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Graduate Course Proposal Form Submission Detail - ECO6405
Tracking Number - 1874
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Current Status:
Approved, Permanent Archive - 2005-11-10
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Detail Information
- Date & Time Submitted: 2005-02-10
- Department: Economics
- College: BA
- Budget Account Number: 00-1403-00
- Contact Person: Michael Loewy
- Phone: 46532
- Email: mloewy@coba.usf.edu
- Prefix: ECO
- Number: 6405
- Full Title: Mathematical Economics
- Credit Hours: 3
- Section Type: C -
Class Lecture (Primarily)
- Is the course title variable?: N
- Is a permit required for registration?: N
- Are the credit hours variable?: N
- Is this course repeatable?:
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Mathematical Economics
- Course Online?: -
- Percentage Online:
- Grading Option:
R - Regular
- Prerequisites: ECO 3101 or ECO 6114 or CC
- Corequisites:
- Course Description: Develops the fundamental tools of mathematics needed for graduate study in economics: set theory, linear algebra, equilibrium analysis, calculus, and unconstrained and constrained optimization. Also includes a review of special functions.
- Please briefly explain why it is necessary and/or desirable to add this course: This course provides MA and PhD students with the necessary mathematical tools to do graduate work in economics.
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? This course is required of both our MA and PhD students. It is also frequently taken by graduate students in finance. As such the demand for this course is strong.
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes. Six times.
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Instructor must have a PhD in economics.
- Objectives: To prepare students for graduate study in economics. Upon completion of the course students should feel comfortable both reading and writing economic articles with substantial mathematic development.
- Learning Outcomes: Students master the basic mathematics tools of economics, including set theory, linear algebra and calculus, as well as special functions frequently used in economics.
- Major Topics: Matrix algebra, Differentiation, Optimization with single and multiple choice variables, Optimization with contraints, Dynamic analysis.
- Textbooks: Chiang, Alpha C. "Fundamental Methods of Mathematical Economics," 3rd ed., McGraw-Hill.
- Course Readings, Online Resources, and Other Purchases:
- Student Expectations/Requirements and Grading Policy:
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- Policy on Make-up Work:
- Program This Course Supports:
- Course Concurrence Information:
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.