| Academic Year |
2026Year |
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 |
OKAMURA HIROYUKI,OGURA MASAKI,MONDEN REI,ZHENG JUNJUN,LIAN ZHUOTAO,MORIMOTO YASUHIKO |
Instructor (Katakana) |
オカムラ ヒロユキ,オグラ マサキ,モンデン レイ,テイ シュンシュン,リアン ズオタオ,モリモト ヤスヒコ |
| 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 Theme 6: Regional Issues, IT/Digital Technologies, and Business Plan Development Theme 7: AI, AI Agents |
| 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 2026 academic year, students will participate in seven courses covering computer science (system development), data science (data analysis), and intelligence science (AI). Through these courses, they will gain exposure to real corporate research and development and acquire essential skills required in industry, including problem‑solving abilities, research and development methodologies, and effective reporting and presentation skills.
Theme 1 introduces students to applying machine learning to real corporate challenges. Using actual operational data, they work through method selection, preprocessing, model development, training, and evaluation. By refining their models, they aim to create effective business solutions and present their results for discussion.
Theme 2 explores the critical role of IT in semiconductor manufacturing. Students collaborate with engineers on cases such as factory automation, equipment data collection, and wafer anomaly detection. Each group analyzes its assigned topic and presents its findings.
Theme 3 focuses on ICT issues in local communities. Students experience the full development process—from defining requirements to creating system mockups and documentation. On the final day, they present their work and deepen their understanding through peer evaluations.
Theme 4 gives students hands-on experience in requirement definition, a key step in system development. By studying digital transformation challenges in local governments and learning from on-site perspectives, they identify system needs, develop design documents, and present their concepts in groups.
Theme 5 exposes students to system design for machinery used in steel and iron production. Through programming and designing control systems in an industrial setting, they broaden their technical knowledge and gain insight into real company workflows. Their experiences are summarized in group reports and final presentations.
Theme 6 focuses on rediscovering the strengths of communities in Hiroshima Prefecture and using IT and digital technologies to address regional challenges. Students analyze local issues, envision a future direction, and design services accordingly. Each group creates IT-driven business plans and prototypes that illustrate user experience and system functions, presenting their ideas to the class.
Theme 7 offers a hands-on experience in developing autonomous AI agents using LaKeel Blu, the LaKeel Agentic Assistant, and LaKeel DX. Through practical work that integrates data analysis, AI control, API integration, and MCP‑based architectures, students learn how modern agents operate beyond simple chat responses and how to design AI capable of acting independently.
|
| 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 in Manufacturing). Instructor: Saida Satoko
To deepen students’ understanding of practical work and research and development in industry, the program includes briefings, lectures, and hands-on exercises.
Additional events incorporated each day include: • Company overview / Head Office briefing • Roundtable discussion with young employees • Mazda Museum tour
Example schedule from a previous year: • Day 1: Orientation, company introduction / headquarters overview, lecture • Day 2: Mazda Museum tour, exercises • Day 3: Exchange session with young employees, exercises • Day 4: Lecture, exercises • Day 5: Final presentations
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 Inc. ICT KŌBŌ MIYAJIMA Theme 4. Approaches to Regional Issues through Digital Solutions Location: ICT KŌBŌ MIYAJIMA, 7th Floor, Hatsukaichi City Hall Capacity: 4 students
• Day 1: In-depth exploration of the theme • Day 2: Requirements analysis • Day 3: Design and development • Day 4: Testing • Day 5: Presentation Note: The program content may be subject to change.
4. Higashihiroshima City Hall Location: Higashihiroshima City Hall Main Office (8-29 Saijo Sakaemachi, Higashihiroshima City) Theme: Promoting DX in city hall operations
Students will learn about the functions and responsibilities of city government, identify services that could benefit from DX initiatives, extract necessary information for implementation, and define system requirements before presenting their work as a group. Schedule for 2026 (planned) • Day 1: Orientation, city hall tour, explanation of municipal operations • Day 2: Selection of target service for development, extraction of system requirements • Days 3–4: Preparation of service overview document, group presentations
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 Automatic control of steel manufacturing machinery using PLCs 2 people 4 people 2 Development experience for instrumentation applications for steel plants 2 people 4 people
Tentative Schedule for Academic Year 2026: • Day 1: Orientation, company introduction, design office tour, factory tour, explanation of training activities • Days 2–4: Students work on their assigned theme using company-provided computers, engaging in programming and creating operation screens under the guidance of company instructors • Day 5: Summary of training activities, final presentations Note: Pre-training lectures on control systems will be provided.
6. Hirogin Holdings, Inc.,Hiroshima Prefecture,NTTDATA-Chugoku Theme: Rediscovering the Appeal of Hiroshima – Exploring IT/Digital-Driven Business Models Location: Hirogin Holdings Head Office, 4F Grand Hall (Planned for FY2026) Day 1 – Issue Exploration & Solution Proposals From the provided input materials, each team will identify regional strengths and challenges, then develop initial ideas to build upon. Day 2 – Business Model Development Teams will analyze how their ideas can evolve into viable business models. Day 3 – Service and Function Design Participants will detail the services and functional requirements needed to realize their ideas. Day 4 – Deep Dive, Refinement & Presentation Preparation Teams will refine and deepen their concepts using multiple methods, then compile their findings into presentation materials. Day 5 – Final Presentations ※ The content may be partially modified depending on progress. Format: In-person sessions
7. LaKeel, Inc. Theme: Hands-on Development of Business Applications (AI Agents) Using the Latest LaKeel Products: LaKeel Blu / Agentic Assistant Venues: Pre-stay: Lakir Tokyo Headquarters Day 1: Same as above Day 2: Hiroshima University Lecture Room Day 3: Same as above Day 4: Same as above Day 5: Lakir Kure Office ※ Meeting place and time for Day 1 will be provided in advance. ※ Accommodation and transportation costs will be covered by the company.
(Planned for FY2026) Pre-stay: Interaction with Tokyo-based employees (Lamile experience) Day 1: Orientation, company introduction, and more Day 2: Lectures on our company’s products, etc. Day 3: Application development Day 4: Application development Day 5: Preparation of presentation materials, final presentation, and feedback
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 Inc. and Higashihiroshima City Hall: Please bring your own PC. ※For Primetals Technologies: as a general rule, the exercises will be conducted using the PCs provided by our company. We will inform you at a later date regarding the use of personal PCs, so please follow the instructions at that time. |
| 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 conducted using Python, it is desirable to have learned basic Python operations beforehand. Experience in image processing is also beneficial.
Theme 2. Not mandatory, but the following experience is recommended: Basic statistics, C#, SQL, Tableau, Python.
Theme 3. Students should study system development (waterfall model) in advance. Additionally, students should learn how to use the mockup tool Figma.
Theme 4. Students should familiarize themselves with the concept of municipal DX promotion by reading books or online news articles beforehand.
Theme 5. Please carefully read the following advice for each theme before participating. (Theme 1: Automatic Control of Steel Manufacturing Machinery Using PLCs) • Programming experience is required, although the programming language and level of proficiency do not matter. • Please study the following basic knowledge before participating: Fundamentals of control theory (logic circuits, sequence control, feedback control) • Prior to the course, we will provide instructions on which e-learning courses to complete on the Mitsubishi Electric website. Please complete the courses individually to gain the necessary background knowledge. https://www.mitsubishielectric.co.jp/fa/learn/el/eln/plc/index.html (Theme 2: Development of Instrumentation Applications for Steel Plants) • Programming experience is required, regardless of programming language. • A basic understanding of simple logic circuits is also required.
Theme 6. Students are expected to read the materials provided in advance regarding the assigned region or local government to deepen their understanding of the background of the issues and the regional characteristics. After each class session, it is recommended that students review the content of the group discussions and the instructor’s feedback, and then organize their own problem-setting and solution-development process.
Theme 7. It is desirable to have experience with Python, Java, or TypeScript (JavaScript). (No specific level of proficiency is required.) Introduction materials for our products will be distributed in advance. Although not mandatory, completing the course “Software Engineering” is expected to enhance your understanding during the program. |
| 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 Students will be evaluated comprehensively based on their engagement in the exercises, the code they create, and their presentations and Q&A performance at the results presentation session.
2. Micron Memory Japan Students will be evaluated comprehensively based on their engagement in the exercises, the deliverables they produce, their presentations at the results presentation session, and their active and open participation in discussions.
3. TOPPAN DIGITAL CO., LTD. ICT KŌBŌ MIYAJIMA Students will be evaluated comprehensively based on their engagement in the exercises, the deliverables they produce, and their presentations.
4. Higashihiroshima City Hall Students will be evaluated comprehensively based on their engagement in the exercises, the deliverables they produce, and their presentations at the results presentation session.
5. Primetals Technologies Students will be evaluated comprehensively based on their engagement in the exercises, the process and quality of the deliverables they create, and their presentations at the results presentation session.
6. Hiroshima Bank Holdings / Hiroshima Prefecture / NTT Data Chugoku Students will be evaluated comprehensively based on their engagement in the exercises (participation in the assigned work, collaboration with other participants, and performance in discussions and presentations), as well as the content of their final presentations.
7. Rakiru Kure We will conduct a comprehensive evaluation based on the following points: ・Proactive engagement in the exercises ・Willingness to collaborate within the team ・Presentation skills and responses during the Q&A session ・Quality and completeness of the final deliverables |
| 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: Capacity: 20 students Theme 2: Capacity: 15 students Theme 3: Capacity: 4 students Theme 4: Capacity: 10 students Theme 5: Maximum capacity: 8 students (Exercises will be conducted in separate groups according to each sub theme) Theme 6: Capacity: 10 students Theme 7: Capacity: 10 students (a confidentiality agreement will be required).
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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. |