KA238001 Informatics and Data Science Exercise IV

Hiroshima University Syllabus

Japanese

Academic Year 2025Year School/Graduate School School of Informatics and Data Science

Lecture Code KA238001 Subject Classification Specialized Education

Subject Name 情報科学演習IV（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４

Subject Name in
English Informatics and Data Science Exercise IV

Instructor KONDO TOHRU,ZHENG JUNJUN,DING YEPENG

Instructor
(Katakana) コンドウ　トオル,テイ　シュンシュン,テイ　ヨウホウ

Campus Higashi-Hiroshima Semester/Term 3rd-Year,  Second Semester,  4Term

Days, Periods, and Classrooms (4T) Fri5-7：IMC-Main 2F Seminar 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

Keywords Cybersecurity, Software Engineering

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) This course belongs to the specialized education subjects of the Department of Information Science. By using the knowledge of security and software acquired in previous classes to solve problems, students will not only deepen their understanding of these concepts but also develop problem-solving skills.
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 includes two themes based on the knowledge learned through Informatics and data science, Exercises I-III.  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.

* Topic1 Cybersecurity Exercises
Review basic knowledge of security related to OS, networks, and the web, and practice attack and defense techniques using systems with vulnerabilities.
    1. OS Security
    2. Network Security
    3. Web Security

* Topic2 Software Development
Learn about version control, deployment techniques using containers, and other aspects of software development.
    1. Version Control
    2. Container Technology
    3. Web Application Development

Text/Reference
Books,etc. handouts

PC or AV used in
Class,etc.

(More Details) handouts, PC (including BYOD)

Learning techniques to be incorporated

Suggestions on
Preparation and
Review (Topic 1) Cybersecurity Exercises
1. Research the basic commands for Linux and Windows.
2. Review the basic operations of Wireshark.
3. Study the basic knowledge of HTML and JavaScript, especially DOM manipulation and escaping special characters.

(Topic 2) Software Development
1. Research the basic Git commands in the provided materials in advance.
2.  Research the overview of Docker in the provided materials in advance.
3. Research the basic concepts of web applications (the roles of frontend, backend, and databases) and REST APIs in the provided materials in advance.

Requirements - Submit assignments for all themes by the deadline.
- Comply with all laws and university regulations related to information security.
- Review the basics of Python programming.
- Review the basics of databases.
- Since exercises will be conducted in pairs or groups, actively engage in communication.

Grading Method Evaluation based on a comprehensive assessment of each exercise (60 points or higher) and the exam results (60 points or higher).

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	2025Year	School/Graduate School	School of Informatics and Data Science
Lecture Code	KA238001	Subject Classification	Specialized Education
Subject Name	情報科学演習IV（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４
Subject Name in English	Informatics and Data Science Exercise IV
Instructor	KONDO TOHRU,ZHENG JUNJUN,DING YEPENG
Instructor (Katakana)	コンドウ　トオル,テイ　シュンシュン,テイ　ヨウホウ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, Second Semester, 4Term
Days, Periods, and Classrooms	(4T) Fri5-7：IMC-Main 2F Seminar 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
Keywords	Cybersecurity, Software Engineering
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)	This course belongs to the specialized education subjects of the Department of Information Science. By using the knowledge of security and software acquired in previous classes to solve problems, students will not only deepen their understanding of these concepts but also develop problem-solving skills.
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 includes two themes based on the knowledge learned through Informatics and data science, Exercises I-III. 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. * Topic1 Cybersecurity Exercises Review basic knowledge of security related to OS, networks, and the web, and practice attack and defense techniques using systems with vulnerabilities. 1. OS Security 2. Network Security 3. Web Security * Topic2 Software Development Learn about version control, deployment techniques using containers, and other aspects of software development. 1. Version Control 2. Container Technology 3. Web Application Development
Text/Reference Books,etc.	handouts
PC or AV used in Class,etc.
(More Details)	handouts, PC (including BYOD)
Learning techniques to be incorporated
Suggestions on Preparation and Review	(Topic 1) Cybersecurity Exercises 1. Research the basic commands for Linux and Windows. 2. Review the basic operations of Wireshark. 3. Study the basic knowledge of HTML and JavaScript, especially DOM manipulation and escaping special characters. (Topic 2) Software Development 1. Research the basic Git commands in the provided materials in advance. 2. Research the overview of Docker in the provided materials in advance. 3. Research the basic concepts of web applications (the roles of frontend, backend, and databases) and REST APIs in the provided materials in advance.
Requirements	- Submit assignments for all themes by the deadline. - Comply with all laws and university regulations related to information security. - Review the basics of Python programming. - Review the basics of databases. - Since exercises will be conducted in pairs or groups, actively engage in communication.
Grading Method	Evaluation based on a comprehensive assessment of each exercise (60 points or higher) and the exam results (60 points or higher).
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.

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