Basic courses B: Evidence Development Methodologies Required Electives
| Title | 11. | Quantitative Methods for Management and Policy Analysis Held by the Graduate School of: Engineering Number: 3792-142 |
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| Instructor | NISHINO Nariaki MORI Junichiro SHIBASAKI Ryuichi ASATANI Kimitaka |
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| Schedule | S1 / Wed. 3-4th[13:00～14:45、14:55～16:40]、Fri. 3-4th[13:00～14:45、14:55～16:40] |
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| Language | English | |
| Credit | 4 | |
| Room | Please check the venue (online / classroom location) by each course on UTAS or ITC-LMS. | |
| Abstract | This course aims to acquire several mathematical methods concerning management and policy analysis. For example, a method related to optimization gives you good insights when considering a sort of planning or managerial issues. Policymaking issues are applicable as well. Theories related to decision-making are also very useful for management and policy issues. Such a theory with a mathematical basis becomes fundamentals for those analyses. In addition, the recent development of ICT enables the use of big data and thereby skills treating such kinds of data are essential. Simulation technique is also very useful. Against these backgrounds, this course is comprised of the following five parts: (1) optimization, (2) decision theory, (3) simulation, (4) information processing technique, and (5) transportation model and analysis. An exercise style is additionally included as a part of the course. The first half of each time gives you its content with a lecture-style; then, in the second half, you tackle related problem-solving exercises, aiming at developing your proficiency in those methods. |