Data analytics software is widely used in all areas of the semiconductor industry. These areas include product, yield, and integration engineering, process and equipment engineering, quality and reliability engineering, design and device engineering, and assembly and test engineering. In this 60-minute webinar, you will assume the role of a process integration engineer at a semiconductor manufacturing company and learn how data analytics software can be used to rapidly generate an analysis workflow that involves shaping, combining, and cleaning data from various data sources, assessing the importance of variables, and generating interactive yield dashboards and predictive yield models. Through the workflow, you will also define process windows for yield optimization.
Participants will learn:
Application of machine learning techniques Interactive visuals/dashboards Predictive modeling and model simulation
The technical presentations will be followed by an audience Q&A session.
Speaker: Mark Zwald, Senior Systems Engineer, JMP Statistical Discovery
Mark Zwald is a Senior Systems Engineer at JMP supporting strategic accounts and customer development in the Western U.S. He has nearly 20 years of experience in the semiconductor and consumer electronics industry, and prior to joining JMP he worked as a product engineer at ON Semiconductor, Intel and Microsoft. Mark holds a Bachelor’s and Master’s degree in Applied Physics and Engineering Physics from Cornell University.
Moderator: Amanda Horsey, Editor, SAE Media Group
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