Syllabus data
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Teacher name ： Yasuyuki OSUMI
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Course Title
Advanced Macroeconomics
Course Title in English
Advanced Macroeconomics
Course Type
Major Courses
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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
Fall semester 2026
(Fall semester)
Instructor
Yasuyuki OSUMI
Affiliation
Faculty of Economics and Management
Language of Instruction
English
Related SDGs
8／9／10
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
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Course Objectives and Learning Outcome
Course Objectives:
The course is to provide the basic knowledge of the mechanisms of business cycles and economic growth in the medium-run and the long-run macroeconomics. During this course, we also address a number of policy implications such as stabilizing the business cycle and enhancing the productivities in firm level and in the macroeconomy. Learning Outcome: By the end of the course, students are able to use macroeconomic tools to analyze medium-run, and long-run macroeconomic phenomena in the real world. Subtitle and Keywords of the Class
Course Overview and Schedule
1. Introduction
2. Method of macroeconomic analysis 3. The Short-Run: IS-LM framework: learning the basics of macroeconomic approach 4. Goods market 5. Financial markets 6. IS-LM model 7. Fiscal policy and monetary policy: learning the basic stabilization policies 8. Midterm examination 9. The Medium-Run: AD-AS framework: learning the basic mechanism of business cycle 10. Labor market 11. AD-AS model 12. Business cycles 13. The Long-Run: learning the mechanism of economic growth 14. Capital accumulation and technical progress 15. Solow growth model: learning the basic mechanism and the growth enhancing policies 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
Completely forbidden
Precautions for using Generative AI
In this course, the use of generative AI is strictly prohibited. Any use during class is forbidden, and if a violation is discovered, credits may not be granted or may be revoked.
Regardless of whether generative AI is used or not, students must pay attention to the contents described in “Guidelines on the Use of Generative AI in Education at the University of Hyogo (For Students)” Textbook
Blanchard,O.J., Macroeconomics, 9th edition Pearson,2021.
References
Jones,C.I. Introduction to Economic Growth, Norton
Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
Learning the textbook and the uploaded materials. Exercising the questions and problems. totally 4 hours.
Contents of Active Learning
該当しない。
Grading Criteria and Methods
Midterm Exam (40％), Final Exam (60%)
How to Disclose Assignments and Exam Results
About midterm exam, the evaluation is presented in the class.
About final exam, the evaluation is upload in the universal passport. Precautions and Requirements for Course Registration
Practical Education
該当しない。
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.
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