Products related to Mathematics:
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The Architecture of Computer Hardware, Systems Software, and Networking : An Information Technology Approach
The Architecture of Computer Hardware, Systems Software and Networking is designed help students majoring in information technology (IT) and information systems (IS) understand the structure and operation of computers and computer-based devices.Requiring only basic computer skills, this accessible textbook introduces the basic principles of system architecture and explores current technological practices and trends using clear, easy-to-understand language.Throughout the text, numerous relatable examples, subject-specific illustrations, and in-depth case studies reinforce key learning points and show students how important concepts are applied in the real world. This fully-updated sixth edition features a wealth of new and revised content that reflects today’s technological landscape. Organized into five parts, the book first explains the role of the computer in information systems and provides an overview of its components.Subsequent sections discuss the representation of data in the computer, hardware architecture and operational concepts, the basics of computer networking, system software and operating systems, and various interconnected systems and components.Students are introduced to the material using ideas already familiar to them, allowing them to gradually build upon what they have learned without being overwhelmed and develop a deeper knowledge of computer architecture.
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Mathematics and Computation : A Theory Revolutionizing Technology and Science
From the winner of the Turing Award and the Abel Prize, an introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophyMathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation.With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges.He explains the ideas and motivations leading to key models, notions, and results.In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences.Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics.He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society.For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields.Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyondHigh-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific disciplineHistorical accounts of the evolution and motivations of central concepts and modelsA broad view of the theory of computation's influence on science, technology, and societyExtensive bibliography
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Thinking about Mathematics : The Philosophy of Mathematics
This unique text by Stewart Shapiro looks at a range of philosophical issues and positions concerning mathematics in four comprehensive sections.The first describes questions and issues about mathematics that have motivated philosophers almost since the beginning of intellectual history.Part II is an historical survey, discussing the role of mathematics in such thinkers as Plato, Aristotle, Kant, and Mill.The third section covers the three major positions, and battle lines, throughout the twentieth century: that mathematics is logic (logicism), that the essence of mathematics is the rule-governed manipulation of characters (formalism), and a revisionist philosophy that focuses on the mental activity of mathematics (intuitionism).Finally, Part IV looks at contemporary positions and work which brings the reader up-to-date on the discipline.Thinking about Mathematics is accessible to those with little background in either mathematics or philosophy.It is aimed at students and professionals in mathematics who have little contact with academic philosophy and at philosophy students and other philosophers who forgot much of their mathematics.
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Basic Mathematics
This is a text in basic mathematics with multiple uses for either high school or college level courses.Readers will get a firm foundation in basic principles of mathematics which are necessary to know in order to go ahead in calculus, linear algebra or other topics.The subject matter is clearly covered and the author develops concepts so the reader can see how one subject matter can relate and grow into another.
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Can you pursue a career in technology, hardware, software, or IT systems despite difficulties in mathematics?
Yes, it is possible to pursue a career in technology, hardware, software, or IT systems even if you face difficulties in mathematics. While mathematics is important in these fields, there are many roles that do not require advanced math skills. You can focus on areas such as software development, user experience design, project management, technical writing, or quality assurance testing, where strong math skills may not be as crucial. Additionally, there are resources available, such as online courses or tutoring, to help improve your math skills if needed.
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Is it possible to pursue a career in technology, hardware, software, or IT systems despite difficulties in mathematics?
Yes, it is possible to pursue a career in technology, hardware, software, or IT systems despite difficulties in mathematics. While mathematics is important in these fields, there are many roles that do not require advanced math skills. For example, roles in software testing, technical writing, user experience design, and project management may be more suitable for individuals who struggle with mathematics. Additionally, there are resources available such as online courses, tutorials, and tools that can help individuals improve their math skills if needed.
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Can one pursue a career in the field of technology, hardware, software, or IT systems despite difficulties in mathematics?
Yes, it is possible to pursue a career in technology, hardware, software, or IT systems even if one faces difficulties in mathematics. While mathematics is important in these fields, there are many roles that do not require advanced math skills. Individuals can focus on areas such as software development, user experience design, project management, or technical writing, which may not heavily rely on complex mathematical concepts. Additionally, there are resources available such as online courses, tutorials, and tools that can help individuals improve their math skills if needed.
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Is it possible to pursue a career in the field of technology, hardware, software, or IT systems despite difficulties in mathematics?
Yes, it is possible to pursue a career in the field of technology, hardware, software, or IT systems despite difficulties in mathematics. While mathematics is important in these fields, there are many roles that do not require advanced math skills. Individuals can focus on areas such as software development, user experience design, project management, technical writing, or IT support, which may not heavily rely on complex mathematical concepts. Additionally, there are resources available such as online courses, tutorials, and tools that can help individuals improve their math skills if needed.
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Construction Mathematics
Construction Mathematics is an introductory level mathematics text, written specifically for students of construction and related disciplines. Learn by tackling exercises based on real-life construction maths.Examples include: costing calculations, labour costs, cost of materials and setting out of building components. Suitable for beginners and easy to follow throughout. Learn the essential basic theory along with the practical necessities. The second edition of this popular textbook is fully updated to match new curricula, and expanded to include even more learning exercises.End of chapter exercises cover a range of theoretical as well as practical problems commonly found in construction practice, and three detailed assignments based on practical tasks give students the opportunity to apply all the knowledge they have gained. Construction Mathematics addresses all the mathematical requirements of Level 2 construction NVQs from City & Guilds/CITB and Edexcel courses, including the BTEC First Diploma in Construction.Additional coverage of the core unit Mathematics in Construction and the Built Environment from BTEC National Construction, Civil Engineering and Building Services courses makes this an essential revision aid for students who do not have Level 2 mathematics experience before commencing their BTEC National studies.This is also the ideal primer for any reader who wishes to refresh their mathematics knowledge before going into a construction HNC or BSc.
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Engineering Mathematics
The best-selling introductory mathematics textbook for students on engineering and science degree and pre-degree courses.Sales stand at more than half a million copies world-wide. Its unique programmed approach really works! Many thousands of students have found that they understand and excel through using this book.It takes you through the mathematics in a step-by-step fashion with a wealth of examples and exercises.The text demands that you engage with it by asking you to complete steps that you should be able to manage from previous examples or knowledge you have acquired, while carefully introducing new steps.By working with the authors through the examples, you become proficient as you go.By the time you come to trying examples on your own, confidence is high. Aimed at undergraduates on Foundation and First Year degree programmes in all Engineering disciplines and Science.The Foundation section covers mathematics from GCSE onwards to allow for revision and gap-filling, and so means the book can be used for a range of abilities and all levels of access. New to this Edition:- A general revision of the entire contents- In Matrices an emphasis on eigenvalues and eigenvectors and the introduction of the Cayley–Hamilton theorem- New review summaries plus a new easy reference to help check back when you need more help- Key chapters improved yet further as a result of detailed student feedbackAccompanying online resources for this title can be found at bloomsburyonlineresources.com/engineering-mathematics.These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
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Engineering Mathematics
Engineering Mathematics is the unparalleled undergraduate textbook for students of electrical, electronic, communications and systems engineering. Tried and tested over many years, this widely used textbook is now in its 5th edition, having been fully updated and revised. This new edition includes an even greater emphasis on the application of mathematics within a range of engineering contexts. It features detailed explanation of why a technique is important to engineers. In addition, it provides essential guidance in how to use mathematics to solve engineering problems.This approach ensures a deep and practical understanding of the role of mathematics in modern engineering.
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Mathematics I
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What is the process of developing mathematics software?
The process of developing mathematics software typically involves several key steps. First, the development team must clearly define the objectives and requirements of the software, including the specific mathematical functions and operations it will perform. Next, the team will design the software architecture and user interface, taking into account the needs of mathematicians, educators, and students. Then, the software is developed using programming languages and tools suitable for mathematical computations. Finally, the software is tested, refined, and optimized to ensure its accuracy, reliability, and usability. Throughout the process, collaboration with mathematicians and educators is essential to ensure that the software meets the needs of its intended users.
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What does a software developer need in mathematics?
A software developer needs a strong foundation in mathematics to excel in their field. They need to have a good understanding of concepts such as algebra, calculus, and discrete mathematics to solve complex problems efficiently. Additionally, knowledge of statistics and probability is important for tasks such as data analysis and machine learning. Overall, a solid grasp of mathematical principles helps software developers write efficient code, design algorithms, and troubleshoot issues effectively.
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Software or hardware?
When deciding between software and hardware, it ultimately depends on the specific needs and goals of the user. Software provides flexibility, scalability, and ease of updates, making it ideal for tasks that require frequent changes or updates. On the other hand, hardware offers reliability, security, and performance for tasks that require high processing power or data storage. It is important to carefully evaluate the requirements of the project or task at hand to determine whether software or hardware is the best solution.
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'Software or hardware?'
The choice between software and hardware depends on the specific needs and goals of the user. Software provides flexibility and can be easily updated or customized, while hardware offers physical components that may be more reliable and provide better performance for certain tasks. Ultimately, the decision between software and hardware should be based on the specific requirements of the user and the intended use of the technology.
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