SIGNALS, INFORMATION, AND COMPUTATION
Introduction to the signals, information, and computational techniques in electrical engineering.
Prerequisites & course information
Requisites: ( MATH 211 , 217, or 221 ) or member of Engineering Guest Students Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Manipulate complex numbers in the context of representing sinusoids Audience: Undergraduate 2. Represent periodic continuous-time signals using the Fourier series Audience: Undergraduate 3. Represent finite-duration discrete-time signals using the discrete Fourier transform Audience: Undergraduate 4. Determine sampling parameters for analog-to-digital conversion of signals Audience: Undergraduate 5. Apply digital filters to discrete-time signals Audience: Undergraduate 6. Write code using numerical computing software to manipulate signals Audience: Undergraduate Learning Outcomes: 1. Manipulate complex numbers in the context of representing sinusoids Audience: Undergraduate 2. Represent periodic continuous-time signals using the Fourier series Audience: Undergraduate 3. Represent finite-duration discrete-time signals using the discrete Fourier transform Audience: Undergraduate 4. Determine sampling parameters for analog-to-digital conversion of signals Audience: Undergraduate 5. Apply digital filters to discrete-time signals Audience: Undergraduate 6. Write code using numerical computing software to manipulate signals Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027