Hiroshima University Syllabus

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Academic Year 2022Year School/Graduate School Common Graduate Courses (Doctoral Course)
Lecture Code 8E550202 Subject Classification Common Graduate Courses
Subject Name パターン認識と機械学習
Subject Name
Subject Name in
Pattern Recognition and Machine Learning
Instructor AKASE DAI
アカセ ダイ
Campus Across Campuses (videoconferencing, etc.) Semester/Term 1st-Year,  Second Semester,  4Term
Days, Periods, and Classrooms (4T) Inte:Online
Lesson Style Lecture Lesson Style
(More Details)
Video Lecture 
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 5 : Graduate Basic
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students
Keywords machine learning, deep learning, python 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
This course is one of the elective subjects, in "Career Development and Data Literacy Courses", Common Graduate Courses that aims to learn about the development of the current social systems, to gain knowledge needed for the future, to specifically tackle the challenges facing modern society and to acquire the ability to use knowledge and skills. 
Criterion referenced
Class Objectives
/Class Outline
This course offers students the opportunity to learn machine learning to do python exercises. 
Class Schedule Introduction
Machine Learning
Supervised Learning
Unsupervised Learning
Deep Learning
Reinforcement Learning

Not Specified. 
PC or AV used in
(More Details) Lecture Videos 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Students can view lecture videos any time. 
Grading Method Assignments 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
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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