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.

A true classic, not just in computing but in the broad area of scholarship. It is partly about the philosophy and mechanisms of science; partly about designing things so they work but mostly it is about how humans view the world and create things that match that view. This book will still be worth reading for a long time to come. - Charles Ashbacher

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.

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.

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.

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.

Inference engineering is now its own discipline, with unique challenges around speed, cost, reliability and scale. This practical guide takes you from core concepts to production systems, showing how modern inference architectures work, how to optimize them and how to make better engineering decisions through measurement and trade-off analysis.

An MBSE workflow for automotive systems engineering teams — run V-model programmes on real agile sprints, with ASPICE and ISO 26262 evidence produced as you go, not reconstructed before the audit.

A practical implementation framework covering 22 essential data center operational domains. Assess gaps, establish priorities and build a controlled improvement roadmap.

This practical guide explains how to calculate, interpret, and improve OEE using real-world examples, enabling engineers, supervisors, and Lean practitioners to increase productivity, reduce downtime, and achieve world-class manufacturing performance.

Build optimization models that remain useful when forecasts are wrong. This practical guide connects uncertainty sets, robust counterparts, duality, budgets of uncertainty, and modern distributionally robust optimization with real operational applications and implementation advice.

Go beyond writing code and learn what it takes to build software that lasts. Fundamentals of Software Engineering walks you through requirements, architecture, testing, deployment and production using practical trade-offs and a real-world case study. Follow TaskFlow from its first requirement to a system built to scale, evolve and survive the real world.

Move beyond AI demos and build agents that can actually run IT operations. This practical guide takes you from MCP fundamentals to production-ready monitoring, incident response, remediation, Kubernetes operations, security and multi-agent systems, with complete runnable code and a strong focus on safe autonomy.

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