Professional Training

Functional Safety & SOTIF

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An overview of functional safety in computer controls and embedded systems. Lectures cover functional safety models from different industry standards (ref. OCWMIT).

Module 1:Advanced Functional Safety Concepts per ISO 26262-2018

Module 1.1:Part 11 Guidelines on application of ISO 26262 to semiconductors

Module 2:Functional Safety Concepts-IEC 61508

Module 3:Safety Concepts-DO 178 C

Module 4:Safety of the Intended Functionality-ISO/PAS 21448

Total Duration: 1 Week/Module

Cybersecurity

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An overview of secure compute and embedded systems. Lectures cover threat models, attacks that compromise security, and techniques for mitigating threats. Topics include operating system (OS) security, information flow control, language security, network protocols, hardware security, and web application security. Assignments include labs that involve implementing a secure web server, web application and embedded systems, as well as attempting to compromise them (ref. OCWMIT).

Module 1:Introduction to TARA (Threat Analysis and Risk Assessment)

Models based on EVITA, HEAVENS, SAHARA, ISO 31000. ISO 21434, VDA, Microsoft STRIDE/DREAD-Security Threat Classification Model, MITRE TARA, ETSI TVRA, SAE J3061.

Module 2:Cybersecurity Technical Concept and Requirement Specifications

Module 3:Comprehensive Testing Techniques

Total Duration: 1 Week

Artificial Intelligence, Machine Learning, Deep Learning

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An overview of many concepts, techniques, and algorithms in Artificial Intelligence, Machine Learning, Deep Learning. This course is focuses on Machine Learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern Machine Learning methods as well as a bit more formal understanding of how, why, and when they work (ref. OCWMIT).

Module 1:Introduction to Computer Vision

Module 2:Advanced Computer Vision and Deep Learning

Module 3:Object Tracking and Localization

Total Duration: 3 Weeks

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