Advanced ResearchII

Advanced ResearchII

Major Courses

Common Graduate School Subjects

Graduate School of Engineering

1Year

HETMA5MCA5

2.00Credits

実習 (Practical Training)

Fall semester 2026

(Spring semester)

Syoji Kobashi,Naotake Kamiura,Shinichiro Yamamoto,Norio Inui,工学専攻の全教授・全准教授（一部を除く）

Graduate School of Engineering

Japanese

3／7／9

Room 6313, Building 6, Himeji Engineering Campus
Thursdays, 12:10–13:00
Please make an appointment in advance via the Q&A function of the Universal Passport (UNIPA).

Please contact the instructor via the Q&A function of the Universal Passport (UNIPA).

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1◎／3◎／2〇

N/a

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[Course Objectives]
This course aims to cultivate the ability to conduct research independently and systematically in the field of intelligent information systems through literature review, research planning, research implementation, and presentation of research outcomes based on each student’s research topic. In addition, the course seeks to enhance students’ ability to appropriately present and discuss their own research in an academic context by understanding the positioning of prior studies in their specialized field.

[Learning Outcomes]
Upon completion of this course, students will be able to:

1. Survey and organize research papers in the field of intelligent information systems and logically explain their content and academic positioning.
2. Formulate a research plan for their own research topic, including research objectives, methodologies, and evaluation methods.
3. Clearly present and explain research progress and results through oral presentations and supporting materials.
4. Engage in constructive discussions by providing questions and opinions from a professional perspective on the research presentations of others.

Subtitle
Research Planning and Practice in Intelligent Information Systems

Keywords
Intelligent Information Systems, Research Planning, Literature Review, Research Presentation, Discussion

[Course Content]
This course is conducted based on each student’s research topic in the field of intelligent information systems. It focuses on literature review, research planning, research implementation, and presentation of research outcomes. Through progress reports, paper review presentations, and discussions, students deepen their research understanding and enhance their research execution skills.

[Course Schedule]
As this course is a research supervision and seminar-style course, the following activities are conducted flexibly according to each student’s research progress:

• Clarification of research topics and research questions
• Literature review and paper summary presentations
• Development and discussion of research plans
• Research progress reports and discussions
• Presentation of research results and comprehensive discussion

Hybrid (In-person)

This course is conducted primarily in a face-to-face format.
However, online sessions may be used when necessary, depending on research progress and supervision requirements.

Limited permission for use

When using generative AI, students must comply with the university guidelines titled “Guidelines for the Use of Generative AI in Education (for Students).”
In this course, the use of generative AI is permitted only for limited purposes, such as supporting literature review, organizing text structure, and proofreading language.
Submitting content generated by AI directly as research outcomes, assignments, or presentation materials is strictly prohibited.
If generative AI is used, students must clearly indicate the purpose and scope of its use and are responsible for verifying the accuracy and sources of the content.
If the use of generative AI exceeds the permitted scope, course credit may be denied or revoked.

No specific textbook is assigned.
Academic papers, specialized books, and review articles relevant to each student’s research topic will be designated by the instructor.

Depending on each student’s research topic, academic papers, specialized books, and review articles designated by the instructor will be used as reference materials.
When necessary, recent articles from international journals and conference proceedings will also be referenced.

[Preparation]
Before each session, students conduct literature review, refine their research plans, and prepare presentation materials as required for research supervision and discussions (approximately 30 hours in total).

[Review]
After each session, students revise and develop their research based on feedback and discussions, conduct additional literature review, carry out research activities, and summarize research outcomes (approximately 30 hours in total).

This course incorporates active learning in which students take a leading role in their research activities.
Specifically, students engage in research progress reports, paper review presentations, and interactive discussions with peers and the instructor, fostering bidirectional learning.
Through these activities, students enhance their understanding of research topics as well as their logical thinking, communication, and research execution skills.

[Evaluation Criteria]
Students are evaluated comprehensively based on their understanding of the research topic, the appropriateness of their research plan, research progress and outcomes, and their engagement in presentations and discussions.

[Evaluation Methods]
Final grades are determined based on the following components:

• Research progress and research content: 40%
• Contribution to presentations and discussions: 40%
• Reports and assignments: 20%

Evaluation results and feedback on assignments and research presentations will be provided primarily through in-class oral comments.
When necessary, additional feedback will be given via the class profile or related functions of the Universal Passport (UNIPA).

As this course focuses on research supervision, students are expected to engage in their research proactively and in a well-planned manner.
Students should devote sufficient effort to out-of-class learning, including literature review, research planning, and preparation for presentations.
All students must comply with research ethics and academic rules and avoid any inappropriate research practices or plagiarism.

Not applicable.

Details regarding research content and supervision methods will be provided individually according to each student’s research topic and progress.
When appropriate, guidance will also be given for conference presentations and journal paper submissions.