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DSTC-00435 Online (e-LMS) Graduate / Intermediate

AI for Graphene Sensor Data Analytics

by - DSTC

Turn graphene-sensor signals into insight with machine learning.

โ˜…โ˜…โ˜…โ˜…โ˜… Be the first to review โ€ข 4 Weeks ยท 40 hrs โ€ข e-Certificate Included
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From โ‚น2,500 + GST

๐Ÿ“š Syllabus & Course Curriculum

Data Science & Analytics

Module-by-module breakdown of AI for Graphene Sensor Data Analytics, from foundations to a certified capstone project.

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Outline

Analyze the structural and electrical properties of graphene and its implications for sensor data analytics โ€ข Develop a comprehensive understanding of the fundamental principles of nanomaterials and their applications in sensing technologies โ€ข Evaluate the role of nano and materials science in the development of advanced graphene-based sensors

Outline

Configure and operate various characterization techniques such as Raman spectroscopy, scanning electron microscopy, and atomic force microscopy for graphene sensor analysis โ€ข Design and implement instrumentation pipelines for data acquisition and processing in graphene sensor characterization โ€ข Optimize the experimental conditions and parameters for accurate and reliable characterization of graphene sensors

Outline

Design and develop scalable synthesis methods for high-quality graphene materials with controlled properties โ€ข Implement various fabrication techniques such as chemical vapor deposition, molecular beam epitaxy, and inkjet printing for graphene sensor fabrication โ€ข Evaluate the effects of process conditions on the properties and performance of graphene sensors

Outline

Develop and apply computational models for simulating the behavior of graphene materials and sensors using density functional theory and molecular dynamics โ€ข Analyze the electronic and transport properties of graphene using computational tools such as MATLAB and Python โ€ข Validate the accuracy of computational models against experimental data for graphene sensor applications

Outline

Integrate graphene sensors with electronic circuits and systems for real-time data acquisition and processing โ€ข Design and conduct experiments to test the performance of graphene sensors in various environments and conditions โ€ข Evaluate the system-level performance of graphene sensor-based devices and identify areas for improvement

Outline

Analyze the safety and health risks associated with graphene handling and processing โ€ข Develop and implement standard operating procedures for safe handling and disposal of graphene materials โ€ข Evaluate the regulatory compliance of graphene sensor-based devices with respect to industry standards and guidelines

Outline

Identify and analyze the potential applications of graphene sensors in various industries such as healthcare, aerospace, and automotive โ€ข Develop sector-specific use cases for graphene sensor-based devices and systems โ€ข Evaluate the market potential and competitiveness of graphene sensor-based products in various industries

Earn government-registered certification in AI for Graphene Sensor Data Analytics

e-Certificate and e-Marksheet issued on successful completion.

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Scholar Registration

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