AY 2026 Graduate School Course Catalog

Seminars

2026/02/19

Open Competency Codes Table Back

開講学期
/Semester
2026年度/Academic Year  4学期 /Fourth Quarter
対象学年
/Course for;
1st year , 2nd year
単位数
/Credits
2.0
責任者
/Coordinator
ROY Debopriyo
担当教員名
/Instructor
ROY Debopriyo
推奨トラック
/Recommended track
先修科目
/Essential courses
This syllabus is a general guide and can be adjusted based on the specific needs and resources available to the instructor and the institution. The focus on group projects ensures that students not only master individual presentation skills but also learn to collaborate effectively in a research team setting. Regular critique and feedback sessions foster a culture of continuous improvement in presentation abilities.
更新日/Last updated on 2026/01/30
授業の概要
/Course outline
This graduate-level seminar focuses on developing advanced skills in academic research presentation, with an emphasis on oral and media-driven communication. Students will work in groups to conduct a bibliometric analysis on topics related to AI applications in business or smart environment. Through a series of workshops, presentations, conference participation and critiques, participants will refine their abilities to effectively communicate complex research findings, both verbally and visually. The course will also include working with UML diagrams as follow-up analysis from the bibliometric analysis.


Preferred (not required) Prerequisites:
Completion of foundational courses in research methods and data analysis
Familiarity with AI applications in business
Proficiency in creating and delivering presentations
授業の目的と到達目標
/Objectives and attainment
goals
As part of this course, students will be completing an AI-based project in your group. The group will likely have 4-5 members. Groups are to be set up during the 1st class session.

The project will focus on the following tasks:
Content Selection & Preparation
Research with Bibliometric Analysis
Schema Design with UML Diagram
Presentation Design
Oral Presentation Skills

As part of this course, students will be actively taking part in the ETLTC-ICETM-ICES international conference with a networking assignment, poster presentation & Q&A during regular conference presentations.
授業スケジュール
/Class schedule
Introduction to Bibliometric Analysis & Presentation Skills (Weeks 1)
Overview of bibliometric analysis
Selection and evaluation of relevant literature
Establishing research questions and objectives
Conference Abstract Preparation

Literature Review Techniques (Weeks 2)
Systematic literature review methods
Identifying key research themes and gaps
Critically assessing and synthesizing existing literature

Data Collection and Bibliometric Tools (Weeks 3)
Introduction to bibliometric data sources (e.g., Scopus, Web of Science)
Data collection methods for bibliometric analysis
Hands-on exercises using bibliometric tools

Presentation & Poster Design (Weeks 4)
Crafting an engaging research narrative
Effective structuring of oral presentations
Techniques for delivering clear and impactful presentations

Visual Aids and Media-Driven Presentations (Weeks 5)
Design principles for visual aids (slides, charts, graphs)
Integrating media elements into presentations
Practice creating visually appealing and informative slides
UML diagramming

Conference Participation (Weeks 6)
Poster Presentation
Intercultural Pre-Conference Workshop
Participation at the Special Technical Communication Session
Poster Presentation

Conference Presentation Preparation & Final Paper (Week 7)
Video Recording for the Final Conference Presentation in May
Final Paper Preparation for Conference Submission

The course will include:
In-class presentation of group projects in stages
Peer reviews and constructive feedback
Reflection on presentation strengths and areas for improvement
教科書
/Textbook(s)
References:

"Designing Science Presentations: A Visual Guide to Figures, Papers, Slides, Posters, and More" by Matt Carter
"Presentation Zen: Simple Ideas on Presentation Design and Delivery" by Garr Reynolds

* No need to buy textbooks exclusively for this course.
成績評価の方法・基準
/Grading method/criteria
Assignment 1: Introduction to the Project (no slide)—10%
Assignment 2: 10-Slide Planning Presentation—10%
Assignment 3: Visual Explanation of the Project—15%
Assignment 4: Presentation of the Bibliometric Analysis (Stage 1—Most Cited Papers)—10% (From Slides + Based on Text Paragraph without Slides)
Assignment 5: Presentation of Results of VoSViewer (Stage 2)—15%
Assignment 6: Using Prompt Engineering to Compile the Results into a 3-page technical report—10%
Assignment 7—UML Diagramming (Conceptual Analysis) - 15%
Assignment 8—Final Presentation—15% (Includes Discussion + Conclusion of the Project)

Note: Individual grades and group grades may differ
Note: Grading in this course = Research ability + Group collaboration + Classroom Interactivity + Oral Presentation Skills + Ability to handle questions from the audience
履修上の留意点
/Note for course registration
Students enrolled in the EFP course will work on different stages of a single, assigned project that spans from the beginning to the end of the course.
The course instructor will predetermine the project topic and its various stages to foster students' professional development skills.
The course will conclude with a final team presentation, which may be included as part of an annual ETLTC international conference.
As an optional post-course activity, the course instructor may compile materials from the final presentation and other assignments into a research paper.
Team members will be included as co-authors of the paper with the course instructor.
Participation in the paper authorship is entirely optional and will not influence course grades.
Students who choose not to participate as co-authors can opt out by submitting a simple online declaration.
The final team presentation will be graded, but the final paper is not part of the course and will not be graded.


Open Competency Codes Table Back

開講学期
/Semester
2026年度/Academic Year  4学期 /Fourth Quarter
対象学年
/Course for;
1st year , 2nd year , 3rd year
単位数
/Credits
2.0
責任者
/Coordinator
ROY Debopriyo
担当教員名
/Instructor
ROY Debopriyo
推奨トラック
/Recommended track
先修科目
/Essential courses
This syllabus is a general guide and can be adjusted based on the specific needs and resources available to the instructor and the institution. The focus on group projects ensures that students not only master individual presentation skills but also learn to collaborate effectively in a research team setting. Regular critique and feedback sessions foster a culture of continuous improvement in presentation abilities.
更新日/Last updated on 2026/01/30
授業の概要
/Course outline
This graduate-level seminar focuses on developing advanced skills in academic research presentation, with an emphasis on oral and media-driven communication. Students will work in groups to conduct a bibliometric analysis on topics related to AI applications in business or smart environment. Through a series of workshops, presentations, conference participation and critiques, participants will refine their abilities to effectively communicate complex research findings, both verbally and visually. The course will also include working with UML diagrams as follow-up analysis from the bibliometric analysis.


Preferred (not required) Prerequisites:
Completion of foundational courses in research methods and data analysis
Familiarity with AI applications in business
Proficiency in creating and delivering presentations
授業の目的と到達目標
/Objectives and attainment
goals
As part of this course, students will be completing an AI-based project in your group. The group will likely have 4-5 members. Groups are to be set up during the 1st class session.

The project will focus on the following tasks:
Content Selection & Preparation
Research with Bibliometric Analysis
Schema Design with UML Diagram
Presentation Design
Oral Presentation Skills

As part of this course, students will be actively taking part in the ETLTC-ICETM-ICES international conference with a networking assignment, poster presentation & Q&A during regular conference presentations.
授業スケジュール
/Class schedule
Introduction to Bibliometric Analysis & Presentation Skills (Weeks 1)
Overview of bibliometric analysis
Selection and evaluation of relevant literature
Establishing research questions and objectives
Conference Abstract Preparation

Literature Review Techniques (Weeks 2)
Systematic literature review methods
Identifying key research themes and gaps
Critically assessing and synthesizing existing literature

Data Collection and Bibliometric Tools (Weeks 3)
Introduction to bibliometric data sources (e.g., Scopus, Web of Science)
Data collection methods for bibliometric analysis
Hands-on exercises using bibliometric tools

Presentation & Poster Design (Weeks 4)
Crafting an engaging research narrative
Effective structuring of oral presentations
Techniques for delivering clear and impactful presentations

Visual Aids and Media-Driven Presentations (Weeks 5)
Design principles for visual aids (slides, charts, graphs)
Integrating media elements into presentations
Practice creating visually appealing and informative slides
UML diagramming

Conference Participation (Weeks 6)
Poster Presentation
Intercultural Pre-Conference Workshop
Participation at the Special Technical Communication Session
Poster Presentation

Conference Presentation Preparation & Final Paper (Week 7)
Video Recording for the Final Conference Presentation in May
Final Paper Preparation for Conference Submission

The course will include:
In-class presentation of group projects in stages
Peer reviews and constructive feedback
Reflection on presentation strengths and areas for improvement
教科書
/Textbook(s)
References:

"Designing Science Presentations: A Visual Guide to Figures, Papers, Slides, Posters, and More" by Matt Carter
"Presentation Zen: Simple Ideas on Presentation Design and Delivery" by Garr Reynolds

* No need to buy textbooks exclusively for this course.
成績評価の方法・基準
/Grading method/criteria
Assignment 1: Introduction to the Project (no slide)—10%
Assignment 2: 10-Slide Planning Presentation—10%
Assignment 3: Visual Explanation of the Project—15%
Assignment 4: Presentation of the Bibliometric Analysis (Stage 1—Most Cited Papers)—10% (From Slides + Based on Text Paragraph without Slides)
Assignment 5: Presentation of Results of VoSViewer (Stage 2)—15%
Assignment 6: Using Prompt Engineering to Compile the Results into a 3-page technical report—10%
Assignment 7—UML Diagramming (Conceptual Analysis) - 15%
Assignment 8—Final Presentation—15% (Includes Discussion + Conclusion of the Project)

Note: Individual grades and group grades may differ
Note: Grading in this course = Research ability + Group collaboration + Classroom Interactivity + Oral Presentation Skills + Ability to handle questions from the audience
履修上の留意点
/Note for course registration
Students enrolled in the EFP course will work on different stages of a single, assigned project that spans from the beginning to the end of the course.
The course instructor will predetermine the project topic and its various stages to foster students' professional development skills.
The course will conclude with a final team presentation, which may be included as part of an annual ETLTC international conference.
As an optional post-course activity, the course instructor may compile materials from the final presentation and other assignments into a research paper.
Team members will be included as co-authors of the paper with the course instructor.
Participation in the paper authorship is entirely optional and will not influence course grades.
Students who choose not to participate as co-authors can opt out by submitting a simple online declaration.
The final team presentation will be graded, but the final paper is not part of the course and will not be graded.


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
2.0
責任者
/Coordinator
JING Lei
担当教員名
/Instructor
JING Lei, - -
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2026/01/23
授業の概要
/Course outline
This course introduces the basic knowledge needed for a global business startup and provides students with the opportunity to explore a variety of ideas and prototypes in an open innovation environment.

In addition, this course will provide you with the opportunity to learn about trends in advanced ICT fields and Design Thinking, such as the experience of Silicon Valley and venture startups.
授業の目的と到達目標
/Objectives and attainment
goals
Students have the opportunity to learn the trends, approaches, and experiences of advanced ICT areas and consider the importance and approach of launching a global venture.
At the end of the course, students will be able to:
・ Understand basic knowledge and skills of global business
・ Acquisition and experience of five stages of “design thinking” of “Empathy, Definition, Ideation, Prototype, Test” born in Silicon Valley
・ Draft business model and business plan
授業スケジュール
/Class schedule
The first half: the first six lectures are intensively held in a week around August
1 Course Outline: What is a Global Venture?
2 Introduction of Silicon Valley: Why did Silicon Valley get the world's attention?
3 Development method, idea creation, discover user needs
4 Technology required for global ventures . For example, an internet robot.

The second half: Intensive lecture (8 lectures) on 2 days from December to January
5 Design thinking and business model

We plan to arrange the lecture days and  time between the registered students and the instructors.


教科書
/Textbook(s)
Web pages provided by internal and external teachers
成績評価の方法・基準
/Grading method/criteria
・Attending the activities in the lectures, such as answering quiz, discussion 30%
・Presentation  in design thinking lectures and final report as summary of the presentation  70%
履修上の留意点
/Note for course registration
・Having a global perspective and feeling not only in Japan but also in the world.
・Always pay attention to the needs of overseas ICT-advanced areas, such as Silicon Valley, Dalian, and Shenzhen.



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
単位数
/Credits
2.0
責任者
/Coordinator
DANG Nam Khanh
担当教員名
/Instructor
DANG Nam Khanh, ROY Debopriyo, KACHI Yasuyuki, VIGLIETTA Giovanni, NASSANI Alaeddin
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2026/01/19
授業の概要
/Course outline
This course provides a general way of writing research papers targeted at top journals or conferences in computer science and engineering disciplines mainly for PhD candidates and Master students.
授業の目的と到達目標
/Objectives and attainment
goals
The students will develop the skills and methods required for each step of the research paper publishing process, including conducting a literature survey, preparing and organizing content, writing and refining the manuscript, adhering to ethical writing practices, submitting the paper, responding to reviews, handling rebuttals and revisions, and achieving publication.
授業スケジュール
/Class schedule
Session 1: Introduction to Research Paper Writing (RPW1)
Session 2: Literature Survey and Review
Session 3: Paper Structure and Organization
Session 4: Scientific Expression and Clarity
Session 5: Writing the Title and Abstract
Session 6: Writing the Introduction
Session 7: Writing Technical Content (Part 1)
Session 8: Writing Technical Content (Part 2)
Session 9: Presenting and Interpreting Results
Session 10: Paper Formatting, Submission, and Ethical Considerations
Session 11: Revision and Rebuttal
Session 12: Invited Talk by a PhD Student/Postdoc
Session 13: Invited Talk by a Conference/Journal Chair
Session 14: Invited Talk by a Journal Editor
教科書
/Textbook(s)
None.
成績評価の方法・基準
/Grading method/criteria
Class activities: 50%
Paper draft: 50%
履修上の留意点
/Note for course registration
1. All lectures are given in English.
2. It is preferred that you already have a research idea or paper draft. Otherwise, you have nothing to submit in our final task.
3. Course website: Moodle


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
2.0
責任者
/Coordinator
PHAM Tuan Anh
担当教員名
/Instructor
PHAM Tuan Anh, VILLEGAS OROZCO Julian Alberto, ILIC Peter
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2026/02/06
授業の概要
/Course outline
The course is designed for doctoral students. It is recommended that all 1st year PhD students to take the course. The course mainly focuses on equipping students with necessary skills in scientific paper writing and submission process.
授業の目的と到達目標
/Objectives and attainment
goals
Upon completion of the course, students are expected to be able to understand the basic concepts of: (1) general writing basics, (2) the requirements of steps in scientific paper writings, from how to prepare title, abstract, introduction, method, results, discussion, acknowledgement to reference, (3) the process of publishing papers, from how to prepare manuscript, cover letter, how to submit, communicate with editor during the review process, and how to write response letters, and (4) several other topics related to academic careers such as how to write a review paper, opinion, and an academic CV.
授業スケジュール
/Class schedule
1. Course introduction: self-introduction, skill survey, diagnostic tests
2. Basics of writing: from sentences, paragraph to a complete essay – essay 1
3. Preliminary of scientific paper writing
4. How to prepare the Abstract – essay 2
5. How to write the Introduction – essay 3
6. Methods and Analysis Section – essay 4
7. Results and Discussion – essay 5
8. How to write the Conclusions – essay 6
9. Acknowledgement and Reference
10. Process of paper publishing
11. How to communicate with Editor: cover and response letters – essay 7
12. Others: how to review papers
13. Others: How to prepare your CV
14. Course review
教科書
/Textbook(s)
No textbook required. Course materials will be provided by the instructor.
成績評価の方法・基準
/Grading method/criteria
- Active participation and discussion in classes: 30%
- Essay grading: 70%, 10% for each essay
- Bonus: +10% in case you submit (at least) a paper (journal or conference) during the course
履修上の留意点
/Note for course registration
Note: Workload 90 hours, including
- In-class Lectures: 45 hours
- Lecture preparation and assignments: 45 hours;

One lecture/week (total 14 weeks)
+ each lecture:  un to 1 hour for Pre-lecture preparation + 2.5 hours for assignment = up to 3.5 hours/week.
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
Course website: Moodle


Responsibility for the wording of this article lies with Student Affairs Division (Academic Affairs Section).

E-mail Address: sad-aas@u-aizu.ac.jp