IEEE SPS @ UF

IEEE SPS @ UF — curriculum & workshops

Hands-on workshops that bridge math fundamentals to real applications (audio, images, sensors) using clear notebooks and demos.

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Overview

Workshop series that connects analysis, probability, and machine learning to applied signal-processing case studies, with materials designed to be approachable for newcomers.

The goal is to make rigorous material learnable in a student setting: clear explanations, minimal prerequisites, and practical demos. Each workshop is designed so participants can run experiments, modify parameters, and understand what changes and why.

What I built

  • Workshop notebook templates with consistent structure (concept → intuition → demo → exercises).
  • Example datasets and evaluation scripts so results are reproducible.
  • A curriculum roadmap that connects fundamentals (linear algebra, probability) to real signal-processing tasks.

Deliverables

  • Notebook-based workshops and supporting code.
  • Reusable exercises for journal clubs and study groups.

Snapshot

Track
IEEE SPS @ UF · curriculum · workshops
Status
Ongoing; continuously expanded.
Focus
EducationSignal processingJupyter notebooks

Stack

  • Python
  • Jupyter
  • NumPy
  • Matplotlib

Glossary

Signal processing
Methods for analyzing and transforming signals like audio, images, and sensor streams.