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Professional Course

Principles of Electronic Biosensors

edX, Online
Length
10 weeks
Price
50 USD
Next course start
Inquire for more information See details
Delivery
Virtual Classroom
Length
10 weeks
Price
50 USD
Next course start
Inquire for more information See details
Delivery
Virtual Classroom
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Course description

Principles of Electronic Biosensors

This electronics course will focus on the physics of biomolecule detection in terms of three elementary concepts: response time, sensitivity, and selectivity. We will use potentiometric, amperometric, and cantilever-based mass sensors to illustrate the application of these concepts to specific sensor technologies. Learners in this course will be able to decide what sensors to make, appreciate their design principles, interpret measured results, and spot emerging research trends.

This electronics course is the latest in a science and engineering series offered by the nanoHUB-U project, which is jointly funded by Purdue University and the National Science Foundation.

Upcoming start dates

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  • Virtual Classroom
  • Online
  • English

Who should attend?

Prerequisites:

College Freshman/sophomore level preparation in physics, chemistry, and mathematics.

Training content

  • Unit 1: Introduction to Nanobiosensors / Settling Time
  • Unit 2: Setting Time
  • Unit 3: Sensitivity
  • Unit 4: Selectivity
  • Unit 5: Putting the Pieces Together

Course delivery details

This course is offered through Purdue University, a partner institute of EdX.

5-6 hours per week

Costs

  • Verified Track -$50
  • Audit Track - Free

Certification / Credits

What you'll learn

  • Rationale of electronic biosensors
  • Essence of three types of electronic nanonbiosensors (i.e., potentiometric, amperometric, and cantilever-based sensors)
  • Three essential metrics that define modern electronic sensors; detection time, sensitivity, and selectivity
  • Physics of detection time that allows one to organize every available sensor in a systematic way
  • Fundamental limits of detection of various classes of sensors
  • Opportunities and challenges of integrating sensors in a system platform

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