INFO 2950 Introduction to Data Science
Course description
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.
Prerequisites
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.
No upcoming classes were found.
Previously offered classes
Summer 2023: Ithaca campus
Section ID: | INFO 2950 001-LEC |
Number: | 1270 |
Session: | Summer 3-week 1 |
Class dates: | May 30-June 16, 2023 |
Time / room: | M-F 10 AM - 11:20 AM / Upson Hall 146 M-F 1 PM - 2:20 PM / Upson Hall 146 |
Mode of instruction: | In person |
Credit: | 4 |
Instructor: | Soltoff, B. (bcs88) |
Related: | INFO 2950 201-DIS |
Summer 2023: Ithaca campus
Section ID: | INFO 2950 201-DIS |
Number: | 1271 |
Session: | Summer 3-week 1 |
Class dates: | May 30-June 16, 2023 |
Final exam/project due: | TBA (see Final exams) |
Time / room: | M-F 2:35 PM - 3:30 PM / Upson Hall 146 |
Mode of instruction: | In person |
Credit: | 0 |
Grade: | Graded |
Instructor: | Soltoff, B. (bcs88) |
Max. enroll: | 15 |
Related: | You will be auto-enrolled in INFO 2950 001-LEC |
To enroll: | Enrollment for this class is closed. |