CASS MiLe

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Available courses

Machine Learning Systems: Low-Energy VLSI Architectures and Applications

On-Chip Epilepsy Detection: Where Machine Learning Meets Wearable, Patient-Specific Wearable Healthcare

Machine Learning and Optimization for Communications and Deep Networks

Machine Learning for Analytics Architecture: AI to Design AI

Machine Learning in Agrifood - Series 1

Machine Learning in Agrifood - Series 2

2 Minutes Paper

2-minute Paper: Series 1

2 Minutes Paper

2-Minute Paper: Series 2

Making An Impact

Making An Impact: IEEE Fellow Ljiljana Trajkovic

Making An Impact

Making An Impact: IEEE Fellow Alyssa Apsel

Making An Impact

Making An Impact: Women in CAS (WICAS)

Drone Operation and Proficiency

Kickstarting Your 3D Printing Project

Design Thinking

FPGA Remote Lab

FPGA Vision Machine Learning

FPGA Remote Lab

FPGA Vision Lane Detection

Mentoring@APCCAS2021

CASS Mentoring Program@ISCAS 2021

Virtual DLP: Analog

Integrated Circuits and Microsystems for Emerging Biomedical Applications

Virtual DLP: Analog

Towards Unfailing Analog Circuits For Biomedical and Automotive Application

Mission & Vision

Mission

CASS Microlearning is dedicated to empowering and equipping IEEE members and lifelong learners with an engaging and satisfying educational experience through the provision of competency-based microlearning on an e-learning platform.

Vision

CASS Microlearning strives to become a globally-recognised leader in providing and advancing knowledge in Circuits and Systems framed in a multidisciplinary context to a diverse technical audience.

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