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University at Buffalo

UB Graduate Academic Schedule: Fall 2020

This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


CE 500LEC - Special Topics-Prin Of Nanosensors
Special Topics-Prin Of Nanosensors THU Enrollment Information (not real time - data refreshed nightly)
Class #:   21177   Enrollment Capacity:   20
Section:   THU   Enrollment Total:   9
Credits:   3.00 credits   Seats Available:   11
Dates:   08/31/2020 - 12/11/2020   Status:   OPEN
Days, Time:   TBA , TBA
Room:   Remote view map
Location:   Remote      
Course Description: The area of sensor technology is attracting renewed interest because of its potential applications to the Internet of Things (IoT). However, the sensor performance characteristics required for such applications are stringent, and meeting these challenges will require designing new sensors that operate at dramatically higher levels of functionality and performance than those that already exist. Nanoscience, which encompasses many traditionally disparate disciplines such as physics, chemistry, material science, biology, engineering and computing, has the potential for transforming the traditional sensors into high performance sensors. Recent advances in the synthesis of quantum materials and in the design and nanofabrication of structures are paving the way for incorporating nanotechnology into novel sensor platforms. One of the goals of this course is to provide an integrated description of underlying basic scientific principles that are responsible for greatly enhanced properties exhibited by nanomaterials and nanostructures. Reengineering the traditional sensor platforms using basic principles of nanoscience could enhance many of the sensor characteristics such as sensitivity, resolution, selectivity, reversibility, dynamic range, response time, etc. The fundamental concepts behind the sensing mechanisms not only help us to design high performance sensors, but also aid in interpreting the results with a higher degree of confidence. These principles can also help us design sensor arrays and combinations that can overcome the limitations imposed by complex sensing conditions and environments.
             Thundat, T G look up    
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Other Courses Taught By: Thundat, T G