Artificial Intelligence for Temporal Data. 3 credits, 3 contact hours

Catalog description

Prerequisites: MATH 447 , CS 375 . Time series data appears across domains such as finance, climate science, healthcare, and many more. This course offers an in-depth exploration of artificial intelligence techniques for temporal data analysis and predictive modeling. Students will address the unique challenges of temporal data, delving into classical machine learning, and advanced deep learning models, including RNNs, LSTMs, CNNs, GNNs, and Transformers. The course emphasizes algorithmic implementation and research-driven applications, preparing students to tackle complex real-world problems and contribute to cutting-edge developments in the field.