials
All course materials are available on the E-Learning-Platform Moodle.Topics for Course Papers (to be presented in the last session in January)Education Sector: (2-3 students)
Strauss, L. M., & Borenstein, D. (2015). A system dynamics model for long-term planning of the undergraduate education in Brazil. Higher Education, 69(3), 375-397.Disaster Sector: (2-3 students)
Fikar, C., Hirsch, P., & Nolz, P. C. (2018). Agent-based simulation optimization for dynamic disaster relief distribution. Central European Journal of Operations Research, 26(2), 423-442.Environment Sector: (2-3 students)
Kieckhäfer, K., Volling, T., & Spengler, T. S. (2014). A hybrid simulation approach for estimating the market share evoluti-on of electric vehicles. Transportation Science, 48(4), 651-670.Energy Sector: (2-3 students)
Meyer, M., Robinson, H., Fisher, M., Van der Merwe, A., Streicher, G., Van Rensburg, J. J., ... & Rossouw, R. (2011). Inno-vative decision support in a petrochemical production environment. Interfaces, 41(1), 79-92.Health Care Sector: (2-3 students)
Karimi, E., Schmitt, K., & Akgunduz, A. (2015). Effect of individual protective behaviors on influenza transmission: an agent-based model. Health Care Management Science, 18(3), 318-333.Recreation Sector: (2-3 students)
Hsiao, C. T., Lin, J. S., & Chang, K. P. (2010). Taekwondo sport development: The case of Taiwan. OR insight, 23(3), 154-171.Oral presentation & slides: see checklist for oral presentation!
Written course paper: see guidelines for course papers!
https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/LiteratureMain literature:
• Borshev, A. (2013. The Big Book of Simulation Modelling, edited by Anylogic NA.
• Grigoryev, I. (2015) AnyLogic 7 in three days. A quick course in simulation modeling, 2.
• Pidd, M. (2004) Computer Simulation in Management Science, John Wiley & Sons Ltd.
• Brailsford, S., Churilov, L., Dangerfield, B. (eds.) (2014) Discrete-Event Simulation and System Dynamics for Manage-ment Decision Making, John Wiley & Sons.
• Brennan A., Chick S., Davies R. (2006) A taxonomy of model structures for economic evaluation of health technologies, Health Economics, 15:1295-1310.
• Cooper K., Brailsford S., Davies R. (2007) Choice of modelling technique for evaluating health care technologies, The Journal of Operational Research, 58(2): 168-176.
• Niessner, H., Rauner, M. S., & Gutjahr, W. J. (2018) A dynamic simulation–optimization approach for managing mass casualty incidents, Operations Research for Health Care, 17, 82-100.
• Rauner, M.S., Schaffhauser-Linzatti M.M., Niessner, H. (2012) Resource planning for ambulance services in mass casual-ty incidents: A DES-based policy model, Health Care Management Science, 15(3): 254-269.Additional literature:
• Amaran, S., Sahinidis, N. V., Sharda, B., & Bury, S. J. (2016). Simulation optimization: a review of algorithms and appli-cations. Annals of Operations Research, 240(1), 351-380.
• Jahangirian, M., Naseer, A., Stergioulas, L., Young, T., Eldabi, T., Brailsford, S., ... & Harper, P. (2012). Simulation in health-care: lessons from other sectors. Operational Research, 12(1), 45-55.
• Leopold, A. (2016). Energy related system dynamic models: a literature review. Central European Journal of Operations Research, 24(1), 231-261.
• Macal, C. M. (2016). Everything you need to know about agent-based modelling and simulation. Journal of Simulation, 10(2), 144-156.
• Mishra, D., Kumar, S., & Hassini, E. (in print). Current trends in disaster management simulation modelling research. An-nals of Operations Research, 1-25.
• Zhang, X. (2018). Application of discrete event simulation in health care: a systematic review. BMC Health Services Re-search (2018) 18(1): 687.https://www.anylogic.com/resources/educational-videos/introduction-to-anylogic-software/Agent Based Modeling: Consumer Choice Model https://www.youtube.com/watch?v=4zQy79EEyko040669 KU Simulation I & II (MA) (2018W)
All course materials are available on the E-Learning-Platform Moodle.Topics for Course Papers (to be presented in the last session in January)Education Sector: (2-3 students)
Strauss, L. M., & Borenstein, D. (2015). A system dynamics model for long-term planning of the undergraduate education in Brazil. Higher Education, 69(3), 375-397.Disaster Sector: (2-3 students)
Fikar, C., Hirsch, P., & Nolz, P. C. (2018). Agent-based simulation optimization for dynamic disaster relief distribution. Central European Journal of Operations Research, 26(2), 423-442.Environment Sector: (2-3 students)
Kieckhäfer, K., Volling, T., & Spengler, T. S. (2014). A hybrid simulation approach for estimating the market share evoluti-on of electric vehicles. Transportation Science, 48(4), 651-670.Energy Sector: (2-3 students)
Meyer, M., Robinson, H., Fisher, M., Van der Merwe, A., Streicher, G., Van Rensburg, J. J., ... & Rossouw, R. (2011). Inno-vative decision support in a petrochemical production environment. Interfaces, 41(1), 79-92.Health Care Sector: (2-3 students)
Karimi, E., Schmitt, K., & Akgunduz, A. (2015). Effect of individual protective behaviors on influenza transmission: an agent-based model. Health Care Management Science, 18(3), 318-333.Recreation Sector: (2-3 students)
Hsiao, C. T., Lin, J. S., & Chang, K. P. (2010). Taekwondo sport development: The case of Taiwan. OR insight, 23(3), 154-171.Oral presentation & slides: see checklist for oral presentation!
Written course paper: see guidelines for course papers!
https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/LiteratureMain literature:
• Borshev, A. (2013. The Big Book of Simulation Modelling, edited by Anylogic NA.
• Grigoryev, I. (2015) AnyLogic 7 in three days. A quick course in simulation modeling, 2.
• Pidd, M. (2004) Computer Simulation in Management Science, John Wiley & Sons Ltd.
• Brailsford, S., Churilov, L., Dangerfield, B. (eds.) (2014) Discrete-Event Simulation and System Dynamics for Manage-ment Decision Making, John Wiley & Sons.
• Brennan A., Chick S., Davies R. (2006) A taxonomy of model structures for economic evaluation of health technologies, Health Economics, 15:1295-1310.
• Cooper K., Brailsford S., Davies R. (2007) Choice of modelling technique for evaluating health care technologies, The Journal of Operational Research, 58(2): 168-176.
• Niessner, H., Rauner, M. S., & Gutjahr, W. J. (2018) A dynamic simulation–optimization approach for managing mass casualty incidents, Operations Research for Health Care, 17, 82-100.
• Rauner, M.S., Schaffhauser-Linzatti M.M., Niessner, H. (2012) Resource planning for ambulance services in mass casual-ty incidents: A DES-based policy model, Health Care Management Science, 15(3): 254-269.Additional literature:
• Amaran, S., Sahinidis, N. V., Sharda, B., & Bury, S. J. (2016). Simulation optimization: a review of algorithms and appli-cations. Annals of Operations Research, 240(1), 351-380.
• Jahangirian, M., Naseer, A., Stergioulas, L., Young, T., Eldabi, T., Brailsford, S., ... & Harper, P. (2012). Simulation in health-care: lessons from other sectors. Operational Research, 12(1), 45-55.
• Leopold, A. (2016). Energy related system dynamic models: a literature review. Central European Journal of Operations Research, 24(1), 231-261.
• Macal, C. M. (2016). Everything you need to know about agent-based modelling and simulation. Journal of Simulation, 10(2), 144-156.
• Mishra, D., Kumar, S., & Hassini, E. (in print). Current trends in disaster management simulation modelling research. An-nals of Operations Research, 1-25.
• Zhang, X. (2018). Application of discrete event simulation in health care: a systematic review. BMC Health Services Re-search (2018) 18(1): 687.https://www.anylogic.com/resources/educational-videos/introduction-to-anylogic-software/Agent Based Modeling: Consumer Choice Model https://www.youtube.com/watch?v=4zQy79EEyko040669 KU Simulation I & II (MA) (2018W)
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Last modified: Tu 24.09.2019 17:27