INFO 2950

Last Updated

  • Schedule of Classes - September 9, 2021 7:14PM EDT
  • Course Catalog - September 9, 2021 7:15PM EDT

INFO 2950
Introduction to Data Science

Course information provided by the Courses of Study 2020-2021.

Teaches basic mathematical methods for information science, with applications to data science. Topics include discrete probability, Bayesian methods, graph theory, power law distributions, Markov models, and hidden Markov models. Uses examples and applications from various areas of information science such as the structure of the web, genomics, social networks, natural language processing, and signal processing. Assignments require python programming.  

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: MATH 1710 or equivalent, CS 1110 or CS 1112, or permission of instructor.

Distribution Category (MQR-AS, SDS-AS)

Comments Information Science majors must complete this class prior to their senior year.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Graded

  • 11237 INFO 2950   LEC 001

  •  
    • MW Online Meeting
    • Feb 8 - May 14, 2021

    • Wilkens, M

  • Instruction Mode: Online
    Information Science majors must complete this class prior to their senior year. If you would like to enroll in this class, but are unable to, please contact the instructor at mimno@cornell.edu.

  • 11434 INFO 2950   DIS 201

  •  
    • F Online Meeting
    • Feb 8 - May 14, 2021

    • Wilkens, M

  • Instruction Mode: Online