AY 2022 Graduate School Course Catalog AY 2022 Graduate School Course Catalog AY 2022 Graduate School Course Catalog
| 2023/01/30 |
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| 開講学期 ／Semester |
2022年度／Academic Year 前期集中 ／1st Semester Intensi |
|---|---|
| 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 | 2022/01/14 |
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| 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, however, there exist international declaration 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 history of experimentation on human beings and to review various theories of ethics from which we have derived principles that we usually follow in conducting research. On the basis of such general knowledge of research ethics, ideally, we can properly examine each of actual research situations and devise appropriate solutions to the difficulties involved in it. This course will provide an initial step for it. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
We will learn the history of research ethics and consider how to conduct general approaches mainly by taking a close look at relevant cases. Through this course of study, we will train ourselves to be familiar with theoretical backgrounds of research ethics and thereby to be able to analyze each of situations in research that may cause ethical problems. |
| 授業スケジュール ／Class schedule |
1. General introduction to research ethics (I). We will mainly address the issue of human experimentation by briefly overviewing several notorious cases including the Nazi Experiments and the Cold War Experiments. 2. General introduction to research ethics (II). We will then consider how ethical codes and guide lines historically developed. We will also do an exercise for this topic. 3. Approaches to ethical analysis (I). We will review a number of major ethical theories, which are systematically related to bodies of principles and rules related to research. To begin with, we will overview casuistry, communitarianism, and feminist ethics. 4. Approaches to ethical analysis (II). Next, we will consider the three major theories of normative ethics: deontology, utilitarianism, and virtue ethics. We may also do an exercise for this topic. 5. Ethical issues before the study begins (I). We will address the issue of how to design the study, which includes formulating inclusion and exclusion criteria -- who should be permitted to participate and who should not participate in the study. 6. Ethical issues before the study begins (II). We will consider the purpose and function of ethical review committees before discussing various types of conflicts of interest. We may also do an exercise regarding assessment of conflicts of interest. 7. Ethical issues during and after the study. We will overview topics of importance during and after the study, which include the informed consent process, confidentiality and privacy concerns, authorship, and research misconducts. |
| 教科書 ／Textbook(s) |
No textbook. Teaching materials will be distributed in the class, if necessary. |
| 成績評価の方法・基準 ／Grading method/criteria |
Exercises at classes (20%). Active participation in discussion (20%). Final report (60%). |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
Sana Loue. Textbook of Research Ethics: Theory and Practice. New York (2000). |
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| 開講学期 ／Semester |
2022年度／Academic Year 後期集中 ／2nd Semester Intensi |
|---|---|
| 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, ISHIBASHI Shiro, TANAKA Hideki |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
English |
| 更新日／Last updated on | 2022/09/07 |
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| 授業の概要 ／Course outline |
In recent years, there is a growing demand for the creation of innovative businesses based on the university's research. University-Business research collaboration, such as collaborative research projects, is one of key approaches to meet the demands. In order to achieve goals of the projects, it is often considered essential to obtain and utilize the intellectual property (IP) rights. In addition, IP management are becoming more important for not only these research projects but any R&D project of new technologies. In order to actively engage with these research project, the researchers need to be familiar with the IP system, especially patent system because it can protect the technical idea of research. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
In the first half of the course, students of this class can mainly learn overview of IP, and learn how to file patent applications/how to obtain patent rights. In particular, the students can study how to draft an invention proposal based on research results for filing patent applications. In the last half of the course, the students are able to deepen their understanding of the use of IP, especially in relation to information and communication technology, through group discussions and exercises on some topics. |
| 授業スケジュール ／Class schedule |
Day 1 (Overview of IP and patent system) 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 Day 2 (Preparing a proposal to file a patent application) 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 Day 3 (Exploiting patents related to computer software) 9. Patent eligibility of computer implemented invention 10. Patent eligibility of Artificial Intelligence(AI)/Internet of Things(IoT) 11. Discussion Day 4 (IP management in university) 12. Filing patent applications and publishing papers, collaborative research project with industry 13. Open source software 14. Discussion |
| 教科書 ／Textbook(s) |
In principle, handouts will be distributed in class. |
| 成績評価の方法・基準 ／Grading method/criteria |
Students will be evaluated on the basis of their contribution to each lecture and discussion (50%) and one report (50%). |
| 履修上の留意点 ／Note for course registration |
In principle, absence from the class is avoided in order to concentrate on acquiring practical knowledge in a short period of time. If it is truly unavoidable, students will be asked to submit additional reports afterwards, and the results will be reflected in their grades. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
The course instructor TANAKA Hideki has practical experience. He had been working for Japan Patent Office (JPO) for total 20 years where he was involved in patent examination/trial/appeal and operations of governmental IP policy. Based on his experience, he can teach the utilization of Intellectual Property. |
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| 開講学期 ／Semester |
2022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 |
PAIK Incheon |
| 担当教員名 ／Instructor |
PAIK Incheon |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/28 |
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| 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. Course Introduction - Incheon Paik 2. Topics on AI and its application 3. Topics on IoT 4. Topics on Brain Computer Interface 5. Topics on Parallel/Distributed Computing 6. Topics on Bio Information Engineering 7. Topics on Computer/AI System 8. Topics on Security |
| 教科書 ／Textbook(s) |
- A lecturer will provide necessary materials. |
| 成績評価の方法・基準 ／Grading method/criteria |
- Participation to discussion in the classes: 30% - Report on research topic survey: 70% |
| 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.) |
- It will be introduced on lecture Web page. |
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| 開講学期 ／Semester |
2022年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
TEI Shigaku |
| 担当教員名 ／Instructor |
TEI Shigaku, TOMIOKA Yoichi |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
N/A |
| 更新日／Last updated on | 2022/01/25 |
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| 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 |
| 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. |