| Academic Year |
2025Year |
School/Graduate School |
School of Informatics and Data Science |
| Lecture Code |
KA240501 |
Subject Classification |
Specialized Education |
| Subject Name |
IoT概論 |
Subject Name
（Katakana） |
アイオーティーガイロン |
Subject Name in
English |
Introduction to IoT |
| Instructor |
LI MENGMOU |
Instructor
(Katakana) |
リ メンモ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Mon5-8：ECON B257 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face, Online (simultaneous interactive) |
| 講義 |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
B
:
Japanese／English |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
|
| 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) | Computer Science Program
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
Data Science Program
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
Intelligence Science Program
（Abilities and Skills）
・D2. Information processing ability and data analysis ability to contribute to the application and development of artificial intelligence and IoT.
（Comprehensive Abilities）
・D3. Ability to grasp complexly intertwined social needs and issues from a bird's-eye view and solve issues with a multifaceted perspective and analytical ability based on a wide range of knowledge in intelligent science. |
|---|
Class Objectives
/Class Outline |
This course aims to introduce the fundamentals of IoT to students, covering technical and application aspects, and to lay a foundation for subsequent IoT-related studies or projects. |
| Class Schedule |
lesson1 Introduction to IoT systems part 1
lesson2 Introduction to IoT systems part 2
lesson3 IoT Components & Basic Embedded Programming part 1
lesson4 IoT Components & Basic Embedded Programming part 2
lesson5 Communication Protocols & Networking Basics part 1
lesson6 Communication Protocols & Networking Basics part 2
lesson7 Data Processing & Cloud Integration part 1
lesson8 Data Processing & Cloud Integration part 2
lesson9 IoT Security & Privacy part 1
lesson10 IoT Security & Privacy part 2
lesson11 Advanced IoT Topics part 1
lesson12 Advanced IoT Topics part 2
lesson13 Advanced IoT Topics part 3
lesson14 Advanced IoT Topics part 4
lesson15 Final Project
Test and Final project |
Text/Reference
Books,etc. |
References will be distributed during the course. |
PC or AV used in
Class,etc. |
Text, Handouts, Microsoft Teams, moodle |
| (More Details) |
Please bring your own PC. |
| Learning techniques to be incorporated |
Discussions, Project Learning |
Suggestions on
Preparation and
Review |
It is recommended to have basic knowledge of C/C++ and Python. |
| Requirements |
|
| Grading Method |
Final grade will be based on test and final project. |
| 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. |