Syllabus data

Course Title
Microeconomics
Course Title in English
Microeconomics
Course Type
-
Core Specialized Courses
Eligible Students
Graduate School of Social Sciences
Target Grade
All
Course Numbering Code
KCWMS5MCA1
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
Fall semester 2026
(Fall semester)
Instructor
Shigeki ISOGAI
Affiliation
Graduate School of Social Sciences
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
Corresponding Graduate School DP
4◎/5〇
Corresponding University-Wide DP
N/a
Academic Goals of Teacher Training Course

Course Objectives and Learning Outcome
Course Objectives:
The course aims to provide students with expertise in microeconomic theory. We cover standard topics appropriate to graduate studies.

Learning Outcome:
The students will be able to understand the ideas and concepts of microeconomics. The (somewhat ambitious) goal is that students will be able to read academic papers published in internationally renowned journals and to apply microeconomic ideas to real-world problems.
Subtitle and Keywords of the Class
Subtitle of the Class:
Learning microeconomic framework for professionals.

Keywords of the Class:
Microeconomics, Price theory, Game theory
Course Overview and Schedule
Course Overview:
Microeconomics is a field of economics that studies how each individual makes economic decisions and then how those individual behaviors affect the economy. It also provides us with a tool to analyze various social phenomena in a logically consistent way. Such knowledge in economics is widely applied to economic policies and businesses in some countries such as the U.S. (and recently in Japan). For example, studying markets provides us with insights on how to regulate markets; game theory is a useful tool to analyze various situations encountered in business settings and is sometimes directly applied to gain profits in some business fields.

The course covers standard topics in microeconomics, i.e. game theory and price theory. Also, the course is self-contained. In particular, relevant mathematical knowledge is also explained in the class.


Schedule:
The tentative schedule is as follows:
Week 1: Introduction and preliminaries
Week 2: Simple analysis of games: Backward induction
Week 3: Simultaneous-move games: Rationalizability and Nash equilibrium
Week 4: Simultaneous-move games: Mixed strategies
Week 5: Dynamic games of imperfect information
Week 6: Repeated interactions
Week 7: Incomplete-information games
Week 8: Dynamic games of incomplete information
Week 9: Decision theory: deterministic and uncertainty cases
Week 10: Economics of information
Week 11: Demand and supply curves
Week 12: Market analysis: Partial equilibrium analysis
Week 13: Market analysis: General equilibrium analysis
Week 14: Market failures
Week 15: Evaluation

The standard topics and tools of microeconomics, with emphasis on game theory and information economics, are covered. In the first 10 lectures, relatively modern frameworks in microeconomics are discussed. Then, we study market analyses. The final week is devoted to check understanding of students by an exam.


Note: While not relevant to evaluation, students are allowed to use generative AI to help their self-study. However, they need to be aware that the currently used AIs (such as chatGPT) do not necessarily tell you correct statements about your inputs (particularly when you ask something academic or professional). It is their responsibility to make a "fact-check" on the output.

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
The lecture notes are provided by the instructor.
References
The standard graduate textbooks are
Mas-Colell, Whinston, and Green, "Microeconomic Theory"
Hal Varian, "Microeconomic Analysis"

If the textbooks above are tough, the student can also consult
Hal Varian, "Intermediate Microeconomics: A Modern Approach,"

For game theory, the following textbooks are also recommended
Steven Tadelis, "Game Theory: An Introduction," and
Robert Gibbons, "Game Theory for Applied Economists."
Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
[Preparation] Reading the lecture notes beforehand (30h)
[Review] Checking your understanding of the course materials (30h)

Contents of Active Learning
Due to the nature of a theoretical course, hours for "explicit" active learning are not reserved (e.g. group activity or discussion). However, any questions and spontaneous discussions from students are always welcome.
Grading Criteria and Methods
The evaluation is based on the understanding of the economic and related mathematical framework. It will be measured by the final exam.
How to Disclose Assignments and Exam Results
The course materials (such as lecture notes and review exercises) will be provided through the instructor's website.
Comments to final exam and the way exam scores are disclosed are going to be announced through the university system.
Precautions and Requirements for Course Registration
While the instructor understands the diversity of the academic background of the students, the class must achieve a certain academic goal that is appropriate for graduate studies. The students are strongly recommended to prepare for the mathematical preliminaries before they take the course and are encouraged to review each class's material very well.
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.