WSN30301 Special Lecture on Informatics and Data Science C

Hiroshima University Syllabus

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 WSN30301 Subject Classification Specialized Education

Subject Name 情報科学特別講義C

Subject Name
（Katakana）ジョウホウカガクトクベツコウギシー

Subject Name in
English Special Lecture on Informatics and Data Science C

Instructor See the class timetable.

Instructor
(Katakana) ジュギョウジカンワリヲサンショウ

Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  Intensive

Days, Periods, and Classrooms (Int) Inte

Lesson Style Lecture Lesson Style
(More Details) 　

lecture, practice and group discussion

Credits 1.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 6 : Graduate Advanced

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 02 : Information Science

Eligible Students

Keywords Marketing, Business Model,  Development and Verification of computing and network systems in bigdata era

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 Currently, many ICT (Information and Communication technologies) contribute out efficient life. In addition, a lot of new technologies are developed to realize to solve various problems. For example, AI (Artifical Intelligence), post Moore computing, data analysis, 5G, quantum computing and etc.
This lecture presents about new technologies in AI age from the viewpoints of the concepts, how to use, effectiveness, use cases and etc.  To success competitions, this lecture presents business model, standardization and patent.

Class Schedule 1 ICT Systems in AI age
2 IoT Systems
3 Data analysis
4 Computing systems in Post Moore’s law
5 Quantum Computing
6 The next internet and 5/6G
7 ICT and Logical Thinking
The order of the items might be changed to keep the lecture schedule.

Text/Reference
Books,etc. None. Use my documents

PC or AV used in
Class,etc. 　

(More Details) PC

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Students should attend all classes because I give practices at each class.
Reporting in English is acceptable.

Requirements

Grading Method Evaluation by attendance and practice

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message Scheduled class dates: July 20th (Sat) and Aug. 3rd (Sat). 2 days lecture.

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.

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	WSN30301	Subject Classification	Specialized Education
Subject Name	情報科学特別講義C
Subject Name （Katakana）	ジョウホウカガクトクベツコウギシー
Subject Name in English	Special Lecture on Informatics and Data Science C
Instructor	See the class timetable.
Instructor (Katakana)	ジュギョウジカンワリヲサンショウ
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, First Semester, Intensive
Days, Periods, and Classrooms	(Int) Inte
Lesson Style	Lecture	Lesson Style (More Details)
lecture, practice and group discussion
Credits	1.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	6 : Graduate Advanced
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	02 : Information Science
Eligible Students
Keywords	Marketing, Business Model, Development and Verification of computing and network systems in bigdata era
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	Currently, many ICT (Information and Communication technologies) contribute out efficient life. In addition, a lot of new technologies are developed to realize to solve various problems. For example, AI (Artifical Intelligence), post Moore computing, data analysis, 5G, quantum computing and etc. This lecture presents about new technologies in AI age from the viewpoints of the concepts, how to use, effectiveness, use cases and etc. To success competitions, this lecture presents business model, standardization and patent.
Class Schedule	1 ICT Systems in AI age 2 IoT Systems 3 Data analysis 4 Computing systems in Post Moore’s law 5 Quantum Computing 6 The next internet and 5/6G 7 ICT and Logical Thinking The order of the items might be changed to keep the lecture schedule.
Text/Reference Books,etc.	None. Use my documents
PC or AV used in Class,etc.
(More Details)	PC
Learning techniques to be incorporated
Suggestions on Preparation and Review	Students should attend all classes because I give practices at each class. Reporting in English is acceptable.
Requirements
Grading Method	Evaluation by attendance and practice
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message	Scheduled class dates: July 20th (Sat) and Aug. 3rd (Sat). 2 days lecture.
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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