CISC 315 Big Data/Informatics
The field of computer science is experiencing a transition from computation-intensive to data-intensive problems, wherein data is produced in massive amounts by large sensor networks, new data acquisition techniques, simulations, and social networks. Efficiently extracting, interpreting, and learning from very large datasets requires a new generation of scalable algorithms as well as new data management technologies. Data sets that have the potential to grow rapidly need to be manageable. This course provides the knowledge to use new Big Data tools and techniques as well as learn ways of storing information that will allow for efficient processing and analysis for informed decision-making. Students will learn techniques to store, manage, process and analyze massive amounts of unstructured data. Offered alternate years. Prerequisites: CISC 225 and CISC 160 or permission of the instructor.