EE 291 - Numerical & Computational Methods for Electrical Engineering

(3 units)

Introduction to the numerical and computational methods needed to solve EE-related problems. Topics include: Numerical methods for systems of linear and non-linear equations; eigenvalues and eigenvectors; linear and nonlinear regression; integration and approximation methods; solving differential equations. These topics will be complemented through MATLAB and Python Programming.

Prerequisite(s): CS 135 with a “C” or better; MATH 182 with a “C” or better. Corequisite(s): MATH 330.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall and Spring

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
2. develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
3. acquire and apply new knowledge as needed, using appropriate learning strategies.

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