Professor Peter Cramton
Tuesdays and Thursdays, 11-11:50 am, Marie Mount Hall 1400, Spring 2014
The methodology of economics employs mathematical and logical tools to model and analyze markets, national economies, and other situations where people make choices. Understanding of many economic issues can be enhanced by careful application of the methodology, and this in turn requires an understanding of the various mathematical and logical techniques. This course reviews concepts and techniques usually covered in algebra, analytical geometry, and the first semester of calculus. It also introduces the components of subsequent calculus and linear algebra courses most relevant to economic analysis. The course emphasizes the reasons economists use mathematical concepts and techniques to model behavior and outcomes.
The course will meet three times a week, twice for lectures and once in discussion section conducted by a teaching assistant. Lectures will demonstrate the power of math to answer economic questions, stressing the reasons economists use math and explaining mathematical logic and techniques. Discussion sections will demonstrate solutions for problems, answer questions about material presented in the lectures or book, and focus on preparing students for exams.
Students should be prepared to devote at least 4 hours per week outside class meetings, primarily working on problem sets as well as reviewing materials and practicing. Students with weak math skills will need to spend additional time mastering techniques.
Each student should be able by the end of the semester to
- Recognize and use the mathematical terminology and notation typically employed by economists
- Explain how specific mathematical functions can be used to provide formal methods of describing the linkages between key economic variables
- Employ the mathematical techniques covered in the course to solve economic problems and predict economic behavior
- Explain how mathematical concepts enable economists to analyze complicated problems and generate testable hypotheses
Hector Lopez, Tydings 4101D, Office hours Tue 2:30-3:30, Fri 12-1:00
section 2 Fri 9am Tydings 2102
section 3 Fri 10am Tydings 2102
section 5 Fri 11am Tydings 2110
Gloria Chen, Tydings 4128, Office hours Mon 1-2, Fri 11-12
section 1 Fri 9am Tydings 1114
section 4 Fri 10am Tydings 1132
section 6 Fri 12pm Tydings 1108
Academic Achievement Programs Tutor for Econ 300: Ryan Suess
There are six problem sets. Answers will be posted after the due date at the following links: PS1, PS2, PS3, PS4, PS5, PS6. If it is after the due date and you still see “Suggested Answers are not yet available.” then press F5 to refresh the page.
Here are some relevant Mathematica Demonstrations of topics in this course.
Class Schedule and Materials
Note well: the schedule may change as a result of snow events and other factors. Please watch your email for notification of such changes, which will then be reflected below once you press F5 to refresh the page.
Feb 4 02 – An Introduction to Functions (continued)
Feb 7 Problem set 1 due
Feb 11 03 – Logarithmic Functions, Visual Guide to Simple, Compound, and Continuous Interest Rates
Feb 20 05 – Basics of Differential Calculus (continued)
Feb 21 Problem set 2 due
Feb 25 05 – Basics of Differential Calculus (continued)
Mar 6 06 – Univariate Calculus – Elasticity
Mar 7 Problem set 3 due
Mar 13 07 – Multivariate Calculus (continued)
Apr 1 09 – Extreme Values of Multivariate Functions (continued)
Apr 3 09 – Extreme Values of Multivariate Functions (continued)
Apr 4 Problem set 4 due
Apr 15 10 – Constrained Optimization (continued)
Apr 17 10 – Constrained Optimization (continued)
Apr 18 Problem set 5 due
May 2 Problem set 6 due
May 6 14 – Game Theory (continued)
May 8 15 – Market Games
May 13 Review