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The Basics of Investigating Forensic Science A Laboratory Manual

The Basics of Investigating Forensic Science A Laboratory Manual

The Basics of Investigating Forensic Science: A Laboratory Manual Second Edition presents foundational concepts in forensic science through hands-on laboratory techniques and engaging exercises. The text offers numerous lab projects on a range of subjects including fingerprinting shoeprint analysis firearms pathology anthropology forensic biology and DNA drugs trace evidence analysis and more. This Second Edition is fully updated to include extensive full-color photos and diagrams to reflect current best-practices focussing on laboratory procedure techniques and interpretation of results. Each laboratory illustrates processes and concepts and how the equipment should be set up for a given exercise. Many of the exercises can be done with minimal laboratory equipment and material while certain exercises also have additional options and advanced lab exercises—for those education institutions with access to more specialized or advance laboratory equipment. While the sequencing of laboratory exercises in the book is designed to follow The Basics textbook the lab exercises are intentionally modular can be performed in any sequence desired by an instructor. The Basics of Investigating Forensic Science Second Edition is an excellent resource for introduction to forensic sciences courses including the companion textbook it was designed to accompany Forensic Science: The Basics Fourth Edition (ISBN: 9780367251499). The book can be used alongside any textbook and even serve as a stand-alone text for two- and four-year college programs as well as course at the high school level. | The Basics of Investigating Forensic Science A Laboratory Manual

GBP 35.99
1

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral social health and medical sciences. It incorporates examples of truncated counts censored continuous variables and doubly bounded continuous variables such as percentages. The book provides broad but unified coverage and the authors integrate the concepts and ideas shared across models and types of data especially regarding conceptual links between discrete and continuous limited dependent variables. The authors argue that these dependent variables are if anything more common throughout the human sciences than the kind that suit linear regression. They cover special cases or extensions of models estimation methods model diagnostics and of course software. They also discuss bounded continuous variables boundary-inflated models and methods for modeling heteroscedasticity. Wherever possible the authors have illustrated concepts models and techniques with real or realistic datasets and demonstrations in R and Stata and each chapter includes several exercises at the end. The illustrations and exercises help readers build conceptual understanding and fluency in using these techniques. At several points the authors bring together material that has been previously scattered across the literature in journal articles software package documentation files and blogs. These features help students learn to choose the appropriate models for their purpose.

GBP 42.99
1

Yearning for the Impossible The Surprising Truths of Mathematics Second Edition

AI for Games Third Edition

Fingerprint Analysis Laboratory Workbook Second Edition

Fingerprint Analysis Laboratory Workbook Second Edition

Fingerprint collection and analysis may be performed as part of many jobs including crime scene technician latent print examiner criminalist and lab supervisor. Regardless of one’s specific background or role in the process a knowledge of scientific practices is critical in handling and analyzing fingerprint evidence. The best way to understand the principles and concepts of any science learned in a classroom is to perform experiments. The exercises in Fingerprint Analysis Laboratory Workbook Second Edition address all aspects of fingerprint theory investigation processing comparisons and research. Designed specifically to parallel the Fundamentals of Fingerprint Analysis Second Edition textbook the laboratory exercises correspond with the textbook chapters with exercise in the lab chapter putting into practice the concepts covered in the text chapter. Each lab follows the same format beginning with the objectives of the experiment and providing the background information necessary to perform the experiment. This is followed by a list of required materials the lab exercises and post-lab questions for students to test what they’ve learned. Many of the laboratory exercises may be completed either at home or in a laboratory setting. Exercises and photographs enhance the text making it an ideal hands-on learning tool. New techniques and current practices added to the primary textbook have been included in this companion laboratory workbook to cover the latest in real-world application of fingerprint analysis science to practice.

GBP 35.99
1

Fundamentals of Economics for Applied Engineering

Financial Mathematics For Actuarial Science The Theory of Interest

Advanced Calculus Theory and Practice

Advanced Calculus Theory and Practice

Advanced Calculus: Theory and Practice Second Edition offers a text for a one- or two-semester course on advanced calculus or analysis. The text improves students’ problem-solving and proof-writing skills familiarizes them with the historical development of calculus concepts and helps them understand the connections among different topics. The book explains how various topics in calculus may seem unrelated but have common roots. Emphasizing historical perspectives the text gives students a glimpse into the development of calculus and its ideas from the age of Newton and Leibniz to the twentieth century. Nearly 300 examples lead to important theorems. Features of the Second Edition:Improved Organization. Chapters are reorganized to address common preferences. Enhanced Coverage of Axiomatic Systems. A section is added to include Peano’s system of axioms for the set of natural numbers and their use in developing the well-known properties of the set N. Expanded and Organized Exercise Collection. There are close to 1 000 new exercises many of them with solutions or hints. Exercises are classified based on the level of difficulty. Computation-oriented exercises are paired and solutions or hints provided for the odd-numbered questions. Enrichment Material. Historical facts and biographies of over 60 mathematicians. Illustrations. Thirty-five new illustrations are added in order to guide students through examples or proofs. About the Author:John Srdjan Petrovic is a professor at Western Michigan University. | Advanced Calculus Theory and Practice

GBP 42.99
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Foundational and Applied Statistics for Biologists Using R

Foundational and Applied Statistics for Biologists Using R

Full of biological applications exercises and interactive graphical examples Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts. Assuming only familiarity with algebra and general calculus the text offers a flexible structure for both introductory and graduate-level biostatistics courses. The first seven chapters address fundamental topics in statistics such as the philosophy of science probability estimation hypothesis testing sampling and experimental design. The remaining four chapters focus on applications involving correlation regression ANOVA and tabular analyses. Unlike classic biometric texts this book provides students with an understanding of the underlying statistics involved in the analysis of biological applications. In particular it shows how a solid statistical foundation leads to the correct application of procedures a clear understanding of analyses and valid inferences concerning biological phenomena. Web ResourceAn R package (asbio) developed by the author is available from CRAN. Accessible to those without prior command-line interface experience this companion library contains hundreds of functions for statistical pedagogy and biological research. The author’s website also includes an overview of R for novices.

GBP 42.99
1

Deep Learning for Remote Sensing Images with Open Source Software

Deep Learning for Remote Sensing Images with Open Source Software

In today’s world deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing including landcover mapping forestry urban studies disaster mapping image restoration etc. Written with practitioners and students in mind this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public free available data (Spot-7 and Sentinel-2 images OpenStreetMap vector data) using open source software (QGIS Orfeo ToolBox TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world mainly for landcover mapping but also for generic approaches (e. g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.

GBP 31.99
1

Freelance Video Game Writing The Life & Business of the Digital Mercenary for Hire

The Animation Textbook

Introductory Nanoelectronics Physical Theory and Device Analysis

Image Analysis Classification and Change Detection in Remote Sensing With Algorithms for Python Fourth Edition

Image Analysis Classification and Change Detection in Remote Sensing With Algorithms for Python Fourth Edition

Image Analysis Classification and Change Detection in Remote Sensing: With Algorithms for Python Fourth Edition is focused on the development and implementation of statistically motivated data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery including wavelet transformations kernel methods for nonlinear classification as well as an introduction to deep learning in the context of feed forward neural networks. New in the Fourth Edition: An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series. The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms. Presents easy platform-independent software installation methods (Docker containerization). Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks Based on the success and the reputation of the previous editions and compared to other textbooks in the market Professor Canty’s fourth edition differs in the depth and sophistication of the material treated as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text. | Image Analysis Classification and Change Detection in Remote Sensing With Algorithms for Python Fourth Edition

GBP 42.99
1

The Art of Proving Binomial Identities

The Art of Proving Binomial Identities

The Art of Proving Binomial Identities accomplishes two goals: (1) It provides a unified treatment of the binomial coefficients and (2) Brings together much of the undergraduate mathematics curriculum via one theme (the binomial coefficients). The binomial coefficients arise in a variety of areas of mathematics: combinatorics of course but also basic algebra (binomial theorem) infinite series (Newton’s binomial series) differentiation (Leibniz’s generalized product rule) special functions (the beta and gamma functions) probability statistics number theory finite difference calculus algorithm analysis and even statistical mechanics. The book is very suitable for advanced undergraduates or beginning graduate students and includes various exercises asking them to prove identities. Students will find that the text and notes at the end of the chapters encourages them to look at binomial coefficients from different angles. With this learning experience students will be able to understand binomial coefficients in a new way. Features:Provides a unified treatment of many of the techniques for proving binomial coefficient identities. Ties together several of the courses in the undergraduate mathematics curriculum via a single theme. A textbook for a capstone or senior seminar course in mathematics. Contains several results by the author on proof techniques for binomial coefficients that are not well-known. Ideal for self-study it contains a large number of exercises at the end of each chapter with hints or solutions for every exercise at the end of the book.

GBP 42.99
1

Cryptology Classical and Modern

Cryptology Classical and Modern

Cryptology: Classical and Modern Second Edition proficiently introduces readers to the fascinating field of cryptology. The book covers classical methods including substitution transposition Alberti Vigenère and Hill ciphers. It also includes coverage of the Enigma machine Turing bombe and Navajo code. Additionally the book presents modern methods like RSA ElGamal and stream ciphers as well as the Diffie-Hellman key exchange and Advanced Encryption Standard. When possible the book details methods for breaking both classical and modern methods. The new edition expands upon the material from the first edition which was oriented for students in non-technical fields. At the same time the second edition supplements this material with new content that serves students in more technical fields as well. Thus the second edition can be fully utilized by both technical and non-technical students at all levels of study. The authors include a wealth of material for a one-semester cryptology course and research exercises that can be used for supplemental projects. Hints and answers to selected exercises are found at the end of the book. Features:Requires no prior programming knowledge or background in college-level mathematics Illustrates the importance of cryptology in cultural and historical contexts including the Enigma machine Turing bombe and Navajo codeGives straightforward explanations of the Advanced Encryption Standard public-key ciphers and message authenticationDescribes the implementation and cryptanalysis of classical ciphers such as substitution transposition shift affine Alberti Vigenère and Hill | Cryptology Classical and Modern

GBP 42.99
1

Graph Theory and Its Applications

Graph Theory and Its Applications

Graph Theory and Its Applications Third Edition is the latest edition of the international bestselling textbook for undergraduate courses in graph theory yet it is expansive enough to be used for graduate courses as well. The textbook takes a comprehensive accessible approach to graph theory integrating careful exposition of classical developments with emerging methods models and practical needs. The authors’ unparalleled treatment is an ideal text for a two-semester course and a variety of one-semester classes from an introductory one-semester course to courses slanted toward classical graph theory operations research data structures and algorithms or algebra and topology. Features of the Third EditionExpanded coverage on several topics (e. g. applications of graph coloring and tree-decompositions)Provides better coverage of algorithms and algebraic and topological graph theory than any other text Incorporates several levels of carefully designed exercises that promote student retention and develop and sharpen problem-solving skillsIncludes supplementary exercises to develop problem-solving skills solutions and hints and a detailed appendix which reviews the textbook’s topicsAbout the AuthorsJonathan L. Gross is a professor of computer science at Columbia University. His research interests include topology and graph theory. Jay Yellen is a professor of mathematics at Rollins College. His current areas of research include graph theory combinatorics and algorithms. Mark Anderson is also a mathematics professor at Rollins College. His research interest in graph theory centers on the topological or algebraic side.

GBP 42.99
1

Mathematical Modeling with Excel

AI for Arts

Applied Differential Equations with Boundary Value Problems

Branching Story Unlocked Dialogue Designing and Writing Visual Novels

Branching Story Unlocked Dialogue Designing and Writing Visual Novels

This book covers the distinguishing characteristics and tropes of visual novels (VNs) as choice-based games and analyzes VNs like 999: Nine Hours Nine Persons Nine Doors; Hatoful Boyfriend; and Monster Prom some of the best examples of the genre as illustrations. The author covers structuring branching narrative and plot designing impactful and compelling choices writing entertaining relationships and character interactions understanding the importance of a VN’s prose and planning a VN’s overall narrative design and story delivery. The book contains exercises at the end of chapters to practice the techniques discussed. By the end of the book if the reader finishes all the exercises they may have several portfolio pieces or a significant portion of their own VN project designed. Features: Discusses different aspects and genres of VNs what makes them enjoyable and successful techniques developers can incorporate into their own games Analyzes various VNs and choice-based games that use these successful techniques Shares tips from developers on portfolio pieces hiring a team to work on VNs and plotting and outlining VNs Branching Story Unlocked Dialogue: Designing and Writing Visual Novels is a valuable resource for developers and narrative designers interested in working on VNs. The book will show them how they can design their own VN projects design branching narratives develop entertaining plots and relationships design impactful and compelling choices and write prose that’s a pleasure to read. | Branching Story Unlocked Dialogue Designing and Writing Visual Novels

GBP 34.99
1

AI for Sports

Ordinary Differential Equations An Introduction to the Fundamentals

Ordinary Differential Equations An Introduction to the Fundamentals

The Second Edition of Ordinary Differential Equations: An Introduction to the Fundamentals builds on the successful First Edition. It is unique in its approach to motivation precision explanation and method. Its layered approach offers the instructor opportunity for greater flexibility in coverage and depth. Students will appreciate the author’s approach and engaging style. Reasoning behind concepts and computations motivates readers. New topics are introduced in an easily accessible manner before being further developed later. The author emphasizes a basic understanding of the principles as well as modeling computation procedures and the use of technology. The students will further appreciate the guides for carrying out the lengthier computational procedures with illustrative examples integrated into the discussion. Features of the Second Edition:Emphasizes motivation a basic understanding of the mathematics modeling and use of technologyA layered approach that allows for a flexible presentation based on instructor's preferences and students’ abilitiesAn instructor’s guide suggesting how the text can be applied to different coursesNew chapters on more advanced numerical methods and systems (including the Runge-Kutta method and the numerical solution of second- and higher-order equations)Many additional exercises including two chapters of review exercises for first- and higher-order differential equationsAn extensive on-line solution manual About the author:Kenneth B. Howell earned bachelor’s degrees in both mathematics and physics from Rose-Hulman Institute of Technology and master’s and doctoral degrees in mathematics from Indiana University. For more than thirty years he was a professor in the Department of Mathematical Sciences of the University of Alabama in Huntsville. Dr. Howell published numerous research articles in applied and theoretical mathematics in prestigious journals served as a consulting research scientist for various companies and federal agencies in the space and defense industries and received awards from the College and University for outstanding teaching. He is also the author of Principles of Fourier Analysis Second Edition (Chapman & Hall/CRC 2016). | Ordinary Differential Equations An Introduction to the Fundamentals

GBP 42.99
1

AI for School Teachers

Collaborative Worldbuilding for Video Games