INFO 6432
Last Updated
- Schedule of Classes - January 5, 2026 3:59PM EST
Classes
INFO 6432
Course Description
Course information provided by the 2025-2026 Catalog.
Today’s smart devices have multiple wireless sensors such as acoustic, WiFi and Lidar. These sensors can enable sensing of both static objects and any motion activity in the environment. Researchers have shown that they can detect physiological signals, can track robots, enable gesture recognition and even detect composition of soil and quality of alcohol. This project based course focusses on the foundation of wireless sensing technologies and its application in various domains. The course covers the fundamentals of wireless sensing including wireless signal properties, propagation and signal processing algorithms. It will then introduce the students to various applications of wireless sensing across various domains including health, robotics, self driving cars, precision agriculture and human computer interfaces.
Enrollment Priority Enrollment limited to: Cornell Tech PhD students.
Last 1 Terms Offered (None)
Regular Academic Session.
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
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MW
Bill and Melinda Gates Hll G11
Other Domestic - Jan 20 - May 5, 2026
Instructors
Nandakumar, R
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MW
Bill and Melinda Gates Hll G11
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Additional Information
Instruction Mode: Distance Learning-Synchronous
Regular Academic Session.
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
-
MW
Bloomberg Center 497
Cornell Tech Instructors
Nandakumar, R
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MW
Bloomberg Center 497
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Additional Information
Instruction Mode: In Person
Enrollment limited to Cornell Tech PhD Students only.
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