EGR 336 SIGNALS AND SYSTEMS

Systems analysis plays a critical role in interpreting biological data, designing medical equipment, and understanding complex biological processes. Systems problems are emerging as central to all areas of biomedicine—including but not limited to cancer, immunology, infectious disease, musculoskeletal disorders, and cardiology. The overarching goal of this course is to promote quantitative thinking from a systems perspective. To this end, students will learn analytical approaches using Matlab for modeling signals and systems and apply them to solve real-world biomedical problems, such as predicting tumor growth, analyzing ECG signals, and processing medical images. 

 

Credits

4 sh

Future Course Number

EGR 3360

Prerequisite

Computer Science I (CSC 130), Introduction to Matlab (EGR 122), University Physics II (PHY 222)

Corequisite

Differential Equations (MTH 351)

Offered

• Spring

Notes

Offered: spring of odd year

Course Outcomes

1. • Represent and model Signals
   • Analyze continuous- and discrete-time systems in the time domain
   • Perform Fourier Analysis for continuous- and discrete-time signals and systems
   • Sample and reconstruct signals
   • Perform Laplace Transforms on continuous-time signals and systems
   • Modulate signals
   • Analyze and design filters