2025-2026 Academic Catalog

Aug 13, 2025

2025-2026 Academic Catalog

MSCS 3450 - Fundamentals of Artificial Intelligence

This course provides a comprehensive foundation in AI, focusing on techniques that enable machines to interpret and make decisions from visual and textual data. The course covers essential AI topics, including image processing, object detection, scene understanding, and natural language processing (NLP). Students will learn how machines can analyze both visual and linguistic data to make informed decisions. The course also explores a range of machine learning methods, such as supervised, unsupervised, and reinforcement learning. Key topics include decision trees, neural networks, support vector machines, clustering, deep learning, and their applications in both computer vision and NLP. Through a combination of theoretical concepts and hands-on labs, students will gain practical experience in building AI systems capable of processing and interpreting images, videos, and text. By the end of the course, students will be equipped with the skills to apply AI techniques across various domains.

Course prerequisites: Python programming through course work or industry experience

Anticipated Terms Offered: Annually