CIS 670, Winter 2019

Data Science


[ Assignments | CIS | News]

  • References:
  • Approximate Syllabus and Lecture Slides
    Week of Chapter  Description and Slides Events and Readings
    January 7    intro, big data management, integration, and analysis
    January 14  Silberschatz et al. Chapter 18  parallel databases
    January 21  Silberschatz et al. Chapter 19  distributed databases 
    January 28  Silberschatz et al. Chapter 19  data warehouse, heterogeneous DBs, data integration  Data Integration Paper
    February 4  data integration, data fusion, deep learning  Deep Learning, Data Fusion, and Multimodal Fusion Papers
    February 11  Sadalage & Fowler   NoSQL Databases 
    February 18  Sadalage & Fowler   MapReduce (Hadoop) and Apache Spark Course Project Proposal: Friday, February 22
    February 25  Han et al. Chapter 1,6,7  data mining, midterm review 
    March 4    midterm review, midterm (Thursday)  Midterm: Thursday, March 7
    March 11  project implementation, no lecture 
    March 18  finals week; Project Presentation Monday, 12:30pm - 14:30pm, March 18; Project Report Friday, March 22 
  • 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):