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Math 267 Mathematical Models in Economics

Math 267 Mathematical Models in Economics. Prof. Steven Tschantz Spring 2003. Math 267 - Schedule. Classroom: SC2200 (Microcomputer Lab) Times: TR 2:35-3:50 Meeting January 9 to April 22 except March 4 and 6 (spring break), 28 meetings

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Math 267 Mathematical Models in Economics

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  1. Math 267 Mathematical Models in Economics Prof. Steven Tschantz Spring 2003

  2. Math 267 - Schedule • Classroom: SC2200 (Microcomputer Lab) • Times: TR 2:35-3:50 • Meeting January 9 to April 22 except March 4 and 6 (spring break), 28 meetings • Lecture topics, assignments, and other materials will be posted on the web at http://math.vanderbilt.edu/~tschantz/m267/

  3. Math 267 - Instructor • Prof. Steven Tschantz, Dept. of Math • Office: SC1507 • Phone: 2-6664 • Email: tschantz@math.vanderbilt.edu • Office hours: TWR 1:10-2:00 and by appointment

  4. Math 267 – Special Lecturer • Prof. Luke Froeb, Owen Graduate School of Management • Office: Owen 351 • Phone: 3-6009 • Email: luke.froeb@owen.vanderbilt.edu

  5. Math 267 – Grading • Grades will be based on daily assignments and a final project and presentation (worth about ¼ of your grade). There will be no final exam. • Daily assignments will be in the form of Mathematica notebooks to be completed. Completed notebooks are to be submitted by email to tschantz@math.vanderbilt.edu • Final project details to be announced.

  6. Math 267 – Honor code • For this course, I expect students to discuss assignments, cooperate in developing solutions, share computer code, and generally assist each other in learning the material. I will always be available as a source of such assistance. I expect that the material each student submits as solutions to assignments will be their own work, not a copy of someone else’s work, representing their own understanding of the problems and solutions. In case of substantial use of another’s work or of joint work of students, such contribution shall be appropriately noted.

  7. Math 267 - Topics • Mathematical modeling • Representing problems mathematically • Applying mathematical solution techniques • Interpreting results and refining • Economic topics (microeconomics) • Supply, demand, competition, pricing, mergers, auctions, bargaining, econometrics • Computation with Mathematica

  8. Math 267 - Introduction • This is a math course (but applied math). • The main topic is mathematical modeling. • Economics is a rich domain for modeling. • Interesting problems arise in consulting. • Real questions require real answers. • Mathematica enables computing models. • There is a lot to learn to use Mathematica.

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