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Data Science & Technologies2018 Spring

Subject Information Science (IFSC) 7370 Section 9W1 (CRN: 12992)

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 webcast live. Students can attend in person or remotely. Class sessions are also recorded. Some class sessions will require students to attend live, either in person or via web. For a more traditional classroom experience, students are encouraged to attend in person.
12 seats available (capacity: 20)
Credit Hours
3

Meeting times and locations

  • Tuesday, Thursday 3:05pm - 4:20pm Engineering & Information Tech 219(Lecture)
    January 16th to May 8th, 2018 (16 weeks)

Instructors

Department

Information Science

College

Donaghey Engr & Info Tech
Cross Listing
This class is also offered as the following cross-listed sections:
  • IFSC 7370 01 (CRN: 14726)
  • IFSC 4399 02 (CRN: 14797)
View all Cross-Listed Sections
0