Calculus ｜ Syllabus data

Course Title

Calculus

Course Title in English

Calculus

Course Type

Major Courses

-

Eligible Students

School of Economics and Management

Target Grade

All

Course Numbering Code

KCCBG1MCA7

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

講義・演習 (Lecture/Seminar)

Eligible Year/Semester

Fall semester 2026

(Fall semester)

Instructor

Yuuki SHIRAISHI

Affiliation

School of Economics and Management

Language of Instruction

English

Related SDGs

4

Office Hours and Location

After each session

Contact

A Building (Research I Building), Room 423

Corresponding Diploma Policy

A double circle indicates the most relevant DP number and a circle indicates the associated DP.

Corresponding Undergraduate School DP

1◎

Corresponding Graduate School DP

ー

Corresponding University-Wide DP

N/a

Academic Goals of Teacher Training Course

ー

Course Objectives and Learning Outcome

* Purpose of this course
This course aims to familiarize students with the mathematics necessary for studying university level introductory economics.

* Intended Outcomes
After this course, students are expected to be able to be familiar with mathematics required for learning economics / business in university.

Subtitle and Keywords of the Class

Course Overview and Schedule

Course Content

- mathematical logic,

- calculus,
- sequences,
- differentiation,
- basic linear algebra.

* Course Schedule
1. Guidance to this seminar
2. Calculus 1: polynomial functions
3. Calculus 2: exponential functions
4. Calculus 3: logarithm functions
5. Sequence 1
6. Differentiation 1: polynomial functions

7. Differentiation 2: graphs
8. Differentiation 3: exponential functions

9. Differentiation 4: logarithm functions

10. Integration 1: polynomial functions
11. Integration 2: rational functions
12. Integration 3: other functions
13. Gaussian elimination (linear algebra)
14. Gaussian elimination (linear algebra)
15. Review

* Personal computers might be required.

In-person/Remote Classification

In-person

Implementation Method and Remote Credit Limit Application

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

Uses of Generative AI

Limited permission for use

Precautions for using Generative AI

When using generative AI, please pay attention to the contents described in “Guidelines on the Use of Generative AI in Education at the University of Hyogo (For Students)”.

Textbook

In-class materials and online resources

References

Suggestion and/or delivery when necessary

Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)

Students are required to prepare for and review each sessions for 4 hours.

Contents of Active Learning

In-class activities, such as solving mathematical problems, will be done.

Grading Criteria and Methods

In-class Activities and homework (50%),

Final Exam (50%)

How to Disclose Assignments and Exam Results

In-class activities are reviewed immediately. Exams are reviewed via LMS.

Precautions and Requirements for Course Registration

- All lectures will basically be provided on a “Face-to-face” basis. However, some lec tures might be delivered online following the development of COVID-19. Thus, it may b e required to prepare the necessary equipment, like a PC, a tablet, and Wi-Fi connectio ns, to attend the lectures.

- The actual delivery will be determined and announced at the beginning of the course , and subsequently, as necessary.

Practical Education

Not applicable

Remarks

The contents and order of the lectures may change depending on the progress of the course etc.

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.