Thesis Seminar 2

Thesis Seminar 2

Major Courses

ー

School of Economics and Management

4Year

KCCBG4MCA3

2.00Credits

演習 (Seminar)

Fall semester 2026

(Fall semester)

GONG Yuanyuan

School of Economics and Management

English

8／9／12

After class or at A304, Research Building I (an appointment in advance is needed)

kyo@em.u-hyogo.ac.jp

1◎／3◎／4◎

ー

N/a

ー

[Aim of this class]
The aim of Thesis Seminar II is to support students in executing their research plan, conducting data analysis, and writing up the drafts of the thesis.
This course emphasizes critical thinking, academic rigor in interpreting results, and professional communication skills required for the final defense.
 
[Learning Objectives]
Students are expected to
1. Collect and organize data effectively according to the approved methodology.
2. Analyze data, interpret findings, and discuss implications in the context of existing literature.
3. Write the thesis in proper academic style.

data analysis, academic writing, thesis

[Contents] (Adjustments will be made according to the number of attendees.)
1. Introduction: Review previous work and confirm the tasks and schedule leading up to thesis submission.
2. Research progress presentations by students: students will take turns to present their progress on the execution of the research plan. Each student will have 2-3 individual presentations.
3. Refinement: final polishing to complete the thesis in preparation for submission.
4. Oral thesis defense: students deliver a presentation on their research in front of the class.

In-person

• In-person classes only
• Not subject to the cap on distance-education credits

Limited permission for use

In this course, the use of Generative AI (e.g., ChatGPT, Gemini, etc.) is permitted with strict limitations. The goal is to use AI as a tool, not a replacement for thinking process.
Students are permitted to use generative AI for the following situations:
1. Brainstorming: students may use AI to generate lists of potential topics or to narrow down a broad interest.
2. Clarification: students may use AI to explain complex concepts or theories they encounter in their learning process.

Students are NOT allowed to use AI for:
1. Generating core ideas or data for analysis.
2. Citing information sources. (AI often "hallucinates" non-existing citations. Students must read the references and cite them by themselves.)

TBD

Reading materials will be assigned during the classes.

Students are required to read the assigned chapter of a book or case study materials. Preparation before class should take 1~2 hours per week.
Students must submit a final report. Studying time out of class is estimated to be around 30~40 hours.

Students will have opportunities to participate in discussions and group work in almost every class.

The academic performance of the students will be assessed based on
1) contribution to the class (i.e., remarks, discussions, groupwork) (20%);
2) individual presentation on the assigned content (50%);
3) final oral thesis defense (30%).

Feedback and comments will be given during the classes.

n/a