AAIT218 — Computer Vision
AAIT 218 - Computer Vision AAIT 218 - Computer Vision Students learn how visual data is represented and processed through operations such as color space conversion, filtering, and feature extraction. Core topics include image classification, object detection, segmentation, and the design and application of convolutional neural networks (CNNs). The course also explores transfer learning, data augmentation, and the use of pre-trained vision models in open-source and cloud-based environments. Students practice model evaluation using metrics such as accuracy, precision, and Intersection over Union (IoU), and examine the ethical implications of visual AI. Emphasis is placed on practical implementation, performance analysis, and responsible use of visual data in modern AI systems. MAJOR COURSE LEARNING
Prerequisites: AAIT212