AAI 402 - Intro to Computer Vision

Credits: 3
Lecture Hours: 2
Lab Hours: 2
Practicum Hours: 0
Work Experience: 0
Course Type: Voc/Tech

This course provides an introduction to the fundamental concepts and techniques used in computer vision. Students will learn how to process and analyze visual data, develop algorithms for image recognition, and understand the applications of computer vision in various fields. The course covers topics such as image processing, feature extraction, object detection, and deep learning for computer vision.
Prerequisite: A grade of C- or better in AAI 302
Competencies

Explain the key concepts and techniques used in computer vision
Apply techniques for image enhancement, filtering, and transformation
List methods for feature detection, description, and matching
Evaluate algorithms for identifying objects in images
Utilize neural networks and deep learning frameworks for image classification and segmentation
Assess the performance of input and output of computer vision algorithms

Competencies Revised Date: AY2026