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Course Description

Storage, retrieval, analysis, and knowledge discovery using Big Data has made significant inroads in several domains in industry, research, and academia. In this course, we will look at the dominant software systems and algorithms for coping with the scale of Big Data. Topics covered include scalable computing models such as distributed machine learning and approximate algorithms for the real-time streaming data.  Also, we discuss large-scale non-traditional data storage frameworks including graph, key-value, and column-family storage systems. 

Instructor
Sangmi Lee Pallickara [Homepage]
Office hours:
Friday 10:00AM ~ 11:00AM
and by appointment

Office: CSB456
Email Address: Sangmi.Pallickara{at}colostate{dot}edu

Lectures
M,W 4:00PM ~ 5:15PM
Via Zoom (zoom info available in canvas)

Graduate Teaching Assistents
Laksheen Mendis

Office hours (via MS Teams)
T,W 2:00PM ~ 4:00PM

Email Address: cs535{at}cs{dot}colostate{dot}edu