Systems Engineering

Learn SysML v2 with the ultimate guide for all skill levels in MBSE. Authored by insiders, it's your key to unlocking the full potential of system modeling and a passport to mastering your MBSE.

Linux is one of the best decisions you can make for your computer — but knowing where to start is the hard part. This guide walks you through everything: choosing a distribution, installing it, and using it confidently every day. It was written by Jay LaCroix of Learn Linux TV, for complete beginners. No prior experience required.

Local Intelligence shows you how to run large language models entirely on your Mac with Apple Silicon. Learn to use tools like Ollama, MLX, and llama.cpp, understand quantization, and build real local AI applications with open-source code.

In a galaxy not so far, far away… You have just received a set of requirements—or desires disguised as requirements—wild needs or want statements vaguely describing some notion of what the system should do. Now what? Where do you start with the specifications? Rule One: Don’t Panic, and reach for Engineering on Purpose!

Unlock the Secrets of MBSE Craftsmanship: Transform Your Organization's Engineering Culture and Excel in Model-Based Systems Engineering. Discover the Art and Philosophy Behind True Mastery.

The modeling of variants is a common use case in MBSE (for example for product line engineering or trade-off studies). Although SysML does not provide explicit model elements for variants, it is possible to create a variant model with SysML. The book explains the approach and provides a SysML profile for variants. 

Hands on Labs to prepare you for a career in Linux or system engineering. Built by the Professional Linux User's Group to focus on exactly what the professional needs in the enterprise.

The first part of this book will be devoted to principles: thoughts that apply to design in general.The second part will provide a collection of heuristics: activities that designers use to help produce better designs and avoid serious design mistakes.

"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." —Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." —Karolis Urbonas, Head of Machine Learning and Science at Amazon

Este livro aborda a Simulação de Eventos Discretos por uma perspectiva que, metodologicamente, satisfaça a cada etapa que um projeto de simulação exija para ser bem-suce­dido. São aprofundados os conceitos fundamentais, mas sem perder a prática de como fazer.

Hate calling yourself a "non-technical" founder or professional? Never again. The ultimate guide to thinking digitally and leading software companies.

Errors drive us crazy. Computers can reduce errors, but in a minute can multiply a single error a million times. To use a computer successfully, you need to know more about errors than you ever imagined.

This book familiarizes readers with the world of LLM and agentic AI, and helps them quickly gain a working-level knowledge of building useful agentic AI solutions for process industry operations. With no prerequisites required, practical demo applications, and a hands-on approach adopted throughout, this book makes advanced AI technologies accessible to process engineers and data scientists alike. It aims to help process data scientists and engineers take their first confident steps into Agentic AI world, understand the full picture, and build a strong enough foundation to keep learning and building on their own. Also available here.

This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

This is your complete guide to building rhythmic, waste-free production cells that deliver quality at speed—just in time.