From pixels to perception.
Digital images, image formation and sensors, filtering, morphology, geometric transformations, feature extraction, and deep learning for vision.
Try the image-filtering lab ↗TEACHING / ENIAD BERKANE
Make the abstract
tangible.
I teach AI and software engineering through the connection between an idea, its implementation, and the choices that make it useful.
From code and models to systems.
Version control, reproducible environments, containers, CI/CD, deployment, monitoring, and the lifecycle of machine learning systems.
Make the design explicit.
Requirements, UML, structured data, and architecture: reasoning about a system before and during implementation.