Basic Seminar (C)

Basic Seminar (C)

General Courses

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School of Economics and Management

All

IACBG1GCA7

2.00Credits

講義・演習 (Lecture/Seminar)

Fall semester 2026

(Fall semester)

Jean-Baptiste SANFO

国際商経学部

English

1／7／11

In class and after the class

Office: Research Building I Room A 204

    

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1-1◎

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Course Objectives

This course aims to develop the fundamental academic skills required at university. Students will also learn how to think about their future careers.

Learning Outcomes

By the end of the course, students will be able to summarize group discussions and deliver presentations. They will also be able to connect their university learning with their future career paths.

Course Overview

Students will acquire fundamental academic skills through lectures, group discussions, presentations, and report writing. Moreover, the course will encourage students to think about their future through career education.

Course Schedule

    1.    Orientation
    2.    Course Registration Procedures
    3.    How to Use the Library
    4.    Rules for Group Learning
    5.    Career Education
    6.    Career Education
    7.    Computer Skills
    8.    Computer Skills II
    9.    Computer Skills III
    10.   Logical Thinking
    11.   Logical Thinking
    12.   Logical Thinking
    13.   How to Read Newspapers I
    14.   How to Read Newspapers II
    15.   Course Review and Summary

Hybrid (In-person)

• Classes combining in-person and remote formats
• Class hours: in-person ≥ remote, and since remote does not exceed in-person, not subject to the cap on distance-education credits

Limited permission for use

Students are required to comply with the University of Hyogo's policy regarding the use of generative AI tools. Generative AI may be used as a supplementary aid for learning activities such as drafting reports or conducting preliminary research, provided that students critically assess the content produced. Students are responsible for verifying the accuracy of all information, properly acknowledging sources and references, and ensuring that submitted work reflects their own understanding and independent effort. Assignments generated primarily by generative AI, or submitted without appropriate revision and original contribution, are not permitted.

If inappropriate use of generative AI is identified, the assignment may receive no credit or other academic measures may be taken in accordance with university regulations.

    

The lecturer will inform students on the necessary books and papers.

【Pre-Learning】Students will be provided with lecture notes and handouts beforehand. Please read them before the class.

【Post- Learning】Lecture notes and handouts will contain exercises or questions. Please review them after the class.

Guest lectures and regular group discussions are also scheduled.

Students may consult the instructor about feedback at any time.

Late arrivals and absences are, in principle, not permitted. In such cases, students must contact the instructor in advance.

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