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Computational Economics ECON 332 (3)

Computational methods for solving and analyzing economic models. Topics include solving systems of equations, optimization, computing equilibria of economic models, computing dynamic and stochastic models, and data-driven estimation. Students will apply these methods to conduct economic analysis using a general-purpose programming language like Python. Prerequisite: ECON 201 and one of ECON 233, STAT 270, or STAT 271. Recommended: ECON 305.

Section Instructor Day/Time Location
Chenyu Hou
Jan 5 – Apr 10, 2026: Fri, 12:30–2:20 p.m.
Burnaby
D101 Jan 5 – Apr 10, 2026: Thu, 1:30–2:20 p.m.
Burnaby
D102 Jan 5 – Apr 10, 2026: Thu, 2:30–3:20 p.m.
Burnaby
D103 Jan 5 – Apr 10, 2026: Thu, 3:30–4:20 p.m.
Burnaby
D104 Jan 5 – Apr 10, 2026: Wed, 8:30–9:20 a.m.
Burnaby
D105 Jan 5 – Apr 10, 2026: Wed, 9:30–10:20 a.m.
Burnaby
D106 Jan 5 – Apr 10, 2026: Wed, 10:30–11:20 a.m.
Burnaby