IEEE Women in Engineering

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Introduction to Python for Electrical Engineering

Virtual: https://events.vtools.ieee.org/m/280432

IEEE WIE Winnipeg, in collaboration with University of Manitoba's ECE Graduate Student Association, present an online Python workshop for beginners. The workshop will cover: - Introduction to Python, Jupyter IDE …

The Right Standards for the Right Technology

Virtual: https://events.vtools.ieee.org/m/282390

This presentation is for anybody interested in Moving Pictures, Audio, and Data Coding by Artificial Intelligence (MPAI). The Moving Picture Experts Group (MPEG) was the body that responded to industry …

Fundamentals of Probability in Python

Virtual: https://events.vtools.ieee.org/m/277449

In this workshop, we first provide a brief review of probability theory making sure that attendees understand probability models and applications. Later in this workshop, we will discuss basic probability …

Stress Management and Mental Wellness

Virtual: https://events.vtools.ieee.org/m/281794

With the recent chaos that the Covid19 pandemic has spread across the world, there is a significant impact on the work culture across the world. In some countries, working from …

Power Systems Networking Event

Virtual: https://events.vtools.ieee.org/m/280436

Join us for a Power Systems Networking Event hosted by (https://www.linkedin.com/company/wie-winnipeg), (https://cigre-canada.org/ngn-next-generation-network/) and IEEE IAS/PES SBC University of Manitoba. The event will feature a panel discussion on the theme of …

Next Generation Near Field Sub 10nm Optical Sensing

Miami, Florida, United States, Virtual: https://events.vtools.ieee.org/m/281882

Near-field scanning optical microscopy (NSOM) has become one of the most crucial and powerful techniques to characterize the chemical, physical, and biochemical properties of materials with nanometer-scale resolution in real-time. …

Applications of Probability in Python

Virtual: https://events.vtools.ieee.org/m/277453

This workshop will cover an example project on Bayes Classifier, multiple random variables, and estimation. We will learn the implementation of multivariate Gaussian distribution, classification and regression problems in Python. …

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