KA237001 Informatics and Data Science Exercise III

Hiroshima University Syllabus

Japanese

Academic Year 2026Year School/Graduate School School of Informatics and Data Science

Lecture Code KA237001 Subject Classification Specialized Education

Subject Name 情報科学演習III（計算機科学プログラム）

Subject Name
（Katakana）ジョウホウカガクエンシュウ３（ケイサンキカガクプログラム）

Subject Name in
English Informatics and Data Science Exercise III

Instructor VICTOR PARQUE,ZHENG JUNJUN

Instructor
(Katakana) ヴィクター　パルケ,テイ　シュンシュン

Campus Higashi-Hiroshima Semester/Term 3rd-Year,  Second Semester,  3Term

Days, Periods, and Classrooms (3T) Mon5-7：IMC-Main 2F PC Rm

Lesson Style Seminar Lesson Style
(More Details) Face-to-face

Exercise

Credits 1.0 Class Hours/Week 3 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 3rd Year student

Keywords Programing, Web Application Development, Container Technology, Digital Circuit Design, FPGA

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.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.
・D3. Knowledge of hardware and software and programming ability to process data efficiently.

Data Science Program
（Knowledge and Understanding）
・D1. Knowledge and ability to understand the theoretical framework of statistics and data analysis and to analyze qualitative/quantitative information of big data accurately and efficiently.
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.

Intelligence Science Program
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.
（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 exercise will include two themes based on the knowledge learned through Informatics and Data Science, and Exercises I-II.  The goal is to acquire the ability to find a solution to a given exercise or problem, address it, and report the results.

Class Schedule Lesson1 Guidance

Lesson2 to Lesson7
　Hands on exercises on two different topics, three weeks each.

* Topic 1: Web Application Development (Zheng)
    1. Container Technology
    2. Web Application Development 1
    3. Web Application Development2

* Topic 2: Digital Circuit Design (Victor Parque)
    1. FPGA Programming, Combinational Circuit Design, Verilog HDL
    2. Flip-Flops, Counters, 7-Segment Display
    3. Pulse Width Modulation, Chattering Removal

Report on each topic.

Text/Reference
Books,etc. Handouts

Reference: Digital Circuit Design
Introduction to Digital Circuit Design
by Koji Nakano and Yasuro Ito, Corona, ISBN: 978-4-339-00943-9

PC or AV used in
Class,etc. Handouts

(More Details) Handouts, PC (including BYOD)

Learning techniques to be incorporated PBL (Problem-based Learning)/ TBL (Team-based Learning), Post-class Report

Suggestions on
Preparation and
Review (Topic 1) Web Application Development.
Part 1: Check container technology in advance (Docker purpose, image vs. container, Dockerfile).
Part 2: Check the basic architecture of web applications in advance (front-end, back-end, database, HTTP basics, GET/POST).
Part 3: Check web application–database integration in advance (REST API, CRUD operations, backend–database relationship).

(Topic 2) Digital Circuit Design.
Overall: Review the contents of the distribution materials and the lecture "Digital Circuit Design"

Requirements ・Submit all the reports in due time.
・Review the contents of the lecture "Digital Circuit Design".

Grading Method Students will be comprehensively evaluated with the report assignments (more than 60 points) for each topic.

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.

Academic Year	2026Year	School/Graduate School	School of Informatics and Data Science
Lecture Code	KA237001	Subject Classification	Specialized Education
Subject Name	情報科学演習III（計算機科学プログラム）
Subject Name （Katakana）	ジョウホウカガクエンシュウ３（ケイサンキカガクプログラム）
Subject Name in English	Informatics and Data Science Exercise III
Instructor	VICTOR PARQUE,ZHENG JUNJUN
Instructor (Katakana)	ヴィクター　パルケ,テイ　シュンシュン
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, Second Semester, 3Term
Days, Periods, and Classrooms	(3T) Mon5-7：IMC-Main 2F PC Rm
Lesson Style	Seminar	Lesson Style (More Details)	Face-to-face
Exercise
Credits	1.0	Class Hours/Week	3	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	3rd Year student
Keywords	Programing, Web Application Development, Container Technology, Digital Circuit Design, FPGA
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. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. ・D3. Knowledge of hardware and software and programming ability to process data efficiently. Data Science Program （Knowledge and Understanding）・D1. Knowledge and ability to understand the theoretical framework of statistics and data analysis and to analyze qualitative/quantitative information of big data accurately and efficiently. （Abilities and Skills）・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. Intelligence Science Program （Abilities and Skills）・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. （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 exercise will include two themes based on the knowledge learned through Informatics and Data Science, and Exercises I-II. The goal is to acquire the ability to find a solution to a given exercise or problem, address it, and report the results.
Class Schedule	Lesson1 Guidance Lesson2 to Lesson7 　Hands on exercises on two different topics, three weeks each. * Topic 1: Web Application Development (Zheng) 1. Container Technology 2. Web Application Development 1 3. Web Application Development2 * Topic 2: Digital Circuit Design (Victor Parque) 1. FPGA Programming, Combinational Circuit Design, Verilog HDL 2. Flip-Flops, Counters, 7-Segment Display 3. Pulse Width Modulation, Chattering Removal Report on each topic.
Text/Reference Books,etc.	Handouts Reference: Digital Circuit Design Introduction to Digital Circuit Design by Koji Nakano and Yasuro Ito, Corona, ISBN: 978-4-339-00943-9
PC or AV used in Class,etc.	Handouts
(More Details)	Handouts, PC (including BYOD)
Learning techniques to be incorporated	PBL (Problem-based Learning)/ TBL (Team-based Learning), Post-class Report
Suggestions on Preparation and Review	(Topic 1) Web Application Development. Part 1: Check container technology in advance (Docker purpose, image vs. container, Dockerfile). Part 2: Check the basic architecture of web applications in advance (front-end, back-end, database, HTTP basics, GET/POST). Part 3: Check web application–database integration in advance (REST API, CRUD operations, backend–database relationship). (Topic 2) Digital Circuit Design. Overall: Review the contents of the distribution materials and the lecture "Digital Circuit Design"
Requirements	・Submit all the reports in due time. ・Review the contents of the lecture "Digital Circuit Design".
Grading Method	Students will be comprehensively evaluated with the report assignments (more than 60 points) for each topic.
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.

Back to syllabus main page