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 WSH21101 Subject Classification Specialized Education
Subject Name Advanced Autonomous Systems Engineering
Subject Name
(Katakana)
アドバンスド オータナマス システムズ エンジニアリング
Subject Name in
English
Advanced Autonomous Systems Engineering
Instructor OOKURA KAZUHIRO
Instructor
(Katakana)
オオクラ カズヒロ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Weds5-8:ENG 113
Lesson Style Lecture Lesson Style
(More Details)
 
Lecture  
Credits 2.0 Class Hours/Week   Language of Instruction E : English
Course Level 6 : Graduate Advanced
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 09 : Mechanical Engineering
Eligible Students Graduate students
Keywords Bio-inspired intelligence, autonomous systems, adaptive systems, machine 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
Obtain the emerging technologies in the field of autonomous systems  
Class Schedule lesson1 Introduction to autonomous systems engineering
lesson2 Overview of autonomous systems engineering
lesson3 Evolutionary systems (1)
lesson4 Evolutionary systems (2)
lesson5 Cellular systems (1)
lesson6 Cellular systems (2)
lesson7 Neural Networks (1)
lesson8 Neural Networks (2)
lesson9 Developmental systems (1)
lesson10 Developmental systems (2)
lesson11 Behavioral systems (1)
lesson12  Behavioral systems (2)
lesson13 Collective systems (1)
lesson14 Collective systems (2)
lesson15 Summary

essays  
Text/Reference
Books,etc.
Bio-Insipred Artificial Intelligence, Dario Floreano and Claudio Mattiussi, MIT Press, 2008
Behavioral and Cognitive Robotics: An adaptive perspective, Stefano Nolfi, 2021
https://bacrobotics.com/  
PC or AV used in
Class,etc.
 
(More Details) Projector 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Read the textbooks and several important papers mentioned in the classes 
Requirements Bring your own laptop
 
Grading Method The quality of essays 80%,  the attitude 20%  
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
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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