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最終更新日:2019/12/05  
筑波大学 教育課程編成支援システム(EN)

01CF411 Seminar in Modeling of Energy and Environment Systems

2.0 Credits, 1, 2 Year, FallAB Thu5,6
Kengo Suzuki

Course Overview

Learn the method to quantitatively model energy and environment systems and to implement the designed model to computers. Study the risks related with the energy and environment systems, and learn the methods to totally discuss the measures against these risks by the simulations using the implemented model.

Remarks

Cannot be taken with “Seminar in Risk Analysis and Assessment on Energy Systems”

Course Type

class exercises

Relation to Degree Program Competences

1) The basic theory for analyzing and assessing risk
2) Knowledge of fundamental/basic theory of related fields
3) Understanding of real world problems
4) Ability in recognizing problems from a broad perspective

Course Objectives(Learning Outcomes)

Learn the methods to model energy and environment system and to utilize the model analyses to solve problems in real world through experimental learning. Develop a mindset to design the future of huge and complex social systems by studying system optimization model and gaming model.

Course Keywords

Class Schedule

The contents of this course are as follows. Students who want to participate in this course must attend a guidance in the first week. Generally, those who does not attend the guidance cannot get credits. The number of participants may be limited because of the constraints of instruments.

1)Guidance   
2)Overview of system optimization model   
3)Practice of system optimization model (1)   
4)Practice of system optimization model (2)   
5)Practice of system optimization model (3)   
6)Practice of system optimization model (4)   
7)Overview of gaming model   
8)Practice of gaming model (1)   
9)Practice of gaming model (2)   
10)Practice of gaming model (3)   

Course Prerequisites

1) Students can implement the energy and environment systems on a computer as system optimization model
2) Students can analyze and discuss the problems of actual society by using an optimization model
3) Students can analyze and discuss the problems of actual society by using a gaming model

Grading Philosophy

Students must attend the guidance. The evaluation is engagement to practices (20%) and reports (80%). Generally, there is no bailout for students with bad score.

Course Hours Breakdown and Out-of-Class Learning

<students majoring in this field>
1) The basic theory for analyzing and assessing risk
3) Understanding of real world problems
4) Ability in recognizing problems from a broad perspective
<students majoring other fields>
2) Knowledge of fundamental/basic theory of related fields
3) Understanding of real world problems
4) Ability in recognizing problems from a broad perspective

Textbooks, References,and Supplementary Materials

Office Hours and Contact Information

Other(Behavioral expectations and points to note for students during coursework)

Relation to Other Courses

Teaching Fellow and/or Teaching Assistant