Hiroshima University Syllabus

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Japanese
Academic Year 2017Year School/Graduate School Graduate School of Engineering (Master course)
Lecture Code U8160201 Subject Classification Specialized Education
Subject Name Advanced Optimal Design
Subject Name
(Katakana)
 
Subject Name in
English
Advanced Optimal Design
Instructor TAKEZAWA AKIHIRO
Instructor
(Katakana)
タケザワ アキヒロ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  First Semester
Days, Periods, and Classrooms (1st) Fri3-4:ENG 105
Lesson Style Lecture Lesson Style
【More Details】
Lecture 
Credits 2 Class Hours/Week   Language on Instruction E : English
Course Level 5 : Graduate Basic
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 25 : Integrated Engineering
Eligible Students  
Keywords Optimal design, Mathematical programming, Numerical method 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
 
Criterion referenced
Evaluation
 
Class Objectives
/Class Outline
Learning the basic theory of optimization which is necessary to utilize commercial softwares. 
Class Schedule Introduction, Basic of programming
Convexity of problems
Optimality criteria
Saddle point, KKT conditions, Duality
Linear programming 1
Linear programming 2
Gradient method for unconstraint nonlinear problem (Part 1):Steepest descent method etc.
Gradient method for unconstraint nonlinear problem (Part 2):Newton’s method etc.
Gradient method for constraint nonlinear problem (Part 1):Indirect methods
Gradient method for constraint nonlinear problem (Part 2):Direct methods
Modeling method for structural optimiztion
Basics of metamodeling (Response surface method)
Applications of  metamodeling (Response surface method)
Application
Application

Some reports. 
Text/Reference
Books,etc.
Important documents for class will be distributed. 
PC or AV used in
Class,etc.
Blackboard and PC 
Suggestions on
Preparation and
Review
For lecture 1-15:
This lecture doesn't support fundamental programming techniques. Please study it by yourself. 
Requirements Elementary knowledge of optimization is required
 
Grading Method Attendance and report 
Message  
Other   
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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