Planning and Management of Social Systems

Numbering Code U-ENG23 33044 LJ55
U-ENG23 33044 LJ24
U-ENG23 33044 LJ73
Year/Term 2022 ・ First semester
Number of Credits 2 Course Type Lecture
Target Year Target Student
Language Japanese Day/Period Thu.1
Instructor name TATANO HIROKAZU (Disaster Prevention Research Institute Professor)
OONISHI MASAMITSU (Disaster Prevention Research Institute Associate Professor)
FUJIMI TOSHIO (Disaster Prevention Research Institute Associate Professor)
Outline and Purpose of the Course The aim of Planning and Management of Social Systems is to provide the basic knowledge of infrastructure planning and management. In the first half of the class, the basic concepts and frameworks of typical mathematical models are explained. The second half provides cutting-edge issues including participatory approach in social decision-makings and risk governance.
Course Goals The target of this lecture is to understand roles of infrastructure planning and management, typical models for systems analysis, cutting-edge issues in infrastructure planning.
Schedule and Contents 1. Guidance/Social System and Systems Analysis: Tatano
2. Methods for problem structuring and significance of infrastructure planning: Tatano
3. Multivariate analysis (1): Onishi
Significance of multivariate analysis, review of linear regression model
4. Multivariate analysis (2): Onishi
Multiple regression model
5. Multivariate analysis (3): Onishi
Various methods of multivariate analysis and application
6. Multivariate analysis (4): Onishi
Principal component analysis
7. Queuing theory: Onishi
8. Application of queuing theory in port facility planning: Onishi
9. Game theory: Onishi
10. Institutional design: Onishi
11. Decision-making under uncertainty (1): Tatano
Markov decision process model
12. Decision-making under uncertainty (2): Tatano
Exercise of applying Markov decision process model in planning problem
13. Cutting-edge of infrastructure planning (1): Tatano
Participatory approach
14. Cutting-edge of infrastructure planning (2): Tatano
Risk governance
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15. Feedback
Evaluation Methods and Policy Evaluation is based on attendance (30%) and the score of final exam (70%).
Course Requirements Fundamental understanding of probability
Study outside of Class (preparation and review) Students are requested to review probabilistic models by using textbook such as the one used in the class of ‘Probabilistic and Statistical Analysis and Exercise’. Because the time for review is limited, students are requested to review by themselves as needed basis.
Textbooks Textbooks/References Systems analysis for Infrastructure planning: phenomenal analysis, Morikita pub. (in Japanese) ISBN: 4627427301
Courses delivered by Instructors with Practical Work Experience 分類:

A course with practical content delivered by instructors with practical work experience
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