- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Course information provided by the Courses of Study 2018-2019.
Computation is an essential tool for many facets of information science research. Examples of its utility include capture, access and analysis of digital data; visualization of data for analysis, interpretation and information extraction; construction of user focused applications; and analysis of textual and sensor-derived information to detect patterns and dynamics of human activities, social interactions and social networks. Effective use of computation requires a mixture of skills including structuring data, accessing data, and programming, choosing and applying computational analysis methods, and designing visualizations. This course covers the mixture of these skills with the goal of providing INFOSCI graduate students with the appreciation of their utility and ability to employ them in future research. This course is project-based, allowing students to understand the use of computational methods.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: programming ability at the level of CS 1110 or CS 1112. This includes variables, arrays, strings, loops, conditionals, methods and functions, basic recursion, file IO, object orientated design, debugging. No prior knowledge of Python is required.
Satisfies Requirement INFO Graduate Core Course.
Regular Academic Session. Combined with: INFO 6010
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
Instruction Mode: Distance Learning-Synchronous
Taught in NYC. Enrollment limited to Cornell Tech PhD Information Science Students. Class will be streamed from Ithaca.
Disabled for this roster.