ECE 5414
Last Updated
- Schedule of Classes - January 8, 2020 7:14PM EST
- Course Catalog - January 8, 2020 7:15PM EST
Classes
ECE 5414
Course Description
Course information provided by the Courses of Study 2019-2020.
Learn and apply key concepts of modeling, analysis and validation from machine learning, data mining and signal processing to analyze and extract meaning from data. Implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. Gain working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, and dimensionality reduction.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: CS 2800 or the equivalent plus basic familiarity with Matlab or Python, or permission of the instructor.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
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TR
Bloomberg Center 131
Cornell Tech Instructors
Belongie, S
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TR
Bloomberg Center 131
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Additional Information
Taught in NYC. Enrollment limited to Cornell Tech students.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
-
TR
Bloomberg Center 131
Cornell Tech Instructors
Kallus, N
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TR
Bloomberg Center 131
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Additional Information
Taught in NYC. Enrollment limited to Cornell Tech students.
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