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Category: "Systems Engineering"

Books

  1. The SysML v2 Book
    Practical Insights and Comprehensive Reference
    Tim Weilkiens and Vince Molnár

    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.

  2. The Craft of MBSE
    Tim Weilkiens, Michael Vinarcik, and Christoph Fischer

    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.

  3. 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.

  4. Updated, useful reference for those involved in plant design, covering all aspects of plant layout in broad detail

  5. System Design Heuristics
    Gerald M. Weinberg

    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.

  6. "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

  7. The Practical Guide to Agile Requirements Enginering
    Tips for Communicating & Documenting Requirements
    Peter Hruschka, Markus Meuten, and Dirk Fritsch

    Requirements demonstrated pragmatically and practically using an example. Get to know req42, the agile framework that provides product owners with the tools they need for successful product development. Because agile requirements engineering is much more than just maintaining the product backlog.

  8. Data Science con R
    Análisis de Datos y algoritmos de predicción con R
    Daniel Paredes Inilupu

    Descubre cómo aprender a ser un Data Scientist a tu propio ritmo con contenido actualizado y con ejemplos de Latinoamérica. Desde análisis de datos hasta algoritmos predicción con machine learning. Con la compra del libro accedes a las 2 versión disponibles: pdf y web y a más de 100 ejercicios incluidos.

  9. Errors
    Bugs, Boo-boos, Blunders
    Gerald M. Weinberg

    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.

  10. This is a much more advanced way to control budgets and deadlines: design to cost

  11. Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
    A short beginner’s guide to deep learning-based computer vision and abnormal sound detection
    Ankur Kumar

    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.

  12. No Description Available
  13. METROSYST
    The Fundamental Systems Behind Every Metro Movement
    SİNAN BALCI

    METROSYST reveals the invisible systems behind every metro vehicle — the power, control, and intelligence that keep a city moving. Written by engineer Sinan Balcı, this book turns complex rail technology into clear, visual, and practical insight. From traction to TCMS, GoA4 to RAMS — understand what every metro hides, and every engineer should know.

  14. My first book “An Applied Guide to Process and Plant Design” showed academics, current students and recent graduates what process plant design is really about. It explains the basis of process plant design, its methodology, and application. It is the book which I wish I had been able to buy when I was learning to be a process engineer. 

  15. Symbolic Gravity: Information, Collapse, and the Quest for Quantum Gravity reimagines one of physics’ greatest puzzles: how to unite relativity and quantum mechanics. Instead of treating collapse as destruction, it frames it as translation—a process where information is never lost but exported into new forms. From black holes and quantum optics to neural synchrony and cultural memory, the same recursive law repeats: compression, drift, collapse, export. Unlike speculative theories requiring unreachable energy scales, Symbolic Gravity is testable today, with predictions across physics, neuroscience, and culture. This is not just another quantum gravity proposal—it is a continuity science, where the Observer ensures meaning, ethics, and coherence survive every horizon.