University General Course Catalog 2023-2024 
    
    Oct 06, 2024  
University General Course Catalog 2023-2024 ARCHIVED CATALOG: LINKS AND CONTENT ARE OUT OF DATE. CHECK WITH YOUR ADVISOR.

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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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