the Nest of Students

Maribeth Price ... 448 pages - Publisher: McGraw-Hill Higher Education; (January, 2019) ... Language: English - AmazonSIN: B07MPCNLJC.

Although the concepts of GIS have remained fairly constant over time the software is continuallyevolving. With the release of ArcGIS Pro the latest software in the Esri GIS family a new generationof GIS has arrived. ArcGIS Pro has a 64-bit multithreaded architecture uses ribbon-stylemenus integrates 2D and 3D applications and is closely tied to ArcGIS Online.This text constitutes a major rewrite of Mastering ArcGIS a book that covered GIS conceptsand skills using the ArcGIS Desktop programs of ArcMap and ArcCatalog. Although the GISconcepts largely remain the same in both texts the implementation and in some cases theterminology has changed.

Tripp Corbin ... 542 pages - Publisher: Packt Publishing; (July, 2020) ... Language: English - ISBN-10: 1839210222 - ISBN-13: 978-1839210228.

Armed with powerful tools to visualize, maintain, and analyze data, ArcGIS Pro 2 is Esri's newest desktop geographic information system (GIS) application that uses the modern ribbon interface and a 64-bit processor to make using GIS faster and more efficient. This second edition of Learning ArcGIS Pro will show you how you can use this powerful desktop GIS application to create maps, perform spatial analysis, and maintain data.

The book begins by showing you how to install ArcGIS and listing the software and hardware prerequisites. You’ll then understand the concept of named user licensing and learn how to navigate the new ribbon interface to leverage the power of ArcGIS Pro for managing geospatial data. Once you’ve got to grips with the new interface, you’ll build your first GIS project and understand how to use the different project resources available. The book shows you how to create 2D and 3D maps by adding layers and setting and managing the symbology and labeling. You’ll also discover how to use the analysis tool to visualize geospatial data. In later chapters, you’ll be introduced to Arcade, the new lightweight expression language for ArcGIS, and then advance to creating complex labels using Arcade expressions. Finally, you'll use Python scripts to automate and standardize tasks and models in ArcGIS Pro. By the end of this ArcGIS Pro book, you’ll have developed the core skills needed for using ArcGIS Pro 2.x competently.

Ranjan Parekh ... 426 pages - Publisher: CRC Press; (December, 2019) ... Language: English - ISBN-10: 0367184826 - ISBN-13: 978-0367184827.

This book introduces fundamental concepts and principles of 2D and 3D graphics and is written for undergraduate and postgraduate students of computer science, graphics, multimedia, and data science. It demonstrates the use of MATLAB programming for solving problems related to graphics and discusses a variety of visualization tools to generate graphs and plots. The book covers important concepts like transformation, projection, surface generation, parametric representation, curve fitting, interpolation, vector representation, and texture mapping, all of which can be used in a wide variety of educational and research fields. Theoretical concepts are illustrated using a large number of practical examples and programming codes, which can be used to visualize and verify the results.

Key Features: Covers fundamental concepts and principles of 2D and 3D graphics + Demonstrates the use of MATLAB programming for solving problems on graphics + Provides MATLAB codes as answers to specific numerical problems + Provides codes in a simple copy and execute format for the novice learner + Focuses on learning through visual representation with extensive use of graphs and plots + Helps the reader gain in-depth knowledge about the subject matter through practical examples + Contains review questions and practice problems with answers for self-evaluation

Munir Hamad ... 227 pages - Publisher: Mercury Learning and Information; (April, 2020) ... Language: English - AmazonSIN: B086R378V7.

This book provides new and seasoned users with step-by-step procedures on creating and modifying 3D models, working with cameras and lights, assigning materials to objects, rendering, and printing. Unlike many AutoCAD competitors, it uses both metric and imperial units to illustrate the myriad tools for this popular application. Use the companion files to set up drawing exercises and projects and see all of the book’s figures including color. AutoCAD 2021 3D Modeling includes 50 “mini-workshops,” that complete small projects from concept through actual plotting. Solving all of the workshops will simulate the creation of full projects (architectural and mechanical) from beginning to end, without overlooking any of the basic commands and functions in AutoCAD 2021.

Brief Table Of Contents: Chapter 1: AutoCAD 2021 3D Basics. Chapter 2: Creating Solids. Chapter 3: Creating Meshes. Chapter 4: Creating Surfaces. Chapter 5: Creating Complex Solids & Surfaces. Chapter 6: Solid Editing Commands. Chapter 7: 3D Modifying Commands. Chapter 8: Converting and Sectioning. Chapter 9: Printing in 3D and Creating 3D DWF Files. Chapter 10: Cameras and Lights. Chapter 11: Materials, Rendering, Visual Styles, and Animation.

Xiaoshan Lin, Yixia (Sarah) Zhang, Prabin Pathak ... 256 pages - Publisher: Woodhead Publishing; (October, 2019) ... Language: English - AmazonSIN: B07ZR92Z6Z.

Abi O. Aghayere, Jason Vigil ... 900 pages - Publisher: Mercury Learning; 3rd edition (February, 2020) ... Language: English - ISBN-10: 1683923677 - ISBN-13: 978-1683923671.

Structural Steel Design, Third Edition is a simple, practical, and concise guide to structural steel design - using the Load and Resistance Factor Design (LRFD) and the Allowable Strength Design (ASD) methods - that equips the reader with the necessary skills for designing real-world structures. Civil, structural, and architectural engineering students intending to pursue careers in structural design and consulting engineering, and practicing structural engineers will find the text useful because of the holistic, project-based learning approach that bridges the gap between engineering education and professional practice. The design of each building component is presented in a way such that the reader can see how each element fits into the entire building design and construction process. Structural details and practical example exercises that realistically mirror what obtains in professional design practice are presented.

Features: - Includes updated content/example exercises that conform to the current codes (ASCE 7, ANSI/AISC 360-16, and IBC) - Adds coverage to ASD and examples with ASD to parallel those that are done LRFD - Follows a holistic approach to structural steel design that considers the design of individual steel framing members in the context of a complete structure.

Robert Ho ... 276 pages - Publisher: Chapman and Hall/CRC; (September, 2017) ... Language: English - AmazonSIN: B075V4BVGC.

Modern statistical software provides the ability to compute statistics in a timely, orderly fashion. This introductory statistics textbook presents clear explanations of basic statistical concepts and introduces students to the IBM SPSS program to demonstrate how to conduct statistical analyses via the popular point-and-click and the "syntax file" methods. The focal point is to show students how easy it is to analyse data using SPSS once they have learned the basics.

Provides clear explanation of basic statistical concepts that provides the foundation for the beginner students’ statistical journey. Introduces the SPSS software program. Gives clear explanation of the purpose of specific statistical procedures (e.g., frequency distributions, measures of central tendencies, measures of variability, etc.). Avoids the conventional cookbook approach that contributes very little to students’ understanding of the rationale of how the correct results were obtained.The advantage of learning the IBM SPSS software package at the introductory class level is that most social sciences students will employ this program in their later years of study. This is because SPSS is one of the most popular of the many statistical packages currently available. Learning how to use this program at the very start not only familiarizes students with the utility of this program but also provides them with the experience to employ the program to conduct more complex analyses in their later years.

Nancy Whittier, Tina Wildhagen, Howard J. Gold ... 696 pages - Publisher: Rowman & Littlefield Publishers (January, 2019) ... Language: English - ISBN-10: 1538109832 - ISBN-13: 978-1538109830.

Statistics for Social Understanding: With Stata and SPSS introduces students to the way statistics is used in the social sciences--as a tool for advancing understanding of the social world. Written in an engaging and clear voice and based on the latest research on the teaching and learning of quantitative material, the text is geared to introductory students in the social sciences, including those with little quantitative background. It covers the conceptual aspects of statistics even when the mathematical details are minimized. Informed by research on teaching and learning in statistics, the book takes a universal design approach to accommodate diverse learning styles. With an early chapter on cross-tabulation, a focus on comparisons between groups throughout, and a unique chapter on causality, the text shows students the power of statistics for answering important real-world questions.

By providing thorough coverage of social science statistical topics, a balanced approach to calculation, and step-by-step directions on how to use statistical software, authors Nancy Whittier, Tina Wildhagen, and Howard J. Gold give students the ability to analyze data and explore and answer exciting questions. To accommodate changing undergraduate courses, the text incorporates examples from both Stata and SPSS in every chapter and provides practice problems of every type as well as readily available datasets for classroom use, including the General Social Survey, American National Election Study, and more. Each chapter concludes with a chapter summary, a section on using Stata, a section on using SPSS, and practice problems.

Darren George, Paul Mallery ... 402 pages - Publisher: Routledge; 16th edition (December, 2019) ... Language: English - ISBN-10: 0367174359 - ISBN-13: 978-0367174354.

IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference, sixteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multi-dimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression and a chapter describing residuals. Back matter includes a description of data files used in exercises, an exhaustive glossary, suggestions for further reading and a comprehensive index.

IMB SPSS Statistics 26 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 26 + How to handle missing data has been revised and expanded and now includes a detailed explanation of how to create regression equations to replace missing data + More explicit coverage of how to report APA style statistics; this primarily shows up in the Output sections of Chapters 6 through 16, though changes have been made throughout the text.

Eihab B. M. Bashier ... 348 pages - Publisher: CRC Press; (March, 2020) ... Language: English - ISBN-10: 0367076691 - ISBN-13: 978-0367076696.

Practical Numerical and Scientific Computing with MATLAB and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems. This book has the following advantages: It adopts the programming languages, MATLAB and Python, which are widely used among academics, scientists, and engineers, for ease of use and contain many libraries covering many scientific and engineering fields. + It contains topics that are rarely found in other numerical analysis books, such as ill-conditioned linear systems and methods of regularization to stabilize their solutions, nonstandard finite differences methods for solutions of ordinary differential equations, and the computations of the optimal controls. It provides a practical explanation of how to apply these topics using MATLAB and Python. + It discusses software libraries to solve mathematical problems, such as software Gekko, pulp, and pyomo. These libraries use Python for solutions to differential equations and static and dynamic optimization problems. + Most programs in the book can be applied in versions prior to MATLAB 2017b and Python 3.7.4 without the need to modify these programs. This book is aimed at newcomers and middle-level students, as well as members of the scientific community who are interested in solving math problems using MATLAB or Python.

Javier E. Hasbun, Trinanjan Datta ... 570 pages - Publisher: CRC Press; (October, 2019) ... Language: English - AmazonSIN: B07YM3PN27.

Solid state physics, the study and prediction of the fundamental physical properties of materials, forms the backbone of modern materials science and has many technological applications. The unique feature of this text is the MATLABbased computational approach with several numerical techniques and simulation methods included. This is highly effective in addressing the need for visualization and a direct hands-on approach in learning the theoretical concepts of solid state physics. The code is freely available to all textbook users.

Additional Features: Uses the pedagogical tools of computational physics that have become important in enhancing physics teaching of advanced subjects such as solid state physics + Adds visualization and simulation to the subject in a way that enables students to participate actively in a hand-on approach + Covers the basic concepts of solid state physics and provides students with a deeper understanding of the subject matter + Provides unique example exercises throughout the text + Obtains mathematical analytical solutions + Carries out illustrations of important formulae results using programming scripts that students can run on their own and reproduce graphs and/or simulations + Helps students visualize solid state processes and apply certain numerical techniques using MATLAB®, making the process of learning solid state physics much more effective + Reinforces the examples discussed within the chapters through the use of end-of-chapter exercises + Includes simple analytical and numerical examples to more challenging ones, as well as computational problems with the opportunity to run codes, create new ones, or modify existing ones to solve problems or reproduce certain results

Pijush Samui, Dookie Kim, Nagesh R. Iyer, Sandeep Chaudhary ... 1104 pages - Publisher: Butterworth-Heinemann; (July, 2020) ... Language: English - AmazonSIN: B08CZDJDS6.

New Materials in Civil Engineering provides engineers and scientists with the tools and methods needed to meet the challenge of designing and constructing more resilient and sustainable infrastructures. This book is a valuable guide to the properties, selection criteria, products, applications, lifecycle and recyclability of advanced materials. It presents an A-to-Z approach to all types of materials, highlighting their key performance properties, principal characteristics and applications. Traditional materials covered include concrete, soil, steel, timber, fly ash, geosynthetic, fiber-reinforced concrete, smart materials, carbon fiber and reinforced polymers. In addition, the book covers nanotechnology and biotechnology in the development of new materials.

Covers a variety of materials, including fly ash, geosynthetic, fiber-reinforced concrete, smart materials, carbon fiber reinforced polymer and waste materials + Provides a “one-stop” resource of information for the latest materials and practical applications + Includes a variety of different use case studies.

John T. Katsikadelis ... 1812 pages - Publisher: Academic Press; (June, 2020) ... Language: English - AmazonSIN: B08C1YKKCJ.

Dynamic Analysis of Structures reflects the latest application of structural dynamics theory to produce more optimal and economical structural designs. Written by an author with over 37 years of researching, teaching and writing experience, this reference introduces complex structural dynamics concepts in a user-friendly manner. The author includes carefully worked-out examples which are solved utilizing more recent numerical methods. These examples pave the way to more accurately simulate the behavior of various types of structures. The essential topics covered include principles of structural dynamics applied to particles, rigid and deformable bodies, thus enabling the formulation of equations for the motion of any structure.

Covers the tools and techniques needed to build realistic modeling of actual structures under dynamic loads + Provides the methods to formulate the equations of motion of any structure, no matter how complex it is, once the dynamic model has been adopted + Provides carefully worked-out examples that are solved using recent numerical methods + Includes simple computer algorithms for the numerical solution of the equations of motion and respective code in FORTRAN and MATLAB.

Erik Lee Nylen, Pascal Wallisch ... 368 pages - Publisher: Academic Press; (April, 2017) ... Language: English - ISBN-10: 0128040432 - ISBN-13: 978-0128040430.

A Primer with MATLAB® and Python™ present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility.

Math Wizo ... 60 pages - Publisher: Independently Published; (February, 2019) ... Language: English - ISBN-10: 1793436789 - ISBN-13: 978-1793436788.

In this introductory guide, you will easily learn: An overview on data sampling + The calculation of measures of central tendency (mean, median, mode, and range). + How to calculate the measure of data dispersion (standard deviation) on both a population and on a sample. + Calculating the best fit line using the Least Squared Method. + Constructing Box-Whisker Plots, and how to calculate the 3 quartile values. + All about false positive and false negative results and how to calculate confidence intervals using the data information and z-scores. + How to calculate the margin of error and how to conduct Chi square p-values to measure the significance of test results. + And Much More!

F. B. J. Barends ... 158 pages - Publisher: Routledge; (November, 2017) ... Language: English - AmazonSIN: B078RRH98G.

This volume provides an overview of the proceedings of the XIIth ECSME Conference 1999. It covers a wide variety of topics, from summaries of workshops and sessions, to the emergence of information technology and information retrieval and communication.

Leonid Burstein ... 284 pages - Publisher: Woodhead Publishing; (February, 2020) ... Language: English - AmazonSIN: B084L22J54.

A MATLAB Primer for Technical Programming for Materials Science and Engineering draws on examples from the field, providing the latest information on this programming tool that is targeted towards materials science. The book enables non-programmers to master MATLAB in order to solve problems in materials science, assuming only a modest mathematical background. In addition, the book introduces programming and technical concepts in a logical manner to help students use MATLAB for subsequent projects. This title offers materials scientists who are non-programming specialists with a coherent and focused introduction to MATLAB. Provides the necessary background, alongside examples drawn from the field, to allow materials scientists to effectively master MATLAB. + Guides the reader through programming and technical concepts in a logical and coherent manner. + Promotes a thorough working familiarity with MATLAB for materials scientists. + Gives the information needed to write efficient and compact programs to solve problems in materials science, tribology, mechanics of materials and other material-related disciplines.

Gary Mavko, Tapan Mukerji, Jack Dvorkin ... 524 pages - Publisher: Cambridge University Press; 2nd edition (May, 2009) ... Language: English - ISBN-10: 0521861365.

This fully updated text addresses the relationships between geophysical observations and the underlying physical properties of rocks. It distills a vast quantity of background theory and laboratory results into a series of concise chapters that provide practical solutions to problems in geophysical data interpretation. Now in its second edition, major new chapters are presented on statistical rock physics and velocity-porosity-clay models for clastic sediments. Other new and expanded topics include anisotropic seismic signatures, borehole waves, models for fractured media, poroelastic models, and attenuation models. Also new to this edition is an enhanced set of appendices with key empirical results, data tables, and an atlas of reservoir rock properties - extended to include carbonates, clays, gas hydrates, and heavy oils. Supported by a website hosting MATLAB routines for implementing the various rock physics formulas, this book is a vital resource for advanced students and university faculty, as well as petroleum industry geophysicists and engineers.

Galit Shmueli, Peter C. Bruce, Nitin R. Patel ... 560 pages - Publisher: Wiley; 3rd edition (April, 2016) ... Language: English - ISBN-10: 1118729277 - ISBN-13: 978-1118729274.

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods + End-of-chapter exercises that help readers better understand the presented material + Data-rich case studies to illustrate various applications of data mining techniques + Completely new chapters on social network analysis and text mining + A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides https://www.dataminingbook.com + Free 140-day license to use XLMiner for Education software.

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology.

Iain Pardoe .. 346 pages - Publisher: Wiley; 2nd edition (July, 2012) ... Language: English - ISBN-10: 1118097289 - ISBN-13: 978-1118097281.

Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling.

In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction + Testing model assumptions + Nonconstant variance + Autocorrelation + Variable selection methods + Model building and graphical interpretation. Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos.