Difference between revisions of "Course: Big Data 2014"

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= News =
= News =


* Your first assignment has been posted and it is due on Feb 17, 2014 5:00 pm. Here are the instructions: http://vistrails.org/index.php/Assignment_1_-_Data_Exploration


* I have sent a test email to the class list. If you have not received the message, make sure to sign up:  http://www.cs.nyu.edu/mailman/listinfo/csci_ga_2568_001_sp14  
* I have sent a test email to the class list. If you have not received the message, make sure to sign up:  http://www.cs.nyu.edu/mailman/listinfo/csci_ga_2568_001_sp14  

Revision as of 06:47, 9 February 2014

DS-GA 1004/CSCI-GA 2568 Big Data: Tentative Schedule -- subject to change

  • Lecture: Mondays, 7:10pm-9:00pm at Cantor, room 101. Note new location!
    • Cantor Film Center (CANTR), 36 E 8th St, New York, NY 10003
  • Lab: Thursdays, 7:10pm-8:00pm at CIWW, room 109. Always bring your laptop.
    • Warren Weaver Hall (CIWW), 251 Mercer St, New York, NY 10012

News

  • Starting on Feb 10th, our class will meet at a new location: Cantor 101
  • We will have lab on Thu at CIWW, room 109. Bring your laptop!

Background (4 weeks)

Week 1 -- Jan 27: Course Overview; the evolution of Data Management


Week 2 -- Feb 3: Introduction to Databases

Week 3 -- Feb 10: Overview: Relational Model and SQL

Week 4 -- Feb 24: Overview: Advanced SQL and Query Optimization

Big Data Foundations and Infrastructure (4 weeks)

Week 5 -- Mar 3: Cloud computing, Map Reduce and Hadoop

Week 6 -- Mar 10: Data Management for Big Data

Week 7 -- Mar 24: No-SQL and NewSQL Systems

Week 8 -- Mar 31: Query Processing on Mapreduce and High-level Languages

Big Data Algorithms and Techniques (6 weeks)

Week 9 -- Apr 7: Map Reduce Algorithm Design

Week 10 -- Apr 14: Finding similar items and information integration

Week 11 -- Apr 21: Graph Analysis

Week 12 -- Apr 28: Frequent Itemset Mining

Week 13 -- May 5: Interactive Analysis and Visualization of Big Data

Week 14 -- May 12: Machine Learning for Big Data

Week 15 -- May 19: Final Exam