CIS 610, Fall 2016

Big Data and Data Science


[ Assignments | CIS | News]

  • References:
  • Approximate Syllabus and Lecture Slides
    Week of Chapter  Description and Slides Events and Readings
    September 26    intro, big data management, integration, and analysis
    October 3  Silberschatz et al. Chapter 18  parallel databases
    October 10  Silberschatz et al. Chapter 19  distributed databases, data warehouse 
    October 17  Silberschatz et al. Chapter 19  heterogeneous DBs, data integration  Data Integration Paper
    October 24  deep learning (guest lecture by Hao Wang), data fusion  Deep Learning, Data Fusion, and Multimodal Fusion Papers
    October 31  Sadalage & Fowler   NoSQL Databases 
    November 7  Sadalage & Fowler   MapReduce (Hadoop) Course Project Proposal: Friday, Nov 11
    November 14  Han et al. Chapter 1,6,7  data mining and data analysis, midterm review 
    November 21    midterm (Tuesday)  Midterm: Tuesday, Nov 22
    November 28  project implementation, no lecture 
    December 5  finals week; Project Presentation Friday, 8:00am - 10:00am, Dec 9; Project Report Friday, Dec 9 
  • Late policy: All assignments are due by 11:59pm of the stated due date, though it is much safer to turn them in at class time. Late papers are subject to a 10% per day penalty. Late assignments will not be accepted once the graded papers are returned or once sample solutions are handed out. It is your responsibility to turn in the assignments on time. Make sure that electronically submitted assignments are actually delivered.


  • Course resources (to be updated):