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ECSE 343 — Numerical Methods in Engineering

Number representation and numerical error. Symbolic vs. numerical computation. Curve fitting and interpolation. Numerical differentiation and integration. Optimization. Data science pipelines and data-driven approaches. Preliminary machine learning. Solutions of systems of linear equations and nonlinear equations. Solutions of ordinary and partial differential equations. Applications in engineering, physical simulation, CAD, machine learning and digital media.

  • Rating: 2.67 out of 5 from 57 student reviews
  • Difficulty: 4.00 out of 5
  • Credits: 3
  • Faculty: Faculty of Engineering
  • Department: Electrical & Computer Engr
  • Prerequisites: ECSE 205, MATH 263 and (ECSE 250 or COMP 250) or GEPR 221

Sections offered

  • Section 001 (Lec), Tue Thu 10:05-11:25 am — 18 seats open
  • Section 002 (Tut), Fri 1:35-3:25 pm — 18 seats open