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.

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!

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.

"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

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.

SYSMOD is an MBSE toolbox for pragmatic modeling of systems. It is well-suited to be used with SysML. The book provides a set of methods with roles and outputs. Concrete guidances and examples show how to apply the methods with SysML.

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.

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.

A pattern language for event sourced applications and reliable distributed systems. Examples are written in the Python programming language. Now includes event-oriented introductions to the pattern language scheme of Christopher Alexander, the process philosophy of Alfred North Whitehead, and the person-centred psychology of Rogers and Rosenberg.

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.

Agile teams need to be able to handle impediments. This book explores how teams can deal effectively with the problems that will happen in their daily work, using agile thinking and practices. Foreword by Johanna Rothmann.

Model Predictive Control sounds complicated—until you see how naturally it fits the way you already think. Look ahead. Plan. Adjust. Repeat. This book turns a powerful control method into something intuitive, practical, and surprisingly simple.

Kalman Filters Made Easy is a clear, intuitive introduction to one of engineering’s most powerful tools for dealing with noisy, imperfect, real‑world data. Instead of drowning you in equations, this book builds deep understanding through real examples — from drifting GPS signals to unpredictable sensor timing — and shows how engineers combine noisy measurements and imperfect models to estimate what’s really happening. If you work with robotics, drones, autonomous systems, or sensor‑driven devices, this guide gives you the mental models you need to design reliable systems in an uncertain world. This reflects the book’s core message: “The world gives us noisy, imperfect measurements. We want clean, reliable, accurate information. The filter is the bridge between the two.”

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.

The most advanced (show me!) systems engineering writing on the 'constraints' subject. For technical leaders.