AY 2026 Graduate School Course Catalog AY 2026 Graduate School Course Catalog AY 2026 Graduate School Course Catalog
| 2026/02/19 |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2026年度／Academic Year 前期集中 ／1st Semester Intensive |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
MORI Kazuyoshi |
| 担当教員名 ／Instructor |
MORI Kazuyoshi, - - |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
- |
| 更新日／Last updated on | 2026/02/18 |
|---|---|
| 授業の概要 ／Course outline |
Almost nobody denies that in conducting any kind of research, we must be careful about human rights and their implementation. Although there exist international declarations and guidelines, they merely represent aspirational goals to achieve. In order to foster our understanding of ethical matters related to research, it is important to look at the history of experimentation on human beings and to review various theories of ethics from which we have derived the principles that we usually follow in conducting research. On the basis of such general knowledge of research ethics, ideally, we can properly examine each actual research situation and devise appropriate solutions to the difficulties involved in them. This course will provide an initial step toward this goal. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
We will learn the history of research ethics and consider general approaches to conducting research mainly by taking a close look at relevant cases. Through this course of study, we will train ourselves to become familiar with the theoretical backgrounds of research ethics and thereby to be able to analyze each situation in research that may cause ethical problems. |
| 授業スケジュール ／Class schedule |
1. General Introduction to Research Ethics (1). Research ethics is a branch of ethics, and ethics is a branch of philosophy. We will begin by examining the nature of philosophy and ethics as academic disciplines. 2. General Introduction to Research Ethics (2). After reviewing several recent cases of research misconduct, we will study three key concepts in research ethics: research misconduct, questionable research practices, and the responsible conduct of research. 3. A History of Research Ethics (1). We will examine unethical human experimentation in the twentieth century, with particular focus on the Tuskegee experiments and Nazi human experiments. 4. A History of Research Ethics (2). We will continue our study of unethical human experimentation in the twentieth century, focusing on Cold War experiments and prison experiments. 5. Theories of Ethics (1). We will study major ethical theories and learn how philosophical arguments are constructed and evaluated. 6. Theories of Ethics (2). After an introduction to normative ethics, we will examine two major normative theories: utilitarianism and deontology. 7. How to Be a Good Researcher. We will examine the responsibilities that scientists and researchers are expected to fulfill. We will also consider the temptations that can lead to research misconduct and discuss how the pursuit of truth can be reconciled with ethical research practices. (Preparation and Review) After each class session, students are expected to review the distributed materials and the content of the in-class discussions. The recommended time for each review session is approximately two to three hours. |
| 教科書 ／Textbook(s) |
No textbook. Materials will be provided in class as needed. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active participation (30%), Final report (70%). |
| 履修上の留意点 ／Note for course registration |
- |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
Loue, Sana (2000). *Textbook of Research Ethics: Theory and Practice*. Springer. |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2026年度／Academic Year 後期集中 ／2nd Semester Intensive |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
CHEN Wenxi |
| 担当教員名 ／Instructor |
CHEN Wenxi, ISHIZAKA Hiroaki |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2026/02/05 |
|---|---|
| 授業の概要 ／Course outline |
In recent years, there has been growing demand for the creation of innovative businesses based on university research. Industry–academia collaboration, including joint research projects between universities and companies, has become an important approach to meeting this demand, and the acquisition and utilization of intellectual property (IP) have become indispensable to achieving the goals of such projects. Furthermore, IP management has become increasingly important not only in collaborative research projects but also in research and development projects for new technologies in general. Therefore, in order to actively engage in these research projects, researchers need to be well-versed in the intellectual property system, particularly the patent system. This course provides a clear and accessible explanation from the basics regarding the protection, management, and utilization of intellectual property rights that are essential for IT technology development and business advancement. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
Students will learn an overview of intellectual property and study how to file patent applications and obtain patent rights. In addition, by completing exercises and assignments on several topics, they will deepen their understanding of the utilization of intellectual property. |
| 授業スケジュール ／Class schedule |
One lecture is conducted within a single class period Day 1 (Overview of IP and patent system) (Lecture) 1. Overview of Intellectual Property (IP): general topics 2. Overview of IP: detailed topics 3. Overview of patent system: procedures of patent applications 4. Overview of patent system: determining patentability [Keywords] Intellectual property, industrial property, territoriality principle, exclusivity, damages, injunction, patent system, design system, trademark system, copyright system, first-to-file principle, request for examination system, publication of patent applications, novelty, inventive step Day 2 (Preparing a proposal to file a patent application) (Lecture, Exercise) 5. Preparing documents related to patent applications: preparing a proposal to file a patent application 6. Preparing documents related to patent applications: search the prior art 7. Exercise for drafting a proposal to file a patent application 8. Exercise for drafting a proposal to file a patent application [Keywords] Patent application documents, claims, problem to be solved by the invention, means for solving the problem Day 3 (Utility model system, Design system, Trademark system) (Lecture) 9. Utility model system 10. Design system 11. Trademark system [Keywords] Report of utility model technical opinion, industrial applicability of designs, distinctiveness of trademarks, designated goods, designated services, similarity of goods or services, similarity of trademarks Day 4 (Other Intellectual Property rights, IP utilization and Summary) (Lecture) 12. Copyright 13. IP utilization in universities and companies 14. Summary of IP rights [Keywords] Idea–expression dichotomy, moral rights of authors, reproduction right, right of public transmission, limitations on copyright, open innovation, co-owned patents, employee inventions, license (right to practice) [Preparation/Review] Before attending each class, students are required to research the keywords related to the lecture content in advance using the internet etc. (preparation). After each class, students must organize the lecture content based on the distributed materials and submit any exercises or assignments for comprehension checks by the designated deadline (review). The expected time for preparation and review for each class is 2–3 hours (totaling 6–8 hours per day). |
| 教科書 ／Textbook(s) |
In principle, handouts will be distributed. |
| 成績評価の方法・基準 ／Grading method/criteria |
Class exercises and assignments (50%) and one report (50%). |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
The course instructor Prof. ISHIZAKA Hiroaki has practical experience. Having spent a total of 20 years at the Japan Patent Office, the instructor has been engaged in patent examination and trial practices, as well as the implementation of intellectual property policies. Drawing on this experience, he teaches intellectual property. |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2026年度／Academic Year 後期 ／Second Semester |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
LIU Yong |
| 担当教員名 ／Instructor |
LIU Yong |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2026/02/05 |
|---|---|
| 授業の概要 ／Course outline |
As technology of computer science and engineering is changing rapidly, it is very necessary to catch up with hot issues accordingly for students who are carrying out research in this field. For example, artificial intelligence and its application on several domains, IoT technologies, distributed network and security issues, robotics, big data analytics, Bioinformatics, and other research topics in computer science and engineering can be illustrated as emerging topics. In keeping with this trend, this course deals with survey of current state of the art of hot topics and suggestion of important research issues related to the topics. Free discussions on the contents that have been covered in a course, will fill up possible deficiencies and improve the course with detailed issues among students in the discussion. Topics are decided not only by considering hot research trends based on study fields of GS basically, but by requests from faculties and students. The courses consist of presentation of teaching and discussion with Q&A. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
This course aims to help of giving information and knowledge for students’ research and catching up with fast research changes on computer science and engineering. Also, it can give useful information for some idea on their researches. Through topics covered in this course, students will obtain information and knowledge on important research issues and figure out current state of the art of some hot topics in computer science and engineering, and can apply them to develop an idea for their researches. Grasp of broad knowledge on the issues can give a good chance toward fusion of the technologies too. |
| 授業スケジュール ／Class schedule |
List of tentative topics in this year is as follows. But some topics can be replaced as necessary with other topics such as a special hot topic at some period, key note speech at a conference in UoA, etc. 1. Topics on AI and its Application - Machine learning and deep learning - Reinforcement learning - Natural language processing and LLMs - AI agents and agentic systems [Preparation/Review] Study lecture notes: preparation (2 hours), review (2 hours). 2. Topics on IoT - From ubiquitous to IoT - Topics on wearable IoTs for MoCap - Optical- CCD camera, fiber optical - RF - radar, CSI - Wearables - kinematics, bending, touch, pressure, haptics [Preparation/Review] Study lecture notes: preparation (2 hours), review (2 hours). 3. Topics on Parallel/Distributed Computing - High performance computing (HPC) - Energy efficiency and integration in HPC - Using machine learning accelerators for HPC - Impact of LLMs on HPC [Preparation/Review] Study lecture notes: preparation (2 hours), review (2 hours). 4. Topics on Computer/AI System - Real-time computer systems - Outline of neural network processing - Deep learning and challenges in computer systems - Advantages of quantization - Quantization approaches [Preparation/Review] Study lecture notes: preparation (2 hours), review (2 hours). 5. Topics on Security - Trustworthy AI for collaborative cyber-physical ecosystems - From federated sensing to secure governance [Preparation/Review] Study lecture notes: preparation (2 hours), review (2 hours). 6. Topics on Fault-Tolerant Service Management for Industrial Clouds - Cloud computing - How to handle cloud outages and improve service availability? - FT-ERM & SRE-HM Models for High Availability of Cloud Services - Fault Tolerance Unit [Preparation/Review] Study lecture notes: preparation (2 hours), review (2 hours). 7. Student Presentations and Discussions [Preparation/Review] Write presentation slides: preparation (2 hours), review (4 hours). |
| 教科書 ／Textbook(s) |
Lecture notes will be provided on the course page. |
| 成績評価の方法・基準 ／Grading method/criteria |
- Participation to discussion in the classes: 30 points - Report and presentation on research topic survey: 70 points |
| 履修上の留意点 ／Note for course registration |
There can be homework such as pre-reading or material preparation by some lecturers. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
References are provided in the lecture notes. |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2026年度／Academic Year 前期 ／First Semester |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
PAIK Incheon |
| 担当教員名 ／Instructor |
PAIK Incheon, TOMIOKA Yoichi, NITTA Koyo, - - |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
N/A |
| 更新日／Last updated on | 2026/02/06 |
|---|---|
| 授業の概要 ／Course outline |
The purpose of this course is to provide students of the doctoral program with the information necessary for future career design. Ph.D. degree holders will give the lectures on how to utilize their expertise and skills. Students will have the opportunities to think, discuss, and present about their future career plan. In this course, we will invite University of Aizu faculty members, visiting researchers, and guest lecturers having Ph.D degree to talk their experiences in research at the universities and development at companies. Lecturers give lectures on the knowledge and skills required for work based on their own experiences. Students think by themselves, discuss on their future plan, and finally present their plan. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
After completing this course, you will be able to: 1) Understand what kind of occupation and work style you will have after obtaining your Ph.D degree. 2) Understand how to utilize the research contents and necessary skills other than the research contents 3) Design your future while considering your dreams, approach path, balance between work and life, etc. 4) Examine future work styles from a broader perspective by sharing with each other [Preparation/Review] • Before each class session, read and understand the lecture materials (slides). After class, review the lecture content, and think of ways to apply it. • The standard out-of-class learning time for this course is 120 minutes per session, broken down as follows: 120 minutes for preparation (reading slides), and 120 minutes for review and consider how to apply the contents to your career. • Report assignments will be given for final presentation. |
| 授業スケジュール ／Class schedule |
Topics and schedule 1) Outline of the work style of the doctorate 2) Lecture by external lecturer (1) 3) Lectures by UoA faculty members or visiting professors/researchers (1) 4) Lecture by external lecturer (2) 5) Lectures by UoA aculty members or visiting professors/researchers (2) 6) Plan making and group discussion 7) Final announcement |
| 教科書 ／Textbook(s) |
No special text book Handout provided by lecturers Handout will be uploaded on Moodle system |
| 成績評価の方法・基準 ／Grading method/criteria |
Evaluation method * Quizzes and questions in class: 20% * Plan making and group discussion: 30% * Performance of final presentation and report: 50% |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
Course page on Moodle system. |