Books

A practical and pedagogical introduction to the Discrete Fourier Transform (DFT), combining theory, numerical examples, and MATLAB/Python implementations for students, engineers, and educators.

AI is becoming part of everyday professional work. This practical, non-technical handbook will show you how to use it effectively to save time, improve the quality of your work, make better-informed decisions, and get more done. Learn what AI does well, where human judgement matters, and how to work confidently with AI in the real world.

Flaps and the Steep Approach Pitch attitude: Flap deployment requires a lower AOA to generate required lift at a given speed and pitch attitude will be lower. No flap landings require a higher pitch attitude. NOTE: pitch attitude does not equal steeper descent angle. See discussion below.Descent angle: Flaps, by themselves DO NOT cause a steeper approach path to clear an obstacle. The descent angle depends on both ground speed AND rate of descent. Low ground speeds and higher rates of descent increase the descent angle. See figure below.Flaps lower the stall speed which allows a slower approach speed which steepens the approach angle. However, if the approach speed is not reduced, neither will the descent angle. Flaps add drag which increases the descent rate for a given power setting and given air speed. The increased descent rate will increase the descent angle for a particular airspeed. However, if too much power or air speed is carried in the approach, there will not be an increase in descent angle. Note: Steeping the approach is accomplished by lowering ground speed. This can be done by slowing the approach or in the case of strong headwinds. More power is required to maintain glide path on an approach into a strong headwind. Maintain air speed with pitch. 

Input Chinese characters easily, even if you don't know their pronunciation.

 Key Highlights of the BookPractical, easy-to-understand explanationsReal-world examples and case studiesStep-by-step implementation strategiesFocus on both teachers and studentsStrong emphasis on ethical AI usageFully aligned with modern education trends  A Practical ApproachUnlike many theoretical books, AI in Education Revolution focuses on actionable strategies. Every concept is explained with practical applications, ensuring that readers can immediately apply what they learn.  Important NoteThis book does not claim that AI will replace teachers or traditional education systems. Instead, it presents AI as a supportive tool that enhances human capabilities.The human element—creativity, empathy, and critical thinking—remains irreplaceable.  Who Should Read This Book?School and college teachersStudents (secondary to higher education)Academic administratorsEducation policymakersEdTech professionalsLifelong learners interested in AI     ConclusionAI in Education Revolution is more than just a book—it is a roadmap for the future of learning. It equips readers with the knowledge, tools, and mindset needed to navigate and succeed in an AI-driven educational environment.By combining technology with human intelligence, we can create a more inclusive, efficient, and personalized education system for everyone.

In a world of infinite AI-generated text, fluency is no longer a credential—trust is. Learn how to engineer "signal" into your technical writing and build an authoritative presence that algorithms can't replicate. This is the definitive practitioner’s guide for publishing in the AI era.

Navigate the architectural discontinuity of the Foundation Model Era with this comprehensive guide designed for professionals sitting at the intersection of technology and leadership. Master the intersection of technical precision and strategic oversight through the RACE framework, robust ethical principles, and the operational realities of MLOps. From the legal mandates of the EU AI Act to the emerging risks of agentic AI, this guide empowers you to lead AI transformation with intention and accountability.

What happens when a quality management graduate discovers that the factory floor doesn't care about her degree? A story about standards, survival, and the real cost of poor quality.

¿Qué hace que el dinero sea dinero? ¿Cómo es posible que los bancos creen dinero de la nada? ¿Por qué la inflación destruye los ahorros de unos y beneficia a otros? Este libro responde a las preguntas que nadie te explicó.

AI is already your co-pilot. The question is whether you know how to fly with it. Flight Deck Medicine applies the proven safety frameworks of aviation — verification, trust calibration, situational awareness, confident override — to the daily realities of AI-augmented clinical practice. Through real case studies, integrated workbook exercises, and a structured five-phase curriculum, Dr. Rubin Pillay gives clinicians the cognitive tools to work safely, effectively, and defensibly alongside clinical AI. From reading a confidence score to executing an IDAR override to auditing an algorithm for racial bias, this is the definitive practical guide to being the pilot in command of modern medicine.

What if time is not merely a clock, but a filter? What if systems fail not because they lack information, but because correction arrives too late to matter? What if technologies become dominant not because they are best, but because they have already reorganized the future around themselves? And what if Human–LLM collaboration is no longer just a sequence of prompts and answers, but an evolving ecology shaped by its own artifacts? Force–Information–Time: Essays on Structural Evolution is a companion volume to the FIT framework. Rather than restating the core theory, it explores what becomes visible when structural thinking is carried across learning, institutions, science, technology, Human–LLM collaboration, and human life.

The Calculus of Optimality is a technical manual dedicated to the precise execution of optimization. It provides a structured, step-by-step working methods for investigating functions, moving from foundational principles to advanced multivariate constraints.This guide is designed for those who seek a reliable protocol to identify and classify extremal points in complex mathematical systems.

What if mathematics trained the mind instead of the hand? 1001 Problems for Mental Calculation is the first complete English translation of Sergey Rachinsky’s classic, a remarkable collection of problems designed to build number sense, mental discipline, and real mathematical thinking.

Master the future of technology with this definitive guide to Modern Data Science. Unlock actionable insights through Analytics, Machine Learning, and Big Data strategies. Perfect for beginners and pros wanting a logic-first approach to data-driven decision making.