Course title
エネルギーシステム解析特論II   [Energy Systems Analysis II]
Course category courses for the 5-years doctral program  Requirement   Credit 1 
Department   Year   Semester 3rd 
Course type 3rd  Course code 231006
Instructor(s)
秋澤 淳   [AKISAWA Atsushi]
Facility affiliation Graduate School of Bio-Applications and Systems Engineering Office   Email address

Course description
This course provides lectures on the theory of optimization, model analysis with optimization, and also exercises to formulate and analyze models such as optimization of production processes.
Expected Learning
Understanding the framework of optimization analysis and mathematical meaning of optimization. Learning how to formulate problems as optimization model and how to analyze optimal solutions with Excel.
Corresponding criteria in the Diploma Policy:
See the Curriculum maps.
Course schedule
No.1 System analysis and mathematical programming
No.2 Theory of optimization with equality constraints
No.3 Theory of optimization with inequality constraints
No.4 Exercise#1: Static optimization
No.5 Exercise#2: Dynamic optimization
No.6 Exercise#3: Optimization with binary variables
No.7 CO2 emission trading and optimization
No.8 Discussion
Prerequisites
Fundamentals of mathematics and Capability of using Excel
Required Text(s) and Materials
None
References
H.P. Williams, Model Building in Mathematical Programming, Sangyo-tosho, 1995.
Yamaji Kenji, Mathematical Systems Engineering, Suuri-Kogaku-sya, 2007.
Nishimura Kiyohiko, Optimization theory for Economics, Tokyo-daigaku-syuppankai, 1990.
Assessment/Grading
Report: 100%
Message from instructor(s)
This course suggests you "Learning by Doing". Formulating and analyzing optimization models actually on Excel will give you an opportunity to understand how effective the model analysis is.
Course keywords
Mathematical Programming, Model analysis, Optimization, Systems Engineering
Office hours
Friday 12:00-13:00
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
2/2/2022 2:23:32 PM