For a full list of course descriptions please see section 6 of the University graduate catalog.
CSC 746 – Artificial Intelligence (3)
The use of programming languages to model concepts selected from artificial intelligence. The application of heuristics to problem solving. Perception and pattern recognition.
CSC 781 – Machine Learning (3)
Introduction to Machine Learning and its core models and algorithms. Hands-on R programming experiences of using machine learning/deep learning algorithms to analyze real-world data sets.
CSC 782 – Big Data (3)
Advanced cutting edge and state-of-the-arts knowledge and implementation in big data. Modern deep learning tools for analyzing real-world data sets.
CSC 783 – Data Visualization (3)
Principles and techniques for data visualization, including visual representation methods and techniques for increasing the understanding of complex data and models. Hands-on visual programming experiences in data collection and demonstration.
