KA238101 Software Engineering I

Hiroshima University Syllabus

Japanese

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

Lecture Code KA238101 Subject Classification Specialized Education

Subject Name ソフトウェア工学I

Subject Name
（Katakana）ソフトウェアコウガク１

Subject Name in
English Software Engineering I

Instructor OKAMURA HIROYUKI

Instructor
(Katakana) オカムラ　ヒロユキ

Campus Higashi-Hiroshima Semester/Term 3rd-Year, First Semester, 2Term

Days, Periods, and Classrooms (2T) Mon5-8：ENG 107

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

Lecture & practice

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 Third-year students

Keywords Software engineering, development processes, design, quality assurance, testing, configuration management, software maintenance.

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) Goals of this lecture are
(1) learn the knowledge on software development process
(2) learn the knowledge on software design
(3) learn the skill on modeling that is necessary for software design
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) Computer Science Program
（Comprehensive Abilities）
・D2. Ability to derive optimal system solutions based on abundant cutting-edge information technologies for cross-sectoral issues in a diversified and complicated information society.

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
（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 In this course, students will systematically learn the processes involved in software development, from development to operation and maintenance. The course covers fundamental concepts of software development, including development processes, design methods, quality assurance, configuration management, and secure coding.

Class Schedule Week 1 (Lecture 1–2)
Overview of Software Engineering / Software Development Processes
Week 2 (Lecture 3–4)
Requirements Definition / Modeling Languages
Week 3 (Lecture 5–6)
Object-Oriented Programming / Class Diagrams
Week 4 (Lecture 7–8)
Object-Oriented Design / Design Patterns
Week 5 (Lecture 9–10)
Software Architecture / Module Design / Refactoring
Week 6 (Lecture 11–12)
Software Quality / Software Construction / Coding Standards / Secure Coding / Version Control
Week 7 (Lecture 13–14)
Software Testing / Test Design / Testability / Automated Testing
Week 8 (Lecture 15)
Other Topics in Software Engineering

Reports and Final Examinations

Text/Reference
Books,etc. Basic (minimal necessary) materials are distributed as electronic files through LMS

PC or AV used in
Class,etc. Handouts, Microsoft Teams, Other (see [More Details])

(More Details) Visual Studio Code

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

Suggestions on
Preparation and
Review Lectures 1–2
Understand the overall picture of software development and be able to compare the characteristics of representative development processes (e.g., waterfall and agile).

Lectures 3–4
Understand the role of requirements definition and review the basic concepts of modeling languages (UML) and how to read diagrams.

Lectures 5–6
Organize the main concepts of object-oriented programming (such as classes, inheritance, and polymorphism) and understand the basic notation of class diagrams.

Lectures 7–8
Understand the principles of object-oriented design and consider the purpose and appropriate use cases of typical design patterns.

Lectures 9–10
Review the fundamentals of software architecture and module design, and understand the purpose and benefits of refactoring.

Lectures 11–12
Understand software quality perspectives and review the basics of coding standards, secure coding, and version control.

Lectures 13–14
Organize the types and purposes of software testing and understand the basic concepts of test design and test automation.

Lecture 15
Review related topics in software engineering and consider how to apply them to future learning and practice.

Requirements This course assumes at least a basic understanding of programming, including:
• Basic syntax of C, Java, or Python
• Variables and data types (e.g., int, float, string, list)
• Control structures (if, for, while)
• Function definitions and calls (parameters, return values)
• Basic data structures such as arrays and lists

This course will be conducted in Japanese.

Grading Method Grades will be determined based on assignments (50 points) and the final exam (50 points). A passing grade is awarded only if all the following conditions are met:
1. The assignment score is at least 25 out of 50 points.
2. The final exam score is at least 25 out of 50 points.
3. The total score (assignments + final exam) is at least 60 out of 100 points.

Failure to meet any of the above conditions will result in a failing grade. Additionally, missing any assignments may result in failure, even if the total score meets the requirements.

Practical Experience Experienced

Summary of Practical Experience and Class Contents based on it Software development

Message - It is encouraged that students actively ask questions to the teacher and assistants.
- Please bring your laptop PC.

Other The following topics will be covered in the lectures, but prior exposure will help with smoother understanding:
1. Basics of Object-Oriented Programming (Optional but Helpful)
• Concept of classes and instances
• Using class in Python/Java
• Defining and calling methods in Python/Java

Although prior study of object-oriented programming is helpful, the topic will be covered in the course, so prior knowledge is not required. However, students are expected to be familiar with basic programming syntax.

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	KA238101	Subject Classification	Specialized Education
Subject Name	ソフトウェア工学I
Subject Name （Katakana）	ソフトウェアコウガク１
Subject Name in English	Software Engineering I
Instructor	OKAMURA HIROYUKI
Instructor (Katakana)	オカムラ　ヒロユキ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, First Semester, 2Term
Days, Periods, and Classrooms	(2T) Mon5-8：ENG 107
Lesson Style	Lecture	Lesson Style (More Details)	Face-to-face
Lecture & practice
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	Third-year students
Keywords	Software engineering, development processes, design, quality assurance, testing, configuration management, software maintenance.
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)	Goals of this lecture are (1) learn the knowledge on software development process (2) learn the knowledge on software design (3) learn the skill on modeling that is necessary for software design
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	Computer Science Program （Comprehensive Abilities）・D2. Ability to derive optimal system solutions based on abundant cutting-edge information technologies for cross-sectoral issues in a diversified and complicated information society. 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 （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	In this course, students will systematically learn the processes involved in software development, from development to operation and maintenance. The course covers fundamental concepts of software development, including development processes, design methods, quality assurance, configuration management, and secure coding.
Class Schedule	Week 1 (Lecture 1–2) Overview of Software Engineering / Software Development Processes Week 2 (Lecture 3–4) Requirements Definition / Modeling Languages Week 3 (Lecture 5–6) Object-Oriented Programming / Class Diagrams Week 4 (Lecture 7–8) Object-Oriented Design / Design Patterns Week 5 (Lecture 9–10) Software Architecture / Module Design / Refactoring Week 6 (Lecture 11–12) Software Quality / Software Construction / Coding Standards / Secure Coding / Version Control Week 7 (Lecture 13–14) Software Testing / Test Design / Testability / Automated Testing Week 8 (Lecture 15) Other Topics in Software Engineering Reports and Final Examinations
Text/Reference Books,etc.	Basic (minimal necessary) materials are distributed as electronic files through LMS
PC or AV used in Class,etc.	Handouts, Microsoft Teams, Other (see [More Details])
(More Details)	Visual Studio Code
Learning techniques to be incorporated	PBL (Problem-based Learning)/ TBL (Team-based Learning), Post-class Report
Suggestions on Preparation and Review	Lectures 1–2 Understand the overall picture of software development and be able to compare the characteristics of representative development processes (e.g., waterfall and agile). Lectures 3–4 Understand the role of requirements definition and review the basic concepts of modeling languages (UML) and how to read diagrams. Lectures 5–6 Organize the main concepts of object-oriented programming (such as classes, inheritance, and polymorphism) and understand the basic notation of class diagrams. Lectures 7–8 Understand the principles of object-oriented design and consider the purpose and appropriate use cases of typical design patterns. Lectures 9–10 Review the fundamentals of software architecture and module design, and understand the purpose and benefits of refactoring. Lectures 11–12 Understand software quality perspectives and review the basics of coding standards, secure coding, and version control. Lectures 13–14 Organize the types and purposes of software testing and understand the basic concepts of test design and test automation. Lecture 15 Review related topics in software engineering and consider how to apply them to future learning and practice.
Requirements	This course assumes at least a basic understanding of programming, including: • Basic syntax of C, Java, or Python • Variables and data types (e.g., int, float, string, list) • Control structures (if, for, while) • Function definitions and calls (parameters, return values) • Basic data structures such as arrays and lists This course will be conducted in Japanese.
Grading Method	Grades will be determined based on assignments (50 points) and the final exam (50 points). A passing grade is awarded only if all the following conditions are met: 1. The assignment score is at least 25 out of 50 points. 2. The final exam score is at least 25 out of 50 points. 3. The total score (assignments + final exam) is at least 60 out of 100 points. Failure to meet any of the above conditions will result in a failing grade. Additionally, missing any assignments may result in failure, even if the total score meets the requirements.
Practical Experience	Experienced
Summary of Practical Experience and Class Contents based on it	Software development
Message	- It is encouraged that students actively ask questions to the teacher and assistants. - Please bring your laptop PC.
Other	The following topics will be covered in the lectures, but prior exposure will help with smoother understanding: 1. Basics of Object-Oriented Programming (Optional but Helpful) • Concept of classes and instances • Using class in Python/Java • Defining and calling methods in Python/Java Although prior study of object-oriented programming is helpful, the topic will be covered in the course, so prior knowledge is not required. However, students are expected to be familiar with basic programming syntax.
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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