الصفحة 32
الصفحة 32
Matematica si parte! : Nozioni di base ed esercizi per il primo anno di Ingegneria = Mathematics, let's go! : Basics and exercises for the first year of Engineering
This manual has been created to allow future engineering students to successfully face their studies. Some basic concepts in mathematics are presented, generally already learned before entering the University. It has been found that not all students have a complete mastery of this set of fundamental notions: therefore this manual provides useful support, in the form of both exercises and theoretical notions. The future student will be able to choose the chapters that interest him most, in order to verify his ability to solve problems such as "Review problems", using his own reasoning skills and knowledge.
Matematica generale con il calcolatore
By introducing mathematical objects, it teaches students how to use a computer to perform numerical and symbolic calculations, define a function and calculate its values, plot and explore graphs, and execute simple algorithms. The course is rich in examples, applications, and models, drawn from economics, physics, biology, statistics, and mathematics itself. The analysis of these models constitutes, in a certain sense, the true purpose of the mathematical theory covered. Automatic calculation tools (mathematics software, spreadsheets) are used extensively to explore and illustrate concepts and properties. Mathcad® software, in particular, was used, both as a calculation tool and as a simple yet powerful programming language. Considerable space is devoted to approximation, emphasizing the distinction between numerical and symbolic calculation; to algorithms as a synthesis of the syntactic and semantic aspects of mathematical objects; and to computer simulation, interpreted as a "physical" experiment and a source of conjecture. The ability to use a calculator marks a sort of "democratization" of mathematics: even complex results, which have always required a broad background of knowledge and laborious calculations, are now quickly accessible to anyone who understands the meaning of mathematical objects and knows how to use the syntax.
Mass Customization : Challenges and Solutions
Mass Customization: Challenges and Solutions defines the parameters of the emerging business strategy, mass customization. The book will cover the main categories of the area with a systematic examination of the following themes: manufacturing systems and mass customization, supply chain management and mass customization, and information systems and mass customization.
Marx in management and organisation studies : Rethinking value, labour and class struggles
Introduces new approaches that deploy concepts from Marx’s critique of political economy to renew the study of labour, value and social antagonisms in the broad area of management and organisation studies.
Markov Models for Pattern Recognition : From Theory to Applications
Describes the underlying theoretical concepts - covering Hidden Markov models and Markov chain models - and presents the techniques and algorithmic solutions essential to creating real world applications. The actual use of Markov models in their three main application areas - namely speech recognition, handwriting recognition, and biological sequence analysis - is presented with examples of successful systems.
Marketing Strategy : Overcome Common Pitfalls and Create Effective Marketing
Presents an easy-to-follow framework for creating a marketing strategy which is scalable and adaptable and can be applied to any business or industry / Written by thought-leader Jenna Tiffany, who has been has been recognized as one of the top 100 female marketers to follow worldwide by Search Engine Journal / Identifies the most common pitfalls in everyday marketing practice and provides tools to pre-emptively avoid them / Supports key concepts with practical tasks for the reader to complete, to cement their understanding of the tasks discussed
Marine carbon biogeochemistry : A primer for earth system scientists
This book discusses biogeochemical processes relevant to carbon and aims to provide with insight into the functioning of marine ecosystems. A carbon centric approach has been adopted, but other elements are included where relevant or needed. The book focuses on concepts and quantitative understanding of primary production, organic matter mineralization and sediment biogeochemistry. The impact of biogeochemical processes on inorganic carbon dynamics and organic matter transformation are also discussed.
Managing Global Innovation : Uncovering the Secrets of Future Competitiveness
"Managing Global Innovation is a rich compendium of new concepts of global R&D, enlivened by 18 excellent best-in-class case studies. What is especially impressive, the authors bridge seamlessly theoretical and practical issues about how companies create, transform and implement new technology in an expanding marketplace. This will be intriguing to both the industry and the academic world. The lessons learned are invaluable. The book is a real tour de force, probably destined to become a standard in this field for some time to come." Professor Jeff Huang, Harvard University "This excellent book demonstrates how the dynamics of innovation and creativity can be mastered. Important reading for senior management and a must for R&D leaders."
Managing Complexity : Insights, Concepts, Applications
Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinary contributions range from markets and production through logistics, traffic control, and critical infrastructures, up to network design, information systems, social conflicts and building consensus. They serve to raise readers' awareness concerning the often counter-intuitive behavior of complex systems and to help them integrate insights gained in complexity research into everyday planning, decision making, strategic optimization, and policy.
Managing change for sustainable development at higher education in Syria : The case of Arab International University
The aim of this research is to examine sustainability development initiatives in the field of higher education in Syria. The research examines the extent to which the Arab International university is engaged in sustainability practices within the three concepts of sustainability: environmental, economic and social, and examines the implementation of change management approaches on three main dimensions: university strategy, campus green management and integrating sustainability in faculty curriculum.
Management of Heart Failure ; Vol.1 : Medical
This practical volume focuses on the medical management of heart failure and outlines the causes, etiopathology and mechanisms in such a way that most health care professionals can grasp the concepts.
Management divided : Contradictions of labor management
One of the central dynamics shaping organizations is a contradiction managers face between ensuring workforce discipline and harnessing worker creativity. In this rich study of American manufacturing, Matt Vidal offers a theory of 'organizational political economy', integrating concepts from organization theory into a classical Marxist framework
Management by Business Process : A Managerial Perspective of People, Process, and Technology
To support businesses managed through an organizational structure oriented by business processes, it is essential that the manager has a set of knowledge, technical skills, and professional demeanor. This text focuses on these aspects, presenting: a) the theoretical foundation, describing the central concepts of the M-B-BP approach; b) the set of necessary techniques from different areas, describing and exemplifying those skills; and c) the required behaviors of managers and employees for structuring, operation, management, and continuous improvement of the organization's business processes.
Maîtriser laléatoire : Exercices résolus de probabilités et statistique = Mastering Randomness : Solved Exercises in Probability and Statistics
Consists of 245 solved exercises that cover all the basic concepts of probability and statistics. The work is structured in nine chapters, each containing a brief introduction, bibliographic references to more specialized works, as well as a series of exercises and their detailed solutions. Ranked in increasing order of difficulty, these will allow the reader to appreciate the extent of his progress. This book can be used as a supplement to any theory manual on statistics and probability. Due to the great diversity of the examples offered, it will suit a diverse readership: students of economics, psychology, social sciences, mathematics, physics, chemistry, medicine or biology.
Magnetism in the Solid State : An Introduction
Presents a phenomenological approach to the field of solid state magnetism. After introducing the basic concepts from statistical thermodynamics and electronic structure theory, the first part discusses the standard models for localized moments (Weiss, Heisenberg) and delocalized moments (Stoner). This is followed by a chapter about exchange and correlation in metals, again considering the results for the localized and delocalized limit. The book ends with a chapter about spin fluctuations, which are introduced as an alternative to the finite temperature Stoner theory. A useful reference work for researchers, this book will also be a valuable accompaniment to graduate courses on magnetism and magnetic materials.
Magnetism and Structure in Functional Materials
Magnetism and Structure in Functional Materials addresses three distinct but related topics: (i) magnetoelastic materials such as magnetic martensites and magnetic shape memory alloys, (ii) the magnetocaloric effect related to magnetostructural transitions, and (iii) colossal magnetoresistance (CMR) and related magnanites. The goal is to identify common underlying principles in these classes of materials that are relevant for optimizing various functionalities. The emergence of apparently different magnetic/structural phenomena in disparate classes of materials clearly points to a need for common concepts in order to achieve a broader understanding of the interplay between magnetism and structure in this general class of new functional materials exhibiting ever more complex microstructure and function. The topic is interdisciplinary in nature and the contributors correspondingly include physicists, materials scientists and engineers. Likewise the book will appeal to scientists from all these areas.
Macrocyclic Chemistry : Current Trends and Future Perspectives
Macrocyclic Chemistry: Current Trends and Future Perspectives illustrates essential concepts in this expanding research field covering both basic and applied studies. Written by well-known experts from around the world, the topics of the chapters range from new macrocyclic architectures with different functions and self-assembly processes through to the modeling and dynamics of such systems. The content also reflects on application possibilities in analytical chemistry, separation processes, material preparation and medicine. Thus this book serves as a creative source of research strategies and methodic tools.
Machine learning refined : Foundations, algorithms, and applications
Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization
Machine learning and big data : Concepts, algorithms, tools and applications
Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
Machine Learning Algorithms Using Python Programming
Presents the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning.
