Syllabus data

Teacher name ： Shigeki ISOGAI
Course Title
Thesis Seminar 1
Course Title in English
Thesis Seminar 1
Course Type
Major Courses
-
Eligible Students
School of Economics and Management
Target Grade
3Year
Course Numbering Code
KCCBG3MCA3
Credits
2.00Credits
The course numbering code represents the faculty managing the subject, the department of the target students, and the education category (liberal arts / specialized course). For detailed information, please download the separate manual from the upper right 'question mark'.
Type of Class
演習 (Seminar)
Eligible Year/Semester
Spring semester 2026
(Spring semester)
Instructor
Shigeki ISOGAI
Affiliation
School of Economics and Management
Language of Instruction
English
Related SDGs
1／2／3
Office Hours and Location
By appointment
Contact
To be announced in the first class

Corresponding Diploma Policy
A double circle indicates the most relevant DP number and a circle indicates the associated DP.
Corresponding Undergraduate School DP
1◎／3◎／4◎
Corresponding Graduate School DP
ー
Corresponding University-Wide DP
N/a
Academic Goals of Teacher Training Course
ー

Course Objectives and Learning Outcome
Course Objectives:
The seminar provides students with opportunities to present and refine their dissertation projects.

Learning Outcome:
Students are expected to work on their dissertation projects. By presenting and receiving feedback, writing the dissertation, and polishing it, students can enhance their academic skills in verbal communication, formal writing, analytic skills, and presentation skills. These overall skills will be students' lifetime assets throughout their professional careers.
Subtitle and Keywords of the Class
Subtitle of the Class:
Thesis study

Keywords of the Class:
Economics, Social science
Course Overview and Schedule
Course Overview:
The seminar aims to help students work with their dissertation projects. The seminar activities will be determined after consulting with the students.

Schedule:
To be determined after consulting with the students.
In-person/Remote Classification
In-person
Implementation Method and Remote Credit Limit Application
①In-person
・In-person classes only
・Not subject to the cap on distance-education credits
Uses of Generative AI
Fully permitted
Precautions for using Generative AI
In this course, the use of generative AI is fully permitted. Appropriate use of gen AI is even encouraged.
Please pay attention to the contents described in "Guidelines on the Use of Generative AI in Education at the University of Hyogo (For Students)".

Additional instructions based on the current state of the AI will be provided in the first class.
Textbook
Additional reference will be provided in the class when it is necessary.
References
Additional reference will be provided in the class when it is necessary.
Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
Preparation:
 Working with dissertation and preparing for presentations. (30h)
Review:
 Elaboration after feedback (30h)
Contents of Active Learning
The seminar format involves any kind of active learning opportunities. We will have discussions on each student's dissertation project.
Grading Criteria and Methods
The course evaluation is based on quality of presentation, contribution to discussions, and quality of dissertation projects. For example, students who come up with interesting research topic and present their research ideas well are likely to obtain high evaluations.
How to Disclose Assignments and Exam Results
Suggestions and feedbacks will be provided during discussions.
Precautions and Requirements for Course Registration
Practical Education
Not applicable.
Remarks
In cases where any differences arise between the English version and the original Japanese version, the Japanese version shall prevail as the official authoritative version.