BIG DATA AND DATA MINING
2018 Spring Term
Computer Science 767
This course will cover two main areas: (1) machine learning algorithms that can be applied to "big data" (i.e., data sets of great size and complexity); and (2) distributed file systems and MapReduce as tools to generate algorithms, along with associated hardware innovations to facilitate parallel analysis of big data.
Other Requirements: PREREQ: ADMISSION TO GRADUATE PROGRAM IN COMPUTER SCIENCE
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
|Section Details||Meeting Details & Topic||Instructor||Syllabus|
|01/22 - 05/11 (1)||W 5:00 PM - 7:30 PM||