Syllabus data

Teacher name ： Ryosuke SAKAI
Course Title
Advanced Microeconomics
Course Title in English
Advanced Microeconomics
Course Type
Major Courses
ー
Eligible Students
School of Economics and Management
Target Grade
2Year
Course Numbering Code
KCCBG2MCA1
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 (Lecture)
Eligible Year/Semester
Spring semester 2026
(Spring semester)
Instructor
Ryosuke SAKAI
Affiliation
School of Economics and Management
Language of Instruction
English
Related SDGs
N/a
Office Hours and Location
After class, in the classroom
Contact
ryosuke_sakai@em.u-hyogo.ac.jp

Corresponding Diploma Policy
A double circle indicates the most relevant DP number and a circle indicates the associated DP.
Corresponding Undergraduate School DP
1◎／3〇
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】
This lecture aims to gain a deep understanding of the market economy, its mechanisms, and social welfare through the study of standard price theory.

【Learning Outcome】
To understand the methods and analysis of standard microeconomic theory.
Subtitle and Keywords of the Class
【Subtitle】 Intermediate microeconomic theory

【Keywords】 Market economy, social welfare

Course Overview and Schedule
1. Introduction
2. Theory of Consumer Behavior I
3. Theory of Consumer Behavior II
4. Theory of Firm Behavior I
5. Theory of Firm Behavior II
6. Partial Equilibrium Analysis
7. General Equilibrium Analysis I
8. General Equilibrium Analysis II
9. Review I
10. Externalities
11. Public Goods I
12. Public Goods II
13. Social Choice
14. Social Welfare
15. Review II
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
Fully permitted
Precautions for using Generative AI
You may freely use generative AI when reviewing or working on assignments; however, do not copy the content generated by AI verbatim.
Textbook
Kandori M., Mighty Micrieconomics, Cambridge University Press, 2023
References
Varian, H. and M. Meritz, Intermediate Microeconomics: A Modern Approach 10th edition
Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
Preparation: Reading assigned materials (15h)

Review: Two assignments (20h), Reviewing the materials (30h)

Contents of Active Learning
Not applicable
Grading Criteria and Methods
Evaluation Criteria: Based on the understanding of microeconomic concepts and the accuracy of answers in assignments and the final exam, grades will be assigned as follows: S (90 points and above), A (80 points and above), B (70 points and above), C (60 points and above), and credit hours will be provided accordingly.

Evaluation Methods: Based on two assignments (40%) and the final exam (60%).
How to Disclose Assignments and Exam Results
Answer keys of assignments and the exam will be provided in the Universal Passport.
Precautions and Requirements for Course Registration
This lecture includes mathematical content. If students have not completed Microeconomics I and II, it may be challenging to fully grasp the material.
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.