INFO 5001
Last Updated
- Schedule of Classes - October 5, 2024 7:31PM EDT
- Course Catalog - October 5, 2024 7:07PM EDT
Classes
INFO 5001
Course Description
Course information provided by the Courses of Study 2024-2025.
This is an applied course for data scientists with little-to-no programming experience who wish to harness growing digital and computational resources. The focus of the course is on generating reproducible research using programming languages and version control software. Major emphasis is placed on a pragmatic understanding of core principles of programming and packaged implementations of methods. Students will leave the course with basic computational skills implemented through many computational methods and approaches to data science; while students will not become expert programmers, they will gain the knowledge of how to adapt and expand these skills as they are presented with new questions, methods, and data.
When Offered Fall.
Outcomes
- Construct and execute basic programs using elementary programming techniques (e.g. loops, conditional statements, user-defined functions.
- Implement data science workflows using common, reproducible methods and software tools.
- Implement statistical learning and machine learning algorithms for a range of data structures.
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Snee Hall Geological Sci 1120
- Aug 26 - Dec 9, 2024
Instructors
Soltoff, B
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 202
- Aug 26 - Dec 9, 2024
Instructors
Soltoff, B
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Upson Hall 202
- Aug 26 - Dec 9, 2024
Instructors
Soltoff, B
-
Additional Information
Instruction Mode: In Person
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