Catálogo de publicaciones

The approach of this concise but comprehensive introduction, covering all major classes of materials, is right for not just materials science students and professionals, but also for those in engineering, physics and chemistry, or other related disciplines. The characteristics of all main classes of materials, metals, polymers and ceramics, are explained with reference to real-world examples. So each class of material is described, then its properties are explained, with illustrative examples from the leading edge of application.

This edition contains new material on nanomaterials and nanostructures, and includes a study of degradation and corrosion, and a presentation of the main organic composite materials. Illustrative examples include carbon fibres, the silicon crystal, metallic glasses, and diamond films. Applications explored include ultra-light aircraft, contact lenses, dental materials, single crystal blades for gas turbines, use of lasers in the automotive industry, cables for cable cars, permanent magnets and molecular electronic devices.

* covers latest materials including nanomaterials and nanostructures
* real-world case studies bring the theory to life and illustrate the latest in good design
* all major classes of materials are covered in this concise yet comprehensive volume

If you’re interested in using social media as an investigative tool, Introduction to Social Media Investigation will show you how! Social networks and social media, like Facebook, Twitter, and Foursquare, are some of the most popular services on the Web, with hundreds of millions of users. The public information that people share on these sites can be valuable for anyone interested in investigating people of interest through open, public sources.

Social media as an investigative device is in its infancy and not well understood. This book presents an overview of social media and discusses special skills and techniques to use when conducting investigations. The book features hands-on tutorials and case studies and offers additional data-gathering techniques.

• Presents an overview of social media sites, information types, privacy policies, and other general issues relevant to investigating individuals online
• Discusses the special skills and techniques needed when conducting investigations using social media
• Includes hands-on tutorials and case studies using Facebook, LinkedIn, Twitter, and other social media sites using proven investigative techniques
• Shows how to gather additional data using advanced techniques such as crowdsourcing, data mining, and network analysis

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials.

Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks.

• Provides the necessary background material to understand machine learning such as statistics, probability, linear algebra, and calculus.
• Complete coverage of the generative approach to statistical pattern recognition and the discriminative approach to statistical machine learning.
• Includes MATLAB/Octave programs so that readers can test the algorithms numerically and acquire both mathematical and practical skills in a wide range of data analysis tasks
• Discusses a wide range of applications in machine learning and statistics and provides examples drawn from image processing, speech processing, natural language processing, robot control, as well as biology, medicine, astronomy, physics, and materials.

Revised and updated, Royce's Introduction to the Practice of Fishery Science is a classic text. With a new chapter on aquaculture, this book provides the background for a first course in fishery science. Intentionally focused on the practical and professional requirements of careers in the management and maintenance of fisheries, this text will be useful to students as well as to established professionals.

Introduction to US Cybersecurity Careers is a concise introduction to the world of cybersecurity and the career opportunities therein. This book provides a basic rundown of industry sectors, roles, and places to search for job opportunities within the US cybersecurity industry. Within this book is vital information for anyone trying to get into the industry - basic knowledge for those looking to start training for a career, tips on networking and resume-building in a fast-evolving and nontraditional sector, and advice on how to get your foot in the door and become recognized in your field.

This book is designed to help those who are just starting out in cybersecurity and those who have training and knowledge and want to get into the industry. Introduction to US Cybersecurity Careers is your first-stop reference for everything you need to know to start your journey.

• Learn the basics of the digital security industry
• Get tips on creating an effective resume and making contacts within the industry
• Figure out the best certifications to pursue and what qualifications will get you your ideal career

Introductory Experiments on Biomolecules and their Interactions provides a novel approach to teaching biomolecules in the lab. While featuring the requisite fundamentals, it also captures the author’s experience in industry, thus providing unique, up-to-date experiments which take the learning experience one-step further.

The text parallels lectures using a standard biochemistry undergraduate text. Unlike most current lab manuals available in the market which simply emphasize an introduction of techniques, this lab manual provides students with opportunities to demonstrate and prove the knowledge and theories they learn from class.

• Features quantitative analysis of RNA degradation by RNase
• Contains problem sets, calculations, and references for each lab fully immersing students in the learning process
• Includes instruction on how to maintain a lab notebook and write a formal lab report
• Provides hands-on engagement with the four major types of biomolecules and “real-life and better applied” examples of molecular interactions