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

Math 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

Math Instructor Prof. Steven Tschantz, Dept. of Math Office: SC1507 Phone: Office hours: TWR 1:10-2:00 and by appointment

Math 267 – Special Lecturer Prof. Luke Froeb, Owen Graduate School of Management Office: Owen 351 Phone:

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 to Final project details to be announced.

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.

Math 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

Math 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.