Course ID:
Course Code & Number
ECON 321
Course Title
Advanced Macroeconomic Theory
Level
BS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Year of Study:
Junior
Semester:
Fall
Type of Course:
Elective
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: ECON 222
Co-requisites: NONE
Catalog Description
Mathematical modeling in macroeconomics. Inter-temporal consumption- saving and labor-leisure choice. Exogenous growth. Introduction to neo- classical growth model. Business cycles. Theories of unemployment.
Course Objectives
The aim of this course is to introduce students the mathematical modeling of macroeconomics. The course will provide students an introduction to inter-temporal consumption-saving and labor-leisure choice, exogenous growth, neo-classical growth model and business cycles.
Software Usage
Students will use MS Office applications (Word, Excel, Access, Power point) to work on their weekly assignments about 2 hours a week.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Explain inter-temporal consumption-saving and labor-leisure choice.
2. Analyze exogenous growth.
3. Describe neo-classical growth model.
4. Explain business cycles.
5. Explain unemployment theories.
6. Describe the role of government in consumer and firm decisions
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Peer Teaching
Demonstrating
Problem Solving
Case Study/Scenarion Analysis
Simulation & Games
Video Presentations
Oral Presentations/Reports
Guest Speakers
Web Searching
Assessment Methods and Criteria:
Test / Exam
Quiz
Case Studies / Homework
Presentation (Oral/Poster)
Assessment Methods and Criteria Others:
Design Content
Recommended Reading
Required Reading
1. Williamson. S.D., Macroeconomics. 2nd Edition. Addison Wesley, New York, 2005.
Grading
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
| Workload | Hrs |
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Course & Program Learning Outcome Matching: