CSCI 4170 - Projects in AI & Machine Learning

We will study machine learning and AI solutions to real world problems using publicly available datasets. Topics include Deep Learning, Training Neural Networks (NN), Recurrent NN, Convolution NN, Auto-encoders, Generative Models, Natural Language processing (NLP), Reinforcement Learning, Diffusion models, Recommender Systems.

Course activities include weekly project-based assignments, reading research papers, weekly discussion on recent research related to the lecture topic and a final project/paper with presentation.

Prerequisite: CSCI 2200 , CSCI 2210 , and CSCI 2300 ; or permission of instructor.

When Offered: OFFERED YEARLY

Co-Listed: CSCI 6170

Graded: GRADED

Credit Hours: 4