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ECON 303

Course ID:
Course Code & Number
ECON 303
Course Title
Mathematical Economics
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: MATH 102
Co-requisites: NONE
Catalog Description
Mathematics for advanced economic analysis. Optimization under inequality constraints. Dynamic economic models. Differential and difference equations and dynamic optimization. Optimal control theory.
Course Objectives

The main objective of this course is to provide mathematics for advanced economic analysis and to show how mathematical techniques may be applied to economic modelling. Students would understand the optimization under inequality constraints, dynamic economic models, differential and difference equations and optimal control theory.

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. Recall main concepts such as matrix algebra and vector spaces. 
2. Solve optimization problems under inequality constraints. 
3. Formulate economic problems mathematically. 
4. Apply mathematical techniques to economic problems in both dynamic and static settings.
5. Interpret mathematical formulations of economic problems
6. Analyze dynamic economic models. 
7. Solve difference and differential equations. 
8. Solve dynamic optimization models. 
9. Describe optimal control theory. 

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
1. Baldani. J., J. Bradfield and R. W. Turner, Mathematical Economics. 2nd Edition, South-Western College Pub., Cincinnati, 2004.
Required Reading
1. Wainwright. K. and A. Chiang, Fundamental Methods of Mathematical Economics. 4th Edition, McGraw-Hill/Irwin, New York, 2004.
Grading
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
WorkloadHrs
Course & Program Learning Outcome Matching: