Advanced Data Analytics

3 credits · Graduate Programs

Research skills course designed to expand knowledge with supercomputing clusters, numerical methods, and analyses. Introduction to version control and source management. Data curation, management, and compliance. Using schedulers for parallelization. Benchmarking computational requirements. Machine learning and numerical processing for challenging data analytics problems. Reducing high-dimensional data for interpretation. Agentic-assisted programming approaches. Making graphics from data. Prerequisite(s): Admission to the PhD in Electrical and Computer Engineering or the MSc in Electrical Engineering. Also known as: (formerly Software Engineering for Engineers 619.01 (Advanced Data Analytics) )