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The Silicon Nanostructures and Carbon Nanotubes based Nanoelectronics program delves into the cutting-edge realm of nanoelectronics, focusing on harnessing the remarkable properties of silicon nanostructures and carbon nanotubes. By exploring these advanced materials at the nanoscale, the program aims to revolutionize electronic device design and functionality. Through innovative research and development efforts, the program seeks to pioneer next-generation electronic devices with superior performance, scalability, and energy efficiency. These advancements hold the potential to transform various sectors, from computing and communication to sensing and energy storage, ushering in a new era of nanoelectronics innovation.
Furthermore, the program is dedicated to fostering interdisciplinary collaboration and knowledge exchange among scientists, engineers, and industry partners. By cultivating a collaborative research environment, the program aims to accelerate the translation of fundamental discoveries into practical applications, driving technological innovation and economic growth. Through strategic partnerships and collaborative initiatives, the program seeks to address key challenges in nanoelectronics research and development, paving the way for transformative advancements that will shape the future of electronic devices and technologies.
The Silicon Nanostructures and Carbon Nanotubes based Nanoelectronics program delves into the cutting-edge realm of nanoelectronics, focusing on harnessing the remarkable properties of silicon nanostructures and carbon nanotubes. By exploring these advanced materials at the nanoscale, the program aims to revolutionize electronic device design and functionality. Through innovative research and development efforts, the program seeks to pioneer next-generation electronic devices with superior performance, scalability, and energy efficiency. These advancements hold the potential to transform various sectors, from computing and communication to sensing and energy storage, ushering in a new era of nanoelectronics innovation.
Furthermore, the program is dedicated to fostering interdisciplinary collaboration and knowledge exchange among scientists, engineers, and industry partners. By cultivating a collaborative research environment, the program aims to accelerate the translation of fundamental discoveries into practical applications, driving technological innovation and economic growth. Through strategic partnerships and collaborative initiatives, the program seeks to address key challenges in nanoelectronics research and development, paving the way for transformative advancements that will shape the future of electronic devices and technologies.
Professional Certification Program
The aim of the “Silicon Nanostructures and Carbon Nanotubes based Nanoelectronics” program is to advance the frontier of nanoelectronics by leveraging the unique properties of silicon nanostructures and carbon nanotubes, aiming to develop innovative electronic devices and technologies with enhanced performance, scalability, and energy efficiency for various applications ranging from computing and communication to sensing and energy storage.
Standard Fee: INR 4,998 USD 110
Discounted Fee: INR 2499 USD 55
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesCertification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 20 % |
| Final Online Exam | 30 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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