INFO 2950

Last Updated

  • Schedule of Classes - January 14, 2015 6:16PM EST
  • Course Catalog - January 14, 2015 6:21PM EST

INFO 2950
Introduction to Data Science

Course information provided by the Courses of Study 2014-2015.

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.  Some assignments require python programming.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: An introductory statistics course from the approved list of accepted statistics courses found at http://infosci.cornell.edu/academics/degrees/ba-college-arts-sciences/degree-requirements/core-requirements and an introductory programming class, or permission of instructor. Corequisite: MATH 2310 or equivalent.

Distribution Category (MQR)

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 13120 INFO 2950   LEC 001

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