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Course title |
Decision Theory and Model |
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Semester |
113-1 |
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Designated for |
COLLEGE OF SOCIAL SCIENCES Graduate Institute of Public Affairs |
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Instructor |
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Curriculum Number |
GIPA5026 |
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Curriculum Identity Number |
343EU0350 |
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Class |
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Credits |
2.0 |
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Full/Half
Yr. |
Half |
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Required/
Elective |
Elective |
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Time |
Tuesday 3,4(10:20~12:10) |
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Remarks |
Restriction: juniors and beyond
The upper limit of the number of students: 20.
The upper limit of the number of non-majors: 2. |
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Course introduction video |
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Table of Core Capabilities and Curriculum Planning |
Table of Core Capabilities and Curriculum Planning |
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Course Syllabus
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Please respect the intellectual property rights of others and do not copy any of the course information without permission
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Course Description |
The purpose of this course is to explore the writings and theories of decision making and models. Positivism vs. post-positivism, root vs. branch approach of decision making, and models of decision analysis will be discussed, together with practices in decision making and policy analysis. In general, the course is problem-solving oriented with knowledge and skills of decision theories and models. |
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Course Objective |
This course equips students with knowledge of decision theories and skills of decision and policy analysis. The objectives include, though not limited:
1. Understand the paradigms of positivism vs. post-positivism
2. Identify the differences between rational decision making and incrementalism,
3. Apply decision making models and recognize their advantages and challenges. |
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Course Requirement |
Class participation: 10%
Assignment: 80%
-- There are 6 assignments (1-3 students as a team).
-- The score covers the assignment in ppt format uploaded to NTU COOL on time
and class presentation.
Final Exam: 10%
It is important to preview and review the required readings. Moreover, an assignment is followed by the instruction of each decision model. The application of decision models to real problems will benefit problem-solving thinking and skills. |
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Student Workload (Expected weekly study hours before and/or after class) |
2-4 hours |
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Office Hours |
Appointment required. Note: Email: yykuontu@ntu.edu.tw |
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Designated reading |
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References |
Week 1: Course Introduction; Policy Science
Lasswell, H. D., 1971, A Pre-View of Policy Sciences, American Elsevier.
Week 2: Policy Science, Policy Research and Policy Analysis
Lasswell, H. D., 1971, A Pre-View of Policy Sciences, American Elsevier.
Weimer, David L. (2012) “The Universal and the Particular in Policy Analysis and Training,” Journal of Comparative Policy Analysis: Research and Practice, 14:1, 1-8, DOI: 10.1080/13876988.2011.646819
Week 3: Multi-Attribute Model (MAUM)
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch2
Hsu, J. H. and Kuo, Y. Y. 2014, Policy Analysis. Best Wise. Ch9
H. Sulistiani, Setiawansyah, P. Palupiningsih, F. Hamidy, P. L. Sari and Y. Khairunnisa, 2023 "Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution," 2023 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), pp. 369-373, doi: 10.1109/ICIMCIS60089.2023.10349017.
Week 4: Assignment: Multi-Attribute Model (MAUM)
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch2
Hsu, J. H. and Kuo, Y. Y. 2014, Policy Analysis. Best Wise. Ch9
H. Sulistiani, Setiawansyah, P. Palupiningsih, F. Hamidy, P. L. Sari and Y. Khairunnisa, 2023 "Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution," 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), pp. 369-373, doi: 10.1109/ICIMCIS60089.2023.10349017.
Week 5: Decision Tree
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch3
Biresselioglu, Mehmet Efe, and Muhittin Hakan Demir. 2022. "Constructing a Decision Tree for Energy Policy Domain Based on Real-Life Data" Energies 15, no. 7: 2420. https://doi.org/10.3390/en15072420
Week 6: Assignment: Decision Tree
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch3
Biresselioglu, Mehmet Efe, and Muhittin Hakan Demir. 2022. "Constructing a Decision Tree for Energy Policy Domain Based on Real-Life Data" Energies 15, no. 7: 2420. https://doi.org/10.3390/en15072420
Week 7: Rational Choice vs. Incrementalism
Lindblom, C. 1959, The Science of Muddling Through. Public Administration Review, 19(2): 79-88
Lindblom, C. 1979, November-December. Still muddling, not yet through. Public Administration Review, 39, 517-526.
Week 8: Midterm Exam
Week 9: Public Finance vs. Public Choice
Buchanan, James M. and Musgrave, Richard A. 2000. Public Finance and Public Choice: Two Contrasting Visions of the State. Cambridge, Massachusetts: The MIT Press.
Week 10: Resource Allocation Model (RAM)
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch7
NSW Government, 2024, Resource Allocation Model. https://reurl.cc/YE7Ykl
World Health Organization, 2024, The Resource Allocation Model. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2480909/
Week 11: Assignment: Resource Allocation Model (RAM)
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch7
NSW Government, 2024, Resource Allocation Model. https://reurl.cc/YE7Ykl
World Health Organization, 2024, The Resource Allocation Model. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2480909/
Week 12: Game Theory
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch8
Arene, T. and Nikoleta, G. E. 2023. “The future of theoretical evolutionary game theory.” Phil. Trans. R. Soc. B3782021050820210508http://doi.org/10.1098/rstb.2021.0508
Week 13: Assignment: Game Theory
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch8
Arene, T. and Nikoleta, G. E. 2023. “The future of theoretical evolutionary game theory.” Phil. Trans. R. Soc. B3782021050820210508http://doi.org/10.1098/rstb.2021.0508
Week 14: Lens Model
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch4
Kuo, Yu-Ying and Kuo-yuan Liang. 2004. “Human Judgments in New York State Sales and Use Tax Forecasting.” Journal of Forecasting. 23(4), 297-314.
Week 15: Assignment: Lens Model
Kuo, YY, 2002, Public Policy: Decision Support Model Case Analysis. Best Wise. Ch4
Kuo, Yu-Ying and Kuo-yuan Liang. 2004. “Human Judgments in New York State Sales and Use Tax Forecasting.” Journal of Forecasting. 23(4), 297-314.
Week 16: Final Exam
Week 17: Online Learning or Site Visit
Yu-Ying Kuo (ed.). 2015, Policy Analysis in Taiwan. Bristol, UK, Policy Press.
Week 18: Online Learning or Site Visit
Yu-Ying Kuo (ed.), 2015, Policy Analysis in Taiwan. Bristol, UK, Policy Press. |
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Grading |
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Adjustment methods for students |
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Teaching methods |
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Assignment submission methods |
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Exam methods |
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Others |
Negotiated by both teachers and students |
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