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 Informatics and Data Science Program
Lecture Code WSN23001 Subject Classification Specialized Education
Subject Name AIOps演習B(システム開発系)
Subject Name
(Katakana)
エーアイオプスエンシュウビー(システムカイハツケイ)
Subject Name in
English
AIOps Lab B
Instructor OKAMURA HIROYUKI
Instructor
(Katakana)
オカムラ ヒロユキ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  Intensive
Days, Periods, and Classrooms (Int) Inte
Lesson Style Seminar Lesson Style
(More Details)
 
Exercise 
Credits 1.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 7 : Graduate Special Studies
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students The graduate students who resister AIOps engineer training program
Keywords Linux, Cloud, Git/GitHub, Docker, IoT 
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
The purpose of this class is to learn the skills on AIOps system development 
Class Schedule lesson1 Server configuration on AWS
lesson2 System management with Linux
lesson3 Configuration management with Git/GitHub
lesson4 Micro-services with Docker
lesson5 Data collection with IoT devices; Part 1
lesson6 Data collection with IoT devices; Part 2
lesson7 Exercise 1
lesson8 Exercise 2. Final presentation 
Text/Reference
Books,etc.
The materials will be provided in the lecture. 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Lesson 1: Configuration of a server on AWS. The knowledge of network and security is required. Please prepare by yourself.
Lesson 2: Lean the system management on Linux. Please study the fundamental commands on Linux by yourself.
Lesson 3: Learn the configuration management with Git/GitHub. Please check the fundamental operations on Git/GitHub by yourself.
Lesson 4: Lean the micro-services with Docker. Please study the fundamental operation on Docker by yourself.
Lessons 5 and 6: Develop the data collection system with IoT devices. Please check the fundamental knowledge on electric circuits by yourself.
Lessons 7 and 8: A team develops a system with IoT devices based on your ideas.
 
Requirements This lecture is required by AIOps engineer training program. The students who do not take this lecture may not take "Internship" in AIOps engineer training program.

The lecture will be conducted during four days. The date on lecture will be announced through Momiji.

Practice in teams of 2 to 3 people throughout the lecture. 
Grading Method Evaluate the final presentation. 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other From September 3 to September 6 
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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