Academic Year |
2025Year |
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) |
Face-to-face |
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 System management with Linux lesson2 Server configuration on AWS
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 Data visualization lesson8 Exercise |
Text/Reference Books,etc. |
The materials will be provided in the lecture. |
PC or AV used in Class,etc. |
Handouts, Audio Materials, Visual Materials, Microsoft Teams, moodle |
(More Details) |
|
Learning techniques to be incorporated |
Discussions, Project Learning |
Suggestions on Preparation and Review |
Lesson 1: Lean the system management on Linux. Please study the fundamental commands on Linux by yourself. Lesson 2: Configuration of a server on AWS. The knowledge of network and security is required. Please prepare 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 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 |
Grades will be based on your work in the lectures as well as the programs and systems you create for your assignments. |
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. |