Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Mechanical Engineering Program
Lecture Code WSH21001 Subject Classification Specialized Education
Subject Name 自律システム工学特論
Subject Name
(Katakana)
ジリツシステムコウガクトクロン
Subject Name in
English
Bio-inspired Machine Intelligence
Instructor OOKURA KAZUHIRO
Instructor
(Katakana)
オオクラ カズヒロ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Mon1-4:ENG 106
Lesson Style Lecture Lesson Style
(More Details)
 
Lecture 
Credits 2.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 5 : Graduate Basic
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 09 : Mechanical Engineering
Eligible Students Graduate students
Keywords Autonomous Distributed Systems, Computational Intelligence, Machine Intelligence,  Swarm Intelligence 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
 
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
 
Class Objectives
/Class Outline
Understanding advance topics in autonomous systems engineering
 
Class Schedule lesson1 Introduction to Advanced Autonomous Systems Engineering
lesson2 Artificial Life
lesson3 Evolutionary Computation: Basics
lesson4 Evolutionary Computation: Genetic Algorithms
lesson5 Evolutionary Computation: Evolution Strategies, Evolutionary Programming
lesson6 Evolutionary Robotics: Background
lesson7 Evolutionary Robotics: Trend
lesson8 Reinforcement Learning: Background
lesson9 Reinforcement Learning: Trend
lesson10 Multi-Agent Systems
lesson11 Swarm Intelligence: Background
lesson12 Swarm Intelligence: Trend
lesson13 Swarm Robotics: Background
lesson14 Swarm Robotics: Trend
lesson15 Summary

Essays  
Text/Reference
Books,etc.
Handout materials  
PC or AV used in
Class,etc.
 
(More Details) Projector  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Check the handout materials, articles and web sites which will be introduced in the lecture   
Requirements  
Grading Method Overall evaluation of essays and attitude  
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other The maximal number of students will be set at 70.  
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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