INFO 4940

Last Updated

  • Schedule of Classes - February 16, 2018 10:59AM EST
  • Course Catalog - February 12, 2018 11:18AM EST

INFO 4940
Special Topics in Information Science

Course information provided by the 2017-2018 Catalog.

Study of topics not currently covered in Information Science offerings, as determined by faculty and student interest.


When Offered Fall or spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: COMM 3450, INFO 3450

  • 4 Credits Graded

  • Topic: Human-Computer Interaction Design for MPS

  • 12873 INFO 4940   LEC 001

  •  

  • Instruction Mode: In Person

  • 12874 INFO 4940   DIS 201

  • Instruction Mode: In Person

    Instructor Consent Required (Add)

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • Topic: Business Intelligence Systems

  • 13133 INFO 4940   LEC 003

  •  

  • Instruction Mode: In Person

    This class covers the fundamentals of Business Intelligence Systems including: Dimensional Data Modeling, ETL Design / Development, SQL, & Data Visualization. Students will gain hands-on experience using industry leading BI tools, including team project using real data. https://blogs.cornell.edu/businessintelligence/ Audit requires permission of instructor.

  • 13134 INFO 4940   DIS 202

  •  

  • Instruction Mode: In Person

  • 18568 INFO 4940   DIS 203

  •  

  • Instruction Mode: In Person

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • Topic: History of the Interface

  • 17408 INFO 4940   LEC 004

  •  

  • Instruction Mode: In Person

    From Cybernetics to Ubicomp: History of the Interface This course addresses the history of the interface from the apparatus of early 20th C experimental psychology to contemporary mobile technology, and from human factors to HCI. The course pays particular attention to social and technological contexts, analog precedents to digital technologies, and cultural implications of the relationship between humans and machines. The course will consist of lectures, discussions of readings, and student presentations culminating in a group research project.