INFO 2950

Last Updated

  • Schedule of Classes - June 19, 2018 12:09PM EDT
  • Course Catalog - March 23, 2018 2:31PM EDT

INFO 2950
Introduction to Data Science

Course information provided by the 2017-2018 Catalog.

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.


Prerequisites/Corequisites Prerequisite: A strong performance in 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 with an ability to write and debug programs, or permission of instructor.

Distribution Category (MQR-AS)

When Offered Spring.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 12148 INFO 2950   LEC 001

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  • Instruction Mode: In Person

    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 via email at phg5@cornell.edu

  • 17426 INFO 2950   DIS 201

  • Instruction Mode: In Person

    Instructor Consent Required (Add)

  • 17893 INFO 2950   DIS 202

  • Instruction Mode: In Person

    Instructor Consent Required (Add)

  • 17894 INFO 2950   DIS 203

  • Instruction Mode: In Person

    Instructor Consent Required (Add)

  • 17895 INFO 2950   DIS 204

  • Instruction Mode: In Person

    Instructor Consent Required (Add)

  • 18246 INFO 2950   DIS 205

  • Instruction Mode: In Person

    Instructor Consent Required (Add)

  • 18423 INFO 2950   DIS 206

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  • Instruction Mode: In Person