CIS 250 — Artificial Intelligence for Computer Vision
Course offers a comprehensive exploration of how computers interpret and analyze visual information. Students will start by examining the fundamentals of image recognition and representation, focusing on how images are transformed into matrices for computational processing. Additional topics include various computer vision models and their applications, emphasizing the development of sustainable solutions through practical implementation. Throughout the course, students will gain hands-on experience solving common computer vision problems using a variety of computer vision algorithms. Additionally, students will evaluate and utilize pre-trained models from open source machine learning platforms gaining insights into advanced tools for enhancing their computer vision projects.