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大学院カリキュラム

Name of Lecture	Advanced Mathematical Methods for Infrastructure and Transportation Planning
Semester	Spring Semester
Credits	2-0-0
Opening year	Odd Years
Lecturer	Assoc. Prof. Daisuke FUKUDA
Syllabus	[Aims and Scope] Mathematical methodologies for infrastructure, transportation and city planning will be lectured. These include: (1) Advanced statistical techniques for transportation data analysis, (2) Econometric methods for travel demand forecasting, and (3) Mathematical optimization techniques for project evaluation. [Outline] Introduction Overview of Systems Analysis Fundamentals of Mathematical Optimization Problem (Optimization with equality constraints) Advanced Topics of Mathematical Optimization Problem (Optimization with inequality constraints and Dynamic programming) Fundamentals of Statistical Regression Analysis (Multiple regression analysis) Advanced Topics of Statistical Regression Analysis (Simultaneous equation system, Time-series analysis) Fundamentals of Discrete Choice Model (Derivation and Estimation of Logit Model) Advanced Topics of Discrete Choice Model (Demand Forecasting, Extended Discrete Choice Models) [Evaluation] Attendance, Home Work Assignments and Examination [Text] Lecture materials will be provided by the lecturer.