I will teach the course in the 2025/26 academic year.
- The lectures will be in-person. The syllabus, slides and Python codes will be posted on Brightspace.
Announcements (See Brightspace)
- To install Python and Jupyter on your computer please use the following distribution: Anaconda
- To use Jupyter on an alternative server go to https://cybera.syzygy.ca/ and use your Google id to log in.
- To use the online version of Jupyter go to https://jupyter.org/try
ECON 457 - Syllabus (updated 9th Jan 2022).
Slides and Materials used in class (See Brightspace)
- INTRODUCTION
- ISSUES IN COMPUTATIONAL ECONOMICS
- PROGRAMMING TOOLS
- COMPUTER ARITHMETIC
- LINEAR EQUATIONS
- SYSTEMS OF LINEAR EQUATIONS
- THE IS-LM CLOSED ECONOMY MODEL
- ISSUES WITH SYSTEMS OF LINEAR EQUATIONS
- THE IS-LM OPEN ECONOMY MODEL
- ITERATIVE METHODS FOR LINEAR EQUATIONS
- THE IS-LM SMALL OPEN ECONOMY MODEL
- NON-LINEAR EQUATIONS
- THE AD-AS CLOSED ECONOMY MODEL
- NON-LINEAR EQUATIONS - NEWTON BASED METHODS
- A COURNOT MODEL
- OPTIMIZATION
- OPTIMAL PORTFOLIO THEORY
- OPTIMIZATION - NEWTON BASED METHODS
- SIMULATION METHODS
- INTEGRATION
- NUMERICAL INTEGRATION AND QUADRATURE
- DIFFERENTIATION
Labs and additional materials (See Brightspace)
- LAB 0
- LAB 1
- LAB 2
- LAB 3
- LAB 4
- LAB 5
- LAB 6
- LAB 7
- LAB 8
- LAB 9
- LAB 10
Assignments (See Brightspace)
- ASSIGNMENT COVER PAGE
- PROBLEM SET 1 (See Brightspace)
- PROBLEM SET 2 (See Brightspace)
- PROBLEM SET 3 (See Brightspace)
- PROBLEM SET 4 (See Brightspace)
- PROBLEM SET 5 (See Brightspace)
Past exams
- TAKE HOME EXAM 2018-19