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040703 KU Advanced Quantitative Assessment of Public and Non-Profit Strategies II (MA) (2025S)
Continuous assessment of course work
Labels
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 is open from Mo 10.02.2025 09:00 to Tu 18.02.2025 12:00
- Registration is open from We 26.02.2025 09:00 to Th 27.02.2025 12:00
- Deregistration possible until Fr 14.03.2025 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes
Friday, 14th March, 2025, 8.30 a.m. - 12.30 p.m., Lecture Hall 16, Oskar-Morgenstern-Platz 1, 2nd floor
Friday, 21st March, 2025, 8.30 a.m. - 12.30 p.m., Lecture Hall 16, Oskar-Morgenstern-Platz 1, 2nd floor
Friday, 28th March, 2025, 8.30 a.m. - 12.30 p.m., Lecture Hall 16, Oskar-Morgenstern-Platz 1, 2nd floor
Friday, 11th April, 2025, 8.30 a.m. - 12.30 p.m., Lecture Hall 16, Oskar-Morgenstern-Platz 1, 2nd floor
Friday, 9th May, 2025, 8.30 a.m. - 12.30 p.m., Lecture Hall 16, Oskar-Morgenstern-Platz 1, 2nd floor
Friday, 6th June, 2025, 8.30 a.m. - 12.30 p.m., Lecture Hall 16, Oskar-Morgenstern-Platz 1, 2nd floor
Friday, 6th June, 2025, 2 p.m. - 4 p.m., Lecture Hall 10, Oskar-Morgenstern-Platz 1, 2nd floor
Information
Aims, contents and method of the course
The module deals with the evaluation of technologies in public and non-profit management (PNPM). Special attention is given to the economic evaluation of technologies as an instrument of strategic management. The following topics of technology assessment will be covered: Early identification and analysis, strategic planning, implementation, and strategic control activities. Quantitative methods used here include utility analysis, cost-effectiveness analysis, and cost-benefit analysis, which are often embedded in operations research models such as optimization and simulation models. Students are introduced to technology assessment in a selected sector of public and nonprofit management, the health care sector. The students will apply the knowledge they have gained in group work (2 workshops) to a self-selected sample case from one of the six central sectors of public & non-profit management (education, environment, energy, health, disaster management, sports). In addition, a group homework from the above six central PNPM areas will analyze and present a current issue.In order to establish the practical relevance of the course in PNPM, an excursion into practice/politics/science is carried out every semester (e.g. Main Association of Austrian Social Insurance Institutions, hospitals/nursing homes, Hospital Association, rescue and disaster control facilities, pharmaceutical companies, MTD Forum, Karl Landsteiner Society: various events, Health Policy Forum).Furthermore, external practitioners and scientists are invited to give guest lectures (e.g. Dr. Claudia Wild from the Academy of Sciences/the Ludwig Bolzmann Institute, Prof. Dr. Sally Brailsford from the University of Southampton, Prof. Steffen Flessa from the University of Heidelberg, Prof. Ruth Davies from the University of Warwick, Prof. Dr. Liam O'Neill from Cornell University, Mag. Nina Pfeffer from the Main Association of Social Security Institutions, Prof. Zilla Sinuany-Stern from Ben-Gurion University in Beer-Sheva (Israel), Prof. Margaret Brandeau from Stanford University, planned: Nuclear Defense Expert). In the summer semester of 2002, the course was awarded a prize for interdisciplinary, innovative teaching by the University of Vienna.
Assessment and permitted materials
Presentation slide sets:
* Consideration of guidelines for literature research, slide sets, written work and AI (see: https:\\pnpm.univie.ac.at).
* Submission of the workshop/thesis (presentation - one-page printout with one slide per page in transparent cover in class & email with files pdf as well as doc & Moodle submission of files pdf as well as doc before class).
* The quality of the presentation will be included in the assessment.
* Please note that all written work is subject to a plagiarism check (software etc.). Research should be carried out independently and texts should be written by the student - only editing (correction of spelling/grammar errors) using artificial intelligence is permitted. Otherwise a negative assessment will be given.Oral presentation:
* The presentation of a topic should last max. 30 minutes (short topics approx. 5 minutes).
* The presentation is followed by a discussion (max. 15 minutes) with the auditorium.
* The quality of the presentation is part of the assessment.Attention, all written papers are subject to a plagiarism check (software etc.).
* Consideration of guidelines for literature research, slide sets, written work and AI (see: https:\\pnpm.univie.ac.at).
* Submission of the workshop/thesis (presentation - one-page printout with one slide per page in transparent cover in class & email with files pdf as well as doc & Moodle submission of files pdf as well as doc before class).
* The quality of the presentation will be included in the assessment.
* Please note that all written work is subject to a plagiarism check (software etc.). Research should be carried out independently and texts should be written by the student - only editing (correction of spelling/grammar errors) using artificial intelligence is permitted. Otherwise a negative assessment will be given.Oral presentation:
* The presentation of a topic should last max. 30 minutes (short topics approx. 5 minutes).
* The presentation is followed by a discussion (max. 15 minutes) with the auditorium.
* The quality of the presentation is part of the assessment.Attention, all written papers are subject to a plagiarism check (software etc.).
Minimum requirements and assessment criteria
Prerequisite for earning a passing course grade:
* Attendance & positive participation in the blocked exercise units (max. 15%).
* 2 workshop homeworks (max. 30%)
* 5 x Moodle-Quiz (max. 20%)
* Major homework: set of slides (max. 25%) and presentation (max. 10%)* The use of AI tools (e.g. ChatGPT) for the production of texts is only permitted if explicitly demanded by the course instructor (e.g. for individual work assignments).
* Two absences from block units are allowed, otherwise the course cannot be completed positively!
* Please note that all written work is subject to a plagiarism check (software etc.). Research should be carried out independently and texts should be written by the student - only editing (correction of spelling/grammar errors) using artificial intelligence is permitted. Otherwise a negative assessment will be given.Very good: 90%-100%
Good: 80%-89.75%
Satisfactory: 66%-79.75%
Sufficient: 50%-65.75%
Not Satisfactory: less than 49.75% or absent more than twice or plagiarism on major homework assignment.
* Attendance & positive participation in the blocked exercise units (max. 15%).
* 2 workshop homeworks (max. 30%)
* 5 x Moodle-Quiz (max. 20%)
* Major homework: set of slides (max. 25%) and presentation (max. 10%)* The use of AI tools (e.g. ChatGPT) for the production of texts is only permitted if explicitly demanded by the course instructor (e.g. for individual work assignments).
* Two absences from block units are allowed, otherwise the course cannot be completed positively!
* Please note that all written work is subject to a plagiarism check (software etc.). Research should be carried out independently and texts should be written by the student - only editing (correction of spelling/grammar errors) using artificial intelligence is permitted. Otherwise a negative assessment will be given.Very good: 90%-100%
Good: 80%-89.75%
Satisfactory: 66%-79.75%
Sufficient: 50%-65.75%
Not Satisfactory: less than 49.75% or absent more than twice or plagiarism on major homework assignment.
Examination topics
See literatureFor this course, current case studies from the international literature will be used.For example, the following homework topics were assigned in SS 2022:Education
Sanders, R., & Zhang, S. (2020). Effective resource utilization in Arkansas public schools. International Journal of Educational Management. 35(1), 131-141.Energy
Watabe, A., Leaver, J., Shafiei, E., & Ishida, H. (2020). Life cycle emissions assessment of transition to low-carbon vehicles in Japan: combined effects of banning fossil-fueled vehicles and enhancing green hydrogen and electricity.Clean Technologies and Environmental Policy, 22(9), 1775-1793.Environment
Jarvis, T., Clough, J., Cox, J., Petersen, K., Sailsbery, M., Robertson, C., ... & Lund, D. (2021). Using Survey Data and Mathematical Modeling to Prioritize Water Interventions in Developing Countries. Water Resources Management, 35(2), 745-756.Health
Correa-Galendi, J. S., Diz, M. D. P. E., Stock, S., & Müller, D. (2021). Economic modelling of screen-and-treat strategies for brazilian women at risk of hereditary breast and ovarian cancer. Applied Health Economics and Health Policy, 19(1), 97-109.Disaster
Tang, J., Li, W., Fang, J., Zhang, Z., Du, S., Wu, Y., & Wen, J. (2021). Scenario-based economic and societal risk assessment of storm flooding in Shanghai. International Journal of Climate Change Strate-gies and Management, 13(4-5), 529-545.Sports
Edmunds, K., Reeves, P., Scuffham, P., Galvão, D. A., Newton, R. U., Jones, M., ... & Tuffaha, H. (2020). Cost-effectiveness analysis of supervised exercise training in men with prostate Cancer previ-ously treated with radiation therapy and androgen-deprivation therapy. Applied Health Economics and Health Policy, 18(5), 727-737.
Sanders, R., & Zhang, S. (2020). Effective resource utilization in Arkansas public schools. International Journal of Educational Management. 35(1), 131-141.Energy
Watabe, A., Leaver, J., Shafiei, E., & Ishida, H. (2020). Life cycle emissions assessment of transition to low-carbon vehicles in Japan: combined effects of banning fossil-fueled vehicles and enhancing green hydrogen and electricity.Clean Technologies and Environmental Policy, 22(9), 1775-1793.Environment
Jarvis, T., Clough, J., Cox, J., Petersen, K., Sailsbery, M., Robertson, C., ... & Lund, D. (2021). Using Survey Data and Mathematical Modeling to Prioritize Water Interventions in Developing Countries. Water Resources Management, 35(2), 745-756.Health
Correa-Galendi, J. S., Diz, M. D. P. E., Stock, S., & Müller, D. (2021). Economic modelling of screen-and-treat strategies for brazilian women at risk of hereditary breast and ovarian cancer. Applied Health Economics and Health Policy, 19(1), 97-109.Disaster
Tang, J., Li, W., Fang, J., Zhang, Z., Du, S., Wu, Y., & Wen, J. (2021). Scenario-based economic and societal risk assessment of storm flooding in Shanghai. International Journal of Climate Change Strate-gies and Management, 13(4-5), 529-545.Sports
Edmunds, K., Reeves, P., Scuffham, P., Galvão, D. A., Newton, R. U., Jones, M., ... & Tuffaha, H. (2020). Cost-effectiveness analysis of supervised exercise training in men with prostate Cancer previ-ously treated with radiation therapy and androgen-deprivation therapy. Applied Health Economics and Health Policy, 18(5), 727-737.
Reading list
All relevant materials are provided on the e-learning platform Moodle.• Levin, H. M., McEwan, P. J. (2000). Cost-effectiveness Analysis: Methods and Applications (Vol. 4). Sage.
• Atkinson, G., Braathen, N.A., Groom, B., Mourato, S. (2018). Cost-Benefit Analysis and the Environment: Further Developments and Policy Use, OECD Publishing.
• Hallegatte, S. (2014). Natural Disasters and Climate Change, An Economic Perspective, Springer.
• Hunink, M. M., Weinstein, M. C., Wittenberg, E., Drummond, M. F., Pliskin, J. S., Wong, J. B., Glasziou, P. P. (2014). Decision Making in Health and Medicine: Integrating Evidence and Values, Cambridge University Press.
• Gold, M.R. et al. (1996). Cost-effectiveness in Health and Medicine, Oxford University Press, New York/Oxford. (Bibliothek)
• Geisler, E., Heller, O. (1998). Management of Medical Technology, Theory, Practice and Cases, Kluwer.
• Atkinson, G., Braathen, N.A., Groom, B., Mourato, S. (2018). Cost-Benefit Analysis and the Environment: Further Developments and Policy Use, OECD Publishing.
• Hallegatte, S. (2014). Natural Disasters and Climate Change, An Economic Perspective, Springer.
• Hunink, M. M., Weinstein, M. C., Wittenberg, E., Drummond, M. F., Pliskin, J. S., Wong, J. B., Glasziou, P. P. (2014). Decision Making in Health and Medicine: Integrating Evidence and Values, Cambridge University Press.
• Gold, M.R. et al. (1996). Cost-effectiveness in Health and Medicine, Oxford University Press, New York/Oxford. (Bibliothek)
• Geisler, E., Heller, O. (1998). Management of Medical Technology, Theory, Practice and Cases, Kluwer.
Association in the course directory
Last modified: We 29.01.2025 17:05