CSCI510 - Applied Machine Learning and Artificial Intelligence

Course Code: CSCI510 Course ID: 5545 Credit Hours: 3 Level: Graduate

This course offers a rigorous exploration of machine learning and artificial intelligence, focusing on both theoretical concepts and practical applications. Students study the mathematical and statistical foundations of machine learning models, including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. The course emphasizes an advanced understanding of neural networks, artificial neural networks, and deep learning architectures, along with optimization techniques and their use in domains such as natural language processing, computer vision, robotics, and healthcare. Through hands-on development, students gain skills in implementing these models using modern tools and frameworks while engaging in projects that address real-world applications of AI. The course also examines ethical issues and the societal impact of AI technologies, reinforcing critical knowledge within the broader computer science program and aligning with graduate-level outcomes in the subject area. (Prerequisite: CSCI500)