CS730R: Topics in Data and Information Management - Big Data Analytics, Spring 2013

Meeting time: TuTh 10-11:15am MSC W306

Web: http://www.mathcs.emory.edu/~CS730000
Mailing List: CS730000-list@mathcs.emory.edu
Share Directory: /home/CS730000/share

Instructor: Li Xiong (lxiong@mathcs.emory.edu)
Office Hours: TT 4-5:30pm at MSC E412 or by appointment

Overview

This course is a seminar course where we will read papers on emerging topics in data and information management. This semester's theme is big data analytics. The main topics include: spatial computing, real-time and longitudinal analytics, data integration, big data systems, crowdsourcing, data privacy and security.

Readings

The readings are mainly recent papers from database and data mining conferences as well as general computing journals.

Prerequisites

Familiarity with fundamentals of database systems and data mining.

Assignments

There will be reading assignments, paper presentations, and a term paper. For reading assignments, you will read papers and submit a 1-page review every week. You are expected to present around 3 papers in class. For term paper, you will construct a reading list for a topic of your choice, read the papers, and write a 5-10 page survey.

Grading

Component Weight

Paper reviews50
Paper presentations20
Class discussion10
Term paper20
Score Grade

93-100 A
90-92.9 A-
87-89.9 B+
83-869 B
80-82.9 B-
Happy reading!