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Data Science & Technologies2017 Spring

Subject Information Science (IFSC) 7370 Section 9W1 (CRN: 13154)

Prerequisites: graduate standing and either IFSC 7320 or CPSC 7351 along with working knowledge of Java programming or consent of the instructor. This course provides a survey of the skills and concepts needed for managing, processing, and analyzing massive amounts of data in real time. Topics covered include data sourcing, storing and sharing, integration, and data mining strategies along with hands-on experience working with sample technologies selected from a complex ecosystem of tools and platforms. Three credit hours.
This class is web cast live. Students can attend in person or remotely. Class sessions are recorded.
1 seat available (capacity: 40)
Credit Hours
3

Meeting times and locations

  • Tuesday, Thursday 3:05pm - 4:20pm Engineering & Information Tech 217(Lecture)
    January 9th to May 9th, 2017 (17 weeks)

Instructors

Department

Information Science

College

Donaghey Engr & Info Tech
Cross Listing
This class is also offered as the following cross-listed sections:
  • IFSC 4399 02 (CRN: 14343)
  • IFSC 7370 01 (CRN: 15235)
View all Cross-Listed Sections
0