KA234001 Research Project

Hiroshima University Syllabus

Japanese

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

Lecture Code KA234001 Subject Classification Specialized Education

Subject Name プロジェクト研究

Subject Name
（Katakana）プロジェクトケンキュウ

Subject Name in
English Research Project

Instructor MUKAIDANI HIROAKI,RAYTCHEV BISSER ROUMENOV,IWAMOTO CHUZO

Instructor
(Katakana) ムカイダニ　ヒロアキ,ライチェフ　ビセル　ルメノフ,イワモト　チュウゾウ

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

Days, Periods, and Classrooms (Int) Inte

Lesson Style Practical Lesson Style
(More Details) Face-to-face, Online (simultaneous interactive)

This course is an internship-type course held during five days in the summer vacation and gives a practical experience of the research/development conducted
in industry to students.

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 4 : Undergraduate Advanced

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 02 : Information Science

Eligible Students Third Year Students. This lecture is for School of Informatics and Data Science students only. Students from other faculties cannot take this course.

Keywords Internship type lecture, work experience
It is divided into the following three themes.

Theme 1. Mobile application, Web API, SQL
Theme 2. image analysis, anomaly detection, deep learning
Theme 3. Semiconductor manufacturing
Theme 4. Local issues, Design thinking, UI/UX
Theme 5. Hot rolling mill, automatic control

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
（Knowledge and Understanding）
・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture.

Data Science Program
（Knowledge and Understanding）
・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture.

Intelligence Science Program
（Knowledge and Understanding）
・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture.

Class Objectives
/Class Outline This is an internship-style course (intensive course) that utilizes five consecutive days during the summer vacation to participate in research and development projects implemented by companies.

In the 2025 academic year, students will participate in projects in computer science (system development), data science (data analysis), and intelligence science (AI field) at Mazda Motor Corporation, Micron Memory Japan, Inc., TOPPAN Digital Corporation ICT KŌBŌ MIYAJIMA, Higashihiroshima City Hall, and Primetals Technologies Japan. Through this course, students will not only be exposed to the actual research and development being carried out in companies, but also aim to acquire a wide range of abilities required in real companies, such as skills to solve problems, methodologies for carrying out research and development, and the ability to report and present results.

The course will be divided into the following five themes.

Theme 1. The goal is to solve business issues of private companies using machine learning.
Assuming that private companies will use AI to improve business efficiency and reduce workload, various machine learning methods will be applied to data used in business. By repeatedly selecting machine learning methods, preprocessing data, building and training models, and evaluating them, a highly accurate algorithm will be developed. Finally, the results will be summarized and discussed.

Theme 2. Information technology is essential for cutting-edge semiconductor manufacturing. Participants will be divided into groups, and each group will seek optimal solutions for a case of their choice, such as factory automation program consideration, data conversion of equipment operating rates, and wafer anomaly detection, under the guidance of an engineer in charge, and will summarize and present the results.

Theme 3. Participants will take up various issues related to ICT in the region and tackle the issues through mockup production and presentation material creation. In particular, through outdoor activities (fieldwork), participants will confirm the importance of knowing the field and acquire skills that can contribute to regional revitalization. On the final day, a presentation of results will be held and each participant will evaluate and consider each other's results.

Theme 4. Participants will think about the system they want to develop and experience the process of defining requirements during system development. Specifically, in order to promote digital transformation in local government operations, participants will learn about the problems faced by local governments, listen to the voices of the field, and understand the current situation. Each participant will explain to others in their own words what kind of system is needed, its image, problems, etc. Establish the specifications and operation methods of the system they want to realize, create a design document with an outline of the service, and finally make a presentation in their group.

Theme 5. Students will gain experience in designing programs for systems associated with iron, an important material that serves as the foundation of industry, and the machines that manufacture steel products (steel-making machines), as well as designing programs for physical calculation models that simulate the shapes of steel products. By experiencing the design of systems that control machines and the programming languages used in physical calculation models, students will broaden their horizons and knowledge of fields that they would not otherwise come into contact with during their student lives, and by experiencing actual system design work, they will gain an understanding of what corporate work is like. Students will be divided into groups based on themes and will carry out their practical training, writing reports on their experiences and the knowledge they have gained, and finally making group presentations.

Class Schedule Over the five days of sessions 1-3, 4-6, 7-9, 10-12, and 13-15, there will be guidance, lectures,
project assignment explanations, project assignment execution, results organization and discussion, and presentations of results.

Divided into three themes (themes 1. to 5.).
1. Mazda Motor Corporation
Theme 1.: Project research (Application of machine learning to manufacturing sites). Person in charge: Saida Satoko
We will hold an information session and lecture to help participants get to know our company, as well as lectures and exercises.

Day 1: Orientation, company introduction, lectures on machine learning elemental technologies
Day 2: Practical training on machine learning
Day 3: Practical training on machine learning
Day 4: Practical training on machine learning
Day 5: Preparation of presentation materials, results presentation

In addition, the following events will be included on each day.・Company explanation/headquarters explanation
・Roundtable discussion with young employees
・Visit to Mazda Museum

2. Micron Memory Japan
Theme 3. Learn about the use of information technology (IT) in cutting-edge semiconductor manufacturing.

Learn about the use of information technology in cutting-edge semiconductor manufacturing using the following case studies.

1. Examination of an automatic transport program for semiconductor silicon wafers
2. Visualize equipment operating rates in a fully automated production process using data
3. Use programming and machine learning to simulate manufacturing schedules, calculate appropriate chemical flow rates, and analyze defective patterns.

Through case studies and feedback from engineers, you will understand how important information technology is in semiconductor manufacturing.
3. TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA
Theme 4. Approaching local issues using digital technology
Location: Hatsukaichi City Hall 7F, ICT KŌBŌ MIYAJIMA
Capacity: 4 people

Day 1: Empathy: Deep dive into the theme
Day 2: Problem definition: Defining the real problem
Day 3: Creation: Creating UI/UX ideas
Day 4: Prototype: Creating a mockup
Day 5: Test: Presentation
4. Higashihiroshima City Hall
Location: Higashihiroshima City Hall Main Office (8-29 Saijo Sakaemachi, Higashihiroshima City)
Capacity: 10 people
Theme: Promoting DX in city hall operations
Learn about the work that city hall does, think about services that could be DXed, identify the information needed to realize them, define system requirements, and make presentations in groups.
Schedule for 2025 (planned)
Day 1: Orientation, City Hall tour, City Hall business explanation
Day 2: Decide on the service you want to develop, identify system specifications
Days 3-4*: Create service overview, presentation
*Internship is scheduled for 3-4 days
5. Primetals Technologies
Location: Our company (Primetals Technologies), Head Office

(4-6-22 Kannonshinmachi, Nishi-ku, Hiroshima City, Mitsubishi Heavy Industries, Ltd. Hiroshima Works, Kannon Factory)

Theme number Theme name Minimum number of people Maximum number of people
1 Development of simulator software for hot rolling mill plate shape control system 1 person 3 people
2 Automatic control of steelmaking machinery using PLC 2 people 4 people
3 Experience developing instrumentation applications for steelmaking plants 2 people 4 people

See Japanese version for details.

No exam. but some reports may be given.

Text/Reference
Books,etc. No text book

PC or AV used in
Class,etc. Handouts, Microsoft Teams

(More Details) The PC and some media info will be provided or use own laptop.
※For TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA, please bring your own PC.

Learning techniques to be incorporated Discussions, Fieldwork / Survey, Project Learning

Suggestions on
Preparation and
Review For each theme, you are requested to acquire the following skills in advance.

Theme 1. Since machine learning will be performed using the programming language Python, it is desirable to learn basic Python operations. It is also preferable to have experience with Keras, PyTorch, OpenCV, and scikit-learn.

Theme 2. Although not required, it is desirable to have the following experience: basic statistics, C#, SQL, Tableau, Python

Theme 3. Acquire basic knowledge of design thinking.
Select a mockup tool and learn how to use it (recommended: Figma).

Theme 4. Learn about the promotion of digital transformation in local governments and form an image of it in advance through books, online news articles, etc.

Theme 5. Please read the following advice for each theme carefully before participating.

(Theme number A, Development of simulator software for hot rolling mill plate shape control system)
Basic programming skills using Python are required.

(Theme number B, Automatic control of steelmaking machinery using PLC)
• Language and level of proficiency are not required, but programming experience is required.

• Please study the following basic knowledge before participating.

・Basics of control theory (logic circuits, sequence control, feedback control)

・E-learning on the Mitsubishi Electric Corporation website below
https://www.mitsubishielectric.co.jp/fa/learn/el/eln/plc/index.html

(Theme number C, Development experience of instrumentation applications for steelmaking plants)
• Language is not required, but programming experience is required.

• Ability to understand simple logic circuits is required.

Requirements This is a lecture exclusively for students of the Faculty of Information Science. Students from other faculties cannot attend this course.

See Japanese version for details.

Grading Method 1. Mazda Motor Corporation
Evaluation will be based on a comprehensive assessment of the students' efforts in the exercises, the code they created, the presentations and Q&A sessions at the results presentation session, etc.

2. Micron Memory Japan
Evaluation will be based on a comprehensive assessment of the students' efforts in the exercises, the results, the presentations at the results presentation session, and free and active discussion.

3. TOPPAN DIGITAL CO., LTD. ICT KŌBŌ MIYAJIMA
Evaluation will be based on a comprehensive assessment of the students' efforts in the exercises, the results, and the presentations at the results presentation session.

4. Higashihiroshima City Hall
Evaluation will be based on a comprehensive assessment of the students' efforts in the exercises, the results, and the presentations at the results presentation session.

5. Primetals Technologies
Comprehensive evaluation will be based on your participation in the exercises, the process and quality of the deliverables, and your presentation at the results presentation.

Practical Experience Experienced

Summary of Practical Experience and Class Contents based on it See Japanese version for details.

Message Please note that since the host company may handle sensitive data held by the company, it may be necessary to conclude a confidentiality agreement with the host company as necessary. Students who cannot comply with the required confidentiality agreement will not be able to take this course.

Other Theme 1. Maximum of 20 participants
Theme 2. Learn about the use of information technology (IT) in cutting-edge semiconductor manufacturing. Maximum of 15 participants
Theme 3. Experience an approach to local issues using design thinking. Maximum of 4 participants
Theme 4. Maximum of 10 participants
Theme 5. Maximum capacity is 11 people (training will be divided by theme)

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	KA234001	Subject Classification	Specialized Education
Subject Name	プロジェクト研究
Subject Name （Katakana）	プロジェクトケンキュウ
Subject Name in English	Research Project
Instructor	MUKAIDANI HIROAKI,RAYTCHEV BISSER ROUMENOV,IWAMOTO CHUZO
Instructor (Katakana)	ムカイダニ　ヒロアキ,ライチェフ　ビセル　ルメノフ,イワモト　チュウゾウ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, First Semester, Intensive
Days, Periods, and Classrooms	(Int) Inte
Lesson Style	Practical	Lesson Style (More Details)	Face-to-face, Online (simultaneous interactive)
This course is an internship-type course held during five days in the summer vacation and gives a practical experience of the research/development conducted in industry to students.
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	4 : Undergraduate Advanced
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	02 : Information Science
Eligible Students	Third Year Students. This lecture is for School of Informatics and Data Science students only. Students from other faculties cannot take this course.
Keywords	Internship type lecture, work experience It is divided into the following three themes. Theme 1. Mobile application, Web API, SQL Theme 2. image analysis, anomaly detection, deep learning Theme 3. Semiconductor manufacturing Theme 4. Local issues, Design thinking, UI/UX Theme 5. Hot rolling mill, automatic control
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 （Knowledge and Understanding）・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture. Data Science Program （Knowledge and Understanding）・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture. Intelligence Science Program （Knowledge and Understanding）・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture.
Class Objectives /Class Outline	This is an internship-style course (intensive course) that utilizes five consecutive days during the summer vacation to participate in research and development projects implemented by companies. In the 2025 academic year, students will participate in projects in computer science (system development), data science (data analysis), and intelligence science (AI field) at Mazda Motor Corporation, Micron Memory Japan, Inc., TOPPAN Digital Corporation ICT KŌBŌ MIYAJIMA, Higashihiroshima City Hall, and Primetals Technologies Japan. Through this course, students will not only be exposed to the actual research and development being carried out in companies, but also aim to acquire a wide range of abilities required in real companies, such as skills to solve problems, methodologies for carrying out research and development, and the ability to report and present results. The course will be divided into the following five themes. Theme 1. The goal is to solve business issues of private companies using machine learning. Assuming that private companies will use AI to improve business efficiency and reduce workload, various machine learning methods will be applied to data used in business. By repeatedly selecting machine learning methods, preprocessing data, building and training models, and evaluating them, a highly accurate algorithm will be developed. Finally, the results will be summarized and discussed. Theme 2. Information technology is essential for cutting-edge semiconductor manufacturing. Participants will be divided into groups, and each group will seek optimal solutions for a case of their choice, such as factory automation program consideration, data conversion of equipment operating rates, and wafer anomaly detection, under the guidance of an engineer in charge, and will summarize and present the results. Theme 3. Participants will take up various issues related to ICT in the region and tackle the issues through mockup production and presentation material creation. In particular, through outdoor activities (fieldwork), participants will confirm the importance of knowing the field and acquire skills that can contribute to regional revitalization. On the final day, a presentation of results will be held and each participant will evaluate and consider each other's results. Theme 4. Participants will think about the system they want to develop and experience the process of defining requirements during system development. Specifically, in order to promote digital transformation in local government operations, participants will learn about the problems faced by local governments, listen to the voices of the field, and understand the current situation. Each participant will explain to others in their own words what kind of system is needed, its image, problems, etc. Establish the specifications and operation methods of the system they want to realize, create a design document with an outline of the service, and finally make a presentation in their group. Theme 5. Students will gain experience in designing programs for systems associated with iron, an important material that serves as the foundation of industry, and the machines that manufacture steel products (steel-making machines), as well as designing programs for physical calculation models that simulate the shapes of steel products. By experiencing the design of systems that control machines and the programming languages used in physical calculation models, students will broaden their horizons and knowledge of fields that they would not otherwise come into contact with during their student lives, and by experiencing actual system design work, they will gain an understanding of what corporate work is like. Students will be divided into groups based on themes and will carry out their practical training, writing reports on their experiences and the knowledge they have gained, and finally making group presentations.
Class Schedule	Over the five days of sessions 1-3, 4-6, 7-9, 10-12, and 13-15, there will be guidance, lectures, project assignment explanations, project assignment execution, results organization and discussion, and presentations of results. Divided into three themes (themes 1. to 5.). 1. Mazda Motor Corporation Theme 1.: Project research (Application of machine learning to manufacturing sites). Person in charge: Saida Satoko We will hold an information session and lecture to help participants get to know our company, as well as lectures and exercises. Day 1: Orientation, company introduction, lectures on machine learning elemental technologies Day 2: Practical training on machine learning Day 3: Practical training on machine learning Day 4: Practical training on machine learning Day 5: Preparation of presentation materials, results presentation In addition, the following events will be included on each day.・Company explanation/headquarters explanation ・Roundtable discussion with young employees ・Visit to Mazda Museum 2. Micron Memory Japan Theme 3. Learn about the use of information technology (IT) in cutting-edge semiconductor manufacturing. Learn about the use of information technology in cutting-edge semiconductor manufacturing using the following case studies. 1. Examination of an automatic transport program for semiconductor silicon wafers 2. Visualize equipment operating rates in a fully automated production process using data 3. Use programming and machine learning to simulate manufacturing schedules, calculate appropriate chemical flow rates, and analyze defective patterns. Through case studies and feedback from engineers, you will understand how important information technology is in semiconductor manufacturing. 3. TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA Theme 4. Approaching local issues using digital technology Location: Hatsukaichi City Hall 7F, ICT KŌBŌ MIYAJIMA Capacity: 4 people Day 1: Empathy: Deep dive into the theme Day 2: Problem definition: Defining the real problem Day 3: Creation: Creating UI/UX ideas Day 4: Prototype: Creating a mockup Day 5: Test: Presentation 4. Higashihiroshima City Hall Location: Higashihiroshima City Hall Main Office (8-29 Saijo Sakaemachi, Higashihiroshima City) Capacity: 10 people Theme: Promoting DX in city hall operations Learn about the work that city hall does, think about services that could be DXed, identify the information needed to realize them, define system requirements, and make presentations in groups. Schedule for 2025 (planned) Day 1: Orientation, City Hall tour, City Hall business explanation Day 2: Decide on the service you want to develop, identify system specifications Days 3-4: Create service overview, presentation Internship is scheduled for 3-4 days 5. Primetals Technologies Location: Our company (Primetals Technologies), Head Office (4-6-22 Kannonshinmachi, Nishi-ku, Hiroshima City, Mitsubishi Heavy Industries, Ltd. Hiroshima Works, Kannon Factory) Theme number Theme name Minimum number of people Maximum number of people 1 Development of simulator software for hot rolling mill plate shape control system 1 person 3 people 2 Automatic control of steelmaking machinery using PLC 2 people 4 people 3 Experience developing instrumentation applications for steelmaking plants 2 people 4 people See Japanese version for details. No exam. but some reports may be given.
Text/Reference Books,etc.	No text book
PC or AV used in Class,etc.	Handouts, Microsoft Teams
(More Details)	The PC and some media info will be provided or use own laptop. ※For TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA, please bring your own PC.
Learning techniques to be incorporated	Discussions, Fieldwork / Survey, Project Learning
Suggestions on Preparation and Review	For each theme, you are requested to acquire the following skills in advance. Theme 1. Since machine learning will be performed using the programming language Python, it is desirable to learn basic Python operations. It is also preferable to have experience with Keras, PyTorch, OpenCV, and scikit-learn. Theme 2. Although not required, it is desirable to have the following experience: basic statistics, C#, SQL, Tableau, Python Theme 3. Acquire basic knowledge of design thinking. Select a mockup tool and learn how to use it (recommended: Figma). Theme 4. Learn about the promotion of digital transformation in local governments and form an image of it in advance through books, online news articles, etc. Theme 5. Please read the following advice for each theme carefully before participating. (Theme number A, Development of simulator software for hot rolling mill plate shape control system) Basic programming skills using Python are required. (Theme number B, Automatic control of steelmaking machinery using PLC) • Language and level of proficiency are not required, but programming experience is required. • Please study the following basic knowledge before participating. ・Basics of control theory (logic circuits, sequence control, feedback control) ・E-learning on the Mitsubishi Electric Corporation website below https://www.mitsubishielectric.co.jp/fa/learn/el/eln/plc/index.html (Theme number C, Development experience of instrumentation applications for steelmaking plants) • Language is not required, but programming experience is required. • Ability to understand simple logic circuits is required.
Requirements	This is a lecture exclusively for students of the Faculty of Information Science. Students from other faculties cannot attend this course. See Japanese version for details.
Grading Method	1. Mazda Motor Corporation Evaluation will be based on a comprehensive assessment of the students' efforts in the exercises, the code they created, the presentations and Q&A sessions at the results presentation session, etc. 2. Micron Memory Japan Evaluation will be based on a comprehensive assessment of the students' efforts in the exercises, the results, the presentations at the results presentation session, and free and active discussion. 3. TOPPAN DIGITAL CO., LTD. ICT KŌBŌ MIYAJIMA Evaluation will be based on a comprehensive assessment of the students' efforts in the exercises, the results, and the presentations at the results presentation session. 4. Higashihiroshima City Hall Evaluation will be based on a comprehensive assessment of the students' efforts in the exercises, the results, and the presentations at the results presentation session. 5. Primetals Technologies Comprehensive evaluation will be based on your participation in the exercises, the process and quality of the deliverables, and your presentation at the results presentation.
Practical Experience	Experienced
Summary of Practical Experience and Class Contents based on it	See Japanese version for details.
Message	Please note that since the host company may handle sensitive data held by the company, it may be necessary to conclude a confidentiality agreement with the host company as necessary. Students who cannot comply with the required confidentiality agreement will not be able to take this course.
Other	Theme 1. Maximum of 20 participants Theme 2. Learn about the use of information technology (IT) in cutting-edge semiconductor manufacturing. Maximum of 15 participants Theme 3. Experience an approach to local issues using design thinking. Maximum of 4 participants Theme 4. Maximum of 10 participants Theme 5. Maximum capacity is 11 people (training will be divided by theme)
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