KA234001 Research Project

Hiroshima University Syllabus

Japanese

Academic Year 2024Year 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

Instructor
(Katakana) ムカイダニ　ヒロアキ

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

Days, Periods, and Classrooms (Int) Inte

Lesson Style Practical Lesson Style
(More Details) 　

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

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 lecture "Project Research" is a replacement subject for "Medical and Welfare Policy and Data Analysis".

This lecture is an internship-type lecture (intensive lecture) in which students participate in a research and development project carried out at a company during five consecutive days during the summer vacation.

In 2023, we will participate in computer science (system development), data science (data analysis), and intelligence science (AI field) projects at Mazda Motor Corporation, Micron Memory Japan Co., Ltd and Toppan INC. Through taking this lecture, you will not only experience the actual research and development practiced in companies, but also acquire practical skills such as the acquisition of skills to solve problems, the methodology for carrying out research and development, and the ability to report results and make presentations. We aim to acquire a wide range of abilities that are required by companies.

It is divided into the following three themes.

Theme 1. Experience developing an application consisting of a mobile application (iOS) and a backend system (cloud system). Using vehicle data, develop mobile applications for use in the field by sales/maintenance personnel, etc. Workshops will be held in a pair programming format, and systems will be developed by teams.

Theme 2. In order to make Mazda Motor Corporation's factory a smart factory, we will work on building a deep learning model using image data actually acquired at the manufacturing site. Individuals will select their own methods, preprocess data, build and train models, We repeat the evaluation and develop an algorithm that achieves high accuracy.Finally, we summarize and present the results and discuss them.

Theme 3. Information technology has become essential in cutting-edge semiconductor manufacturing. Participants were divided into groups, and each group, under the guidance of the engineer in charge, sought out optimal solutions for arbitrary cases selected by each group, such as examining factory automation programs, converting equipment operating rates into data, and detecting wafer abnormalities. We will present a summary of the following.

Theme 4. We will take up various issues related to ICT in the region and tackle them by creating mockups and presentation materials. In particular, through outdoor activities (fieldwork), students will confirm the importance of knowing the actual site and acquire skills that can contribute to regional creation. On the final day, a results presentation session will be held to evaluate and discuss each other's results.

Class Schedule Guidance, lectures,
We will explain the project assignment, carry out the project assignment, organize and discuss the results, and present the results.

It will be divided into four themes (theme 1. to theme 4.).

A. Mazda Corporation Inc
Theme 1. :① Visualization application using vehicle data. Person in charge: Yutaka Ishizuka
Experience developing an application consisting of a mobile application (iOS) and a backend system (cloud system). Using vehicle data, develop mobile applications for use in the field by sales/maintenance personnel, etc. Workshops will be held in a pair programming format, and systems will be developed by teams.

We will hold briefing sessions, lectures, and exercises to help you get to know our company.

The lecture will provide an overview of the following.
1. Mobile application/backend system overview
2. What is Web API?
3.SQL
4. What is Swift?
5. What is Javascript?
*We will not explain details about 3. to 5. We recommend that you study it in advance.

Based on the lecture content, the exercise consists of an iOS mobile application and a backend system.
You will build a system.
On the final day, each team will present their results.

Theme 2. :② Application of machine learning to manufacturing sites. Person in charge: Yosuke Maeda, Kan Oda

We will hold briefing sessions, lectures, and exercises to help you get to know our company.

The lecture will provide an overview of the following.
1. Mobile application/backend system overview
2. What is Web API?
3.SQL
4. What is Swift?
5. What is Javascript?
*We will not explain the details of 3. to 5. We recommend that you study it in advance.

Based on the lecture content, the exercise consists of an iOS mobile application and a backend system.
You will build a system.
On the final day, each team will present their results.

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

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

1. Study of automatic transfer program for semiconductor silicon wafers
2. Visualize equipment utilization rates in fully automated production processes using data
3. We will use programming and machine learning to simulate manufacturing schedules, calculate appropriate chemical flow rates, and analyze failure patterns.

Through case studies and feedback from engineers, you will understand how important information technology is in semiconductor manufacturing.

D. TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA
Theme: Approaching regional issues using design thinking
Implementation location: Hatsukaichi City Hall 7F ICT KŌBŌ MIYAJIMA
Capacity: 8 people (group work of 4 to 5 people per group)

Day 1: Empathy: A deep dive into the theme
Day 2 Problem definition: Defining the real problem
Day 3 Creation: UI/UX idea generation
Day 4 Prototype: Creating a mockup
Day 5 Test: Presentation

No exam. but some reports may be given.

Text/Reference
Books,etc. No text book

PC or AV used in
Class,etc. 　

(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 　

Suggestions on
Preparation and
Review We request that you acquire the following skills in advance for each theme.

Theme 1. Programming experience is required, regardless of language. Experience with SQL (especially SELECT statements and WHERE clauses) is recommended, although not essential.

Theme 2. Machine learning is performed using the programming language Python, so you should learn the basic operations of Python. Experience with Keras, PyTorch, OpenCV, scikit-learn would be good.

Theme 3. Although not required, it is desirable to have the following experience.
Basic Statistics, C#, SQL, Tableau, Python

Theme 4.
Acquire basic knowledge of design thinking.
Select a mock-up tool and learn how to operate it.

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

A. Mazda Motor Corporation (two themes ① and ②)
The exercise will be held at Mazda Motor Corporation's Hiroshima headquarters over five consecutive weekdays in September.
Mazda Motor Corporation will provide the PC/smartphone and work environment necessary for the exercise. The meeting place and time on the first day will be communicated in advance.
Since the data used in the exercise is limited data, use for purposes other than this exercise is not permitted.

B. Micron Memory Japan
The exercise will be held at Micron Memory Japan for four consecutive weekdays.
Micron will provide the devices necessary for the exercise. No PCs or storage media other than smartphones may be brought into the office. The meeting place and time on the first day will be communicated in advance.
The data used or learned during the exercise will not be allowed to be used for any purpose other than this exercise.

C. TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA
The exercise will be held at ICT KŌBŌ MIYAJIMA on the 7th floor of Hatsukaichi City Hall over five consecutive weekdays from the end of August to mid-September. Online participation is not possible.
The meeting place and time for the first day will be communicated in advance.
Please bring your own PC (to be used for creating mock-ups and creating presentation materials).
The information used in the exercise may not be used for any purpose other than this exercise.
There is a possibility of conducting outdoor activities (fieldwork).
Group work will be mixed with students from other universities.

Grading Method The grade evaluation for credit will be made by not only the practitioners in the company but also the faculty stuffs in Hiroshima University, based on the participation status in the project, attitude towards the task, achievement in research and development, presentation, etc.

Practical Experience Experienced

Summary of Practical Experience and Class Contents based on it The faculty member in charge of each theme is an employee and is asked to work on a problem that is currently being solved.

Message A. Mazda Corporation Inc
Theme 1. At Mazda, we use software to control the functions and performance of our cars and continuously update them throughout the period of use, in order to ensure that our customers always experience the ultimate driving pleasure and safety and security. We are developing defined vehicles (SDVs) and the connected systems that support them. For this connected system, we are accumulating know-how related to cloud and smartphone applications in-house, and are proceeding with in-house production to improve service quality.We are looking for an IT engineer to be involved in development and operation as a member of the company. Masu.

Theme 2: In the automobile industry, which is undergoing a once-in-a-century period of major transformation, Mazda is aiming to "create Mazda's unique value through co-creation of people and IT." We are working on building a system and structure that allows us to collaborate and provide high-value products/services in an extremely short period of time. As a member of this team, we are looking for people to work as data scientists and AI developers.

B. Micron Memory Japan
Semiconductor development and manufacturing is an area in which the use of cutting-edge information technology is essential. We welcome not only data scientists and IT engineers, but also manufacturing engineers who can utilize their information science skills to play an active role.

C. TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA
TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA is working on solving regional issues using DX. We welcome people who want to learn ICT technology and play an active role in Hiroshima.

Other Theme 1. : Visualization application development using vehicle data. Capacity is 8 people
Theme 2. : Application of machine learning to manufacturing sites. Capacity is 10 people
Theme 3. : Knowing the utilization of information technology (IT) in cutting-edge semiconductor manufacturing,. Capacity is 15 people
Theme 4. : Experiencing approaches to local issues using design thinking, capacity of 4 to 8 participants

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	2024Year	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
Instructor (Katakana)	ムカイダニ　ヒロアキ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, First Semester, Intensive
Days, Periods, and Classrooms	(Int) Inte
Lesson Style	Practical	Lesson Style (More Details)
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
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 lecture "Project Research" is a replacement subject for "Medical and Welfare Policy and Data Analysis". This lecture is an internship-type lecture (intensive lecture) in which students participate in a research and development project carried out at a company during five consecutive days during the summer vacation. In 2023, we will participate in computer science (system development), data science (data analysis), and intelligence science (AI field) projects at Mazda Motor Corporation, Micron Memory Japan Co., Ltd and Toppan INC. Through taking this lecture, you will not only experience the actual research and development practiced in companies, but also acquire practical skills such as the acquisition of skills to solve problems, the methodology for carrying out research and development, and the ability to report results and make presentations. We aim to acquire a wide range of abilities that are required by companies. It is divided into the following three themes. Theme 1. Experience developing an application consisting of a mobile application (iOS) and a backend system (cloud system). Using vehicle data, develop mobile applications for use in the field by sales/maintenance personnel, etc. Workshops will be held in a pair programming format, and systems will be developed by teams. Theme 2. In order to make Mazda Motor Corporation's factory a smart factory, we will work on building a deep learning model using image data actually acquired at the manufacturing site. Individuals will select their own methods, preprocess data, build and train models, We repeat the evaluation and develop an algorithm that achieves high accuracy.Finally, we summarize and present the results and discuss them. Theme 3. Information technology has become essential in cutting-edge semiconductor manufacturing. Participants were divided into groups, and each group, under the guidance of the engineer in charge, sought out optimal solutions for arbitrary cases selected by each group, such as examining factory automation programs, converting equipment operating rates into data, and detecting wafer abnormalities. We will present a summary of the following. Theme 4. We will take up various issues related to ICT in the region and tackle them by creating mockups and presentation materials. In particular, through outdoor activities (fieldwork), students will confirm the importance of knowing the actual site and acquire skills that can contribute to regional creation. On the final day, a results presentation session will be held to evaluate and discuss each other's results.
Class Schedule	Guidance, lectures, We will explain the project assignment, carry out the project assignment, organize and discuss the results, and present the results. It will be divided into four themes (theme 1. to theme 4.). A. Mazda Corporation Inc Theme 1. :① Visualization application using vehicle data. Person in charge: Yutaka Ishizuka Experience developing an application consisting of a mobile application (iOS) and a backend system (cloud system). Using vehicle data, develop mobile applications for use in the field by sales/maintenance personnel, etc. Workshops will be held in a pair programming format, and systems will be developed by teams. We will hold briefing sessions, lectures, and exercises to help you get to know our company. The lecture will provide an overview of the following. 1. Mobile application/backend system overview 2. What is Web API? 3.SQL 4. What is Swift? 5. What is Javascript? We will not explain details about 3. to 5. We recommend that you study it in advance. Based on the lecture content, the exercise consists of an iOS mobile application and a backend system. You will build a system. On the final day, each team will present their results. Theme 2. :② Application of machine learning to manufacturing sites. Person in charge: Yosuke Maeda, Kan Oda We will hold briefing sessions, lectures, and exercises to help you get to know our company. The lecture will provide an overview of the following. 1. Mobile application/backend system overview 2. What is Web API? 3.SQL 4. What is Swift? 5. What is Javascript? We will not explain the details of 3. to 5. We recommend that you study it in advance. Based on the lecture content, the exercise consists of an iOS mobile application and a backend system. You will build a system. On the final day, each team will present their results. B. Micron Memory Japan Theme 3. Learn about the use of information technology (IT) in cutting-edge semiconductor manufacturing. Experience the use of information technology in cutting-edge semiconductor manufacturing using the following case studies. 1. Study of automatic transfer program for semiconductor silicon wafers 2. Visualize equipment utilization rates in fully automated production processes using data 3. We will use programming and machine learning to simulate manufacturing schedules, calculate appropriate chemical flow rates, and analyze failure patterns. Through case studies and feedback from engineers, you will understand how important information technology is in semiconductor manufacturing. D. TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA Theme: Approaching regional issues using design thinking Implementation location: Hatsukaichi City Hall 7F ICT KŌBŌ MIYAJIMA Capacity: 8 people (group work of 4 to 5 people per group) Day 1: Empathy: A deep dive into the theme Day 2 Problem definition: Defining the real problem Day 3 Creation: UI/UX idea generation Day 4 Prototype: Creating a mockup Day 5 Test: Presentation No exam. but some reports may be given.
Text/Reference Books,etc.	No text book
PC or AV used in Class,etc.
(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
Suggestions on Preparation and Review	We request that you acquire the following skills in advance for each theme. Theme 1. Programming experience is required, regardless of language. Experience with SQL (especially SELECT statements and WHERE clauses) is recommended, although not essential. Theme 2. Machine learning is performed using the programming language Python, so you should learn the basic operations of Python. Experience with Keras, PyTorch, OpenCV, scikit-learn would be good. Theme 3. Although not required, it is desirable to have the following experience. Basic Statistics, C#, SQL, Tableau, Python Theme 4. Acquire basic knowledge of design thinking. Select a mock-up tool and learn how to operate it.
Requirements	This is a lecture exclusively for students of the Faculty of Information Science. Students from other faculties cannot attend this course. A. Mazda Motor Corporation (two themes ① and ②) The exercise will be held at Mazda Motor Corporation's Hiroshima headquarters over five consecutive weekdays in September. Mazda Motor Corporation will provide the PC/smartphone and work environment necessary for the exercise. The meeting place and time on the first day will be communicated in advance. Since the data used in the exercise is limited data, use for purposes other than this exercise is not permitted. B. Micron Memory Japan The exercise will be held at Micron Memory Japan for four consecutive weekdays. Micron will provide the devices necessary for the exercise. No PCs or storage media other than smartphones may be brought into the office. The meeting place and time on the first day will be communicated in advance. The data used or learned during the exercise will not be allowed to be used for any purpose other than this exercise. C. TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA The exercise will be held at ICT KŌBŌ MIYAJIMA on the 7th floor of Hatsukaichi City Hall over five consecutive weekdays from the end of August to mid-September. Online participation is not possible. The meeting place and time for the first day will be communicated in advance. Please bring your own PC (to be used for creating mock-ups and creating presentation materials). The information used in the exercise may not be used for any purpose other than this exercise. There is a possibility of conducting outdoor activities (fieldwork). Group work will be mixed with students from other universities.
Grading Method	The grade evaluation for credit will be made by not only the practitioners in the company but also the faculty stuffs in Hiroshima University, based on the participation status in the project, attitude towards the task, achievement in research and development, presentation, etc.
Practical Experience	Experienced
Summary of Practical Experience and Class Contents based on it	The faculty member in charge of each theme is an employee and is asked to work on a problem that is currently being solved.
Message	A. Mazda Corporation Inc Theme 1. At Mazda, we use software to control the functions and performance of our cars and continuously update them throughout the period of use, in order to ensure that our customers always experience the ultimate driving pleasure and safety and security. We are developing defined vehicles (SDVs) and the connected systems that support them. For this connected system, we are accumulating know-how related to cloud and smartphone applications in-house, and are proceeding with in-house production to improve service quality.We are looking for an IT engineer to be involved in development and operation as a member of the company. Masu. Theme 2: In the automobile industry, which is undergoing a once-in-a-century period of major transformation, Mazda is aiming to "create Mazda's unique value through co-creation of people and IT." We are working on building a system and structure that allows us to collaborate and provide high-value products/services in an extremely short period of time. As a member of this team, we are looking for people to work as data scientists and AI developers. B. Micron Memory Japan Semiconductor development and manufacturing is an area in which the use of cutting-edge information technology is essential. We welcome not only data scientists and IT engineers, but also manufacturing engineers who can utilize their information science skills to play an active role. C. TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA TOPPAN Digital Co., Ltd. ICT KŌBŌ MIYAJIMA is working on solving regional issues using DX. We welcome people who want to learn ICT technology and play an active role in Hiroshima.
Other	Theme 1. : Visualization application development using vehicle data. Capacity is 8 people Theme 2. : Application of machine learning to manufacturing sites. Capacity is 10 people Theme 3. : Knowing the utilization of information technology (IT) in cutting-edge semiconductor manufacturing,. Capacity is 15 people Theme 4. : Experiencing approaches to local issues using design thinking, capacity of 4 to 8 participants
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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