Econ225 201 syllabus PDF

Title Econ225 201 syllabus
Author Eda Doğan
Course Mathematics for economists
Institution Bilkent Üniversitesi
Pages 1
File Size 41 KB
File Type PDF
Total Downloads 57
Total Views 163

Summary

Download Econ225 201 syllabus PDF


Description

˙Ihsan Do˘ gramacı Bilkent University ECON 225: Mathematics for Economists Fall 2020-2021 Instructor: Tarık Kara Office: MA-223 and A-117 Phone: (290) 1458 E-mail: [email protected] Lecture hours: Online Teaching Mode: Hybrid Teaching Mode:

Monday: Wednesday:

8:00 (spare hour), 9:00 15:30, 16:30

(A-125) (A-125)

Monday: 8:30 (spare hour), 9:30 Wednesday: 17:30, 18:30

(A-125) (A-125)

Office hours: To be announced Teaching Assistant: To be announced

Course description: This course is an introduction to the mathematical tools/concepts used in economic analysis. We will start with a very brief introduction to Euclidean vector spaces and Euclidean metric spaces that will be followed by optimization (both unconstrained and constrained). Then we go into a more detailed study of vector spaces and matrix theory. We will continue with a study of first order difference and differential equations. If time allows we will also study metric spaces. Now and then students will be asked to use MATLAB (or Octave) in homework questions. There will be a fair amount of algebra and calculus. A good background in calculus is essential. Textbook: The following book is available in the Meteksan bookstore: Textbook: Simon, C. and L. Blume, Mathematics for Economists, W.W. Norton & Company 1994. The following book (which is also available in Turkish) is also useful: Kevin Houston, How to think like a mathematician, Cambridge University Press 2009. Outline: The following is a rough outline of the topics that will be covered in the course (the last three topics will be covered if we have time). Introduction to Euclidean (vector and metric) spaces. Unconstrained optimization (Chapter 17 and 16). Constrained optimization (Chapter 18 and 19). Introduction to vector spaces (Chapter 10 and 11). Matrix algebra (Chapter 8 and 9). Difference equations (Chapter 23). Differential equations (Chapter 24). Dynamic programing. Homeworks, Exams, and Grading: Homeworks will be assigned almost every week. There will be no makeup for missed homeworks. There will be a midterm and a final exam. The material covered by the exams will be cumulative. The course grade will be based on the following components, weighted as follows: Homeworks Midterm exam Final exam

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