Computer Science Department |
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Course Description Modern scientific instruments and Internet-scale applications generate voluminous data pertaining to vital signs, weather phenomena, social networks that connect millions of users, and the origins of distant planets. Data produced in these settings hold the promise to significantly advanced knowledge. This course covers fundamental issues in Big Data. The course examines issues related to data organization, storage, retrieval, analysis and knowledge discovery at scale. This will include topics such as large-scale data analysis frameworks, data storage systems, self-descriptive data representations, and case studies.This course will involve hands-on programming assignments and term project using real-world datasets.
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Instructor: Lectures: Graduate Teaching Assistants: Recitation Sessions: Time: Thursday 12-1PM
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