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Course Detail

Degree
Doctor
Standard Academic Year
1 - 3
Course delivery methods
Online (Synchronous), face-to-face
Subject
Computer Science, Engineering & technology
Program
School
Degree Programs in Systems and Information Engineering
Department
Doctoral Program in Risk and Resilience Engineering
Campus
Tsukuba Campus
Classroom
Course Offering Year
2022-2023
Course Offering Month
November - December
Weekday and Period
Intensive
Capacity
Credits
1.0
Language
English
Course Number
0BLC510

Policy and case study on information-intelligence-based disaster risk management University of Tsukuba

Course Overview

Disaster Prevention Research and Efforts in NCDR. The main concepts proposed by NCDR are aimed at how to implement scientific outputs at level of policy formation, emergency operation, information integration and risk communication. With practical case studies, it will office students a chance to think the way to develop effective and efficiency disaster risk management.

Learning Achievement

Disaster Prevention Research and Efforts in NCDR. The main concepts proposed by NCDR are aimed at how to implement scientific outputs at level of policy formation, emergency operation, information integration and risk communication. With practical case studies, it will office students a chance to think the way to develop effective and efficiency disaster risk management.

1. Lecture 1 (Fujiwara): Review the relationships between Japan and Taiwan in disaster risk management (1 class)

2. Lecture 2 (Wei-Sen Li): Review progresses of policy and scientific development for disaster risk management in Taiwan (1 class)

3. Lecture 3 (Yi-Chung Liu): Case study 1: 1999 Chi-Chi Earthquake. The earthquake exposed structural failures at residential buildings, schools and infrastructure, and initiated a great momentum to push legislation for disaster risk management and allocate more investment in research. (1 class)

4. Lecture 4 (Yi-Chung Liu): Case study 2: 2009 Typhoon Morakot. The typhoon is a typical extreme weather event bringing sever causalities and interruptions to lifeline systems and telecommunications. After Morakot, a thorough scientific review focused on how to better meet actual demands. (1 class)

5. Lecture 5 (Wei-Sen Li): Information intelligence. Now applications of ICT, big data and open data are important topics for disaster risk reduction and emergency preparedness. Within lectures, it will tell how to integrate data sets from government agencies and dispatch disaster alter through multiple channels. (2.5 classes)

6. Lecture 6 (Wei-Sen Li): Evidence-based emergency operation. To handle developing situations before, during and after a disaster, it requires scientific tools to assist emergency responders. For example, impact-assessment is useful to accommodate uncertainties of typhoon forecasts by highlighting potential disaster ho6spots. (2.5 classes)

7. Lecture 7 (Fujiwara): Discuss the differences between Japan and Taiwan in disaster risk management and how Japanese or Taiwanese disaster risk management should be. (1 class)

Competence

Course prerequisites

Grading Philosophy

Discussion(30%) and report(70%)
Passed with an overall rating of 60% or higher.

Course schedule

Course type

Lectures

Online Course Requirement

Instructor

Li Wei-Sen,LIU Yi-Chung,Usuda Yuichiro,Umemoto Michitaka

Other information

今後の状況により、オンライン授業となる可能性あり。
Identical to 02CF910.
Lecture is conducted in English.
Online(Synchronous). face-to-face This class will be taught in English.
Ask question positively, since the number of questions is included in evaluation.
Conduct with broad interest not only in your fields, but also with regard to the realization, maintenance, and recovery of security and trust in society.

Site for Inquiry

Please inquire about the courses at the address below.

Contact person: Michitaka Umemoto

Email address: umemoto#at#risk.tsukuba.ac.jp(Replace #at# with @)


Link to the syllabus provided by the university