Overview
Description
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.
Requirements
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall and Spring
Terms
fall, spring
Attributes
Standard
Learning Outcomes
- identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- acquire and apply new knowledge as needed, using appropriate learning strategies.