INFO 2950
Last Updated
- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Classes
INFO 2950
Course Description
Course information provided by the Courses of Study 2018-2019.
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 Spring.
Prerequisites/Corequisites Prerequisite: 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)
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- TR Hollister Hall B14
Instructors
Mimno, D
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Additional Information
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.
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Class Number & Section Details
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Meeting Pattern
- F Hollister Hall 401
Instructors
Staff
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Class Number & Section Details
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Meeting Pattern
- F Hollister Hall 401
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Staff
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 222
Instructors
Staff
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Class Number & Section Details
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Meeting Pattern
- F Snee Hall Geological Sci 1150
Instructors
Staff
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Class Number & Section Details
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Meeting Pattern
- F Hollister Hall 372
Instructors
Staff
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Class Number & Section Details
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Meeting Pattern
- F Snee Hall Geological Sci 1150
Instructors
Staff
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