CS-5054: Programming Models for Big Data
Description: Survey of computer science concepts and tools that enable efficient computational science and data analytics with big data. Ethical issues in computing. Data structure design and implementation. Analysis of data structure and algorithm performance. Introduction to high-performance computer architectures and parallel computation. Basic operating systems concepts that influence the performance of large-scale computational modeling and data analytics. Software tools for computational modeling.
Pathways: N/A
Course Hours: 3 credits
Corequisites: CS-5046 or CS-5525
Crosslist: N/A
Repeatability: N/A
Sections Taught: 0
Average GPA: N/A
Strict A Rate (No A-) : N/A%
Average Withdrawal Rate: N/A%