The (ND891) is an advanced program designed to teach students how to combine deep learning with image processing to build complex AI systems like autonomous vehicle navigation and medical diagnostics. Program Overview and Structure

: Covers how robots perceive and navigate their environment using Bayesian filters, Kalman Filters, and Simultaneous Localization and Mapping ( SLAM ). Key Projects and Skills

: Building a system to map facial features (eyes, nose, mouth) using image processing and CNNs.

This is an program. To succeed, students should have:

Students complete three major reviewed projects to build a professional portfolio:

: Implementing SLAM to allow an autonomous vehicle to map its surroundings while tracking its own location. Prerequisites and Commitment

: Focuses on image processing, feature extraction, and building Convolutional Neural Networks (CNNs) using PyTorch .

The curriculum is divided into three primary sections, totaling approximately of coursework: