Geo.Engineerings

António J. Reis, José J. Oliveira Pedro ... 552 pages - Publisher: Wiley; (June, 2019) ... Language: English - ISBN-10: 0470843632 - ISBN-13: 978-0470843635.

Bridge Design - Concepts and Analysis provides a unique approach, combining the fundamentals of concept design and structural analysis of bridges in a single volume. The book discusses design solutions from the authors’ practical experience and provides insights into conceptual design with concrete, steel or composite bridge solutions as alternatives.

Key features: Principal design concepts and analysis are dealt with in a unified approach. + Execution methods and evolution of the static scheme during construction are dealt with for steel, concrete and composite bridges. + Aesthetics and environmental integration of bridges are considered as an issue for concept design. + Bridge analysis, including modelling and detail design aspects, is discussed for different bridge typologies and structural materials. + Specific design verification aspects are discussed on the basis of present design rules in Eurocodes. The book is an invaluable guide for postgraduate students studying bridge design, bridge designers and structural engineers.

Singiresu S. Rao ... 743 pages - Publisher: Butterworth-Heinemann; 6th edition (October, 2017) ... Language: English - AmazonSIN: B0775N6F9Y.

The Finite Element Method in Engineering, Sixth Edition, provides a thorough grounding in the mathematical principles behind the Finite Element Analysis technique an analytical engineering tool originated in the 1960's by the aerospace and nuclear power industries to find usable, approximate solutions to problems with many complex variables. Rao shows how to set up finite element solutions in civil, mechanical and aerospace engineering applications. The new edition features updated real-world examples from MATLAB, Ansys and Abaqus, and a new chapter on additional FEM topics including extended FEM (X-FEM). Professional engineers will benefit from the introduction to the many useful applications of finite element analysis.

Includes revised and updated chapters on MATLAB, Ansys and Abaqus + Offers a new chapter, Additional Topics in Finite Element Method + Includes discussion of practical considerations, errors and pitfalls in FEM singularity elements + Features a brief presentation of recent developments in FEM including extended FEM (X-FEM), augmented FEM (A-FEM) and partition of unity FEM (POUFEM) + Features improved pedagogy, including the addition of more design-oriented and practical examples and problems + Covers real-life applications, sample review questions at the end of most chapters, and updated references.

Mustafa Mahamid, Edwin H. Gaylord ... 960 pages - Publisher: McGraw-Hill Education; 5th edition (May, 2020) ... Language: English - ISBN-10: 1260115984 - ISBN-13: 978-1260115987.

Richard L. Handy ... 240 pages - Publisher: McGraw-Hill Education; (March, 2020) ... Language: English - ASIN: B07XYMT3PS.

This civil engineering textbook shows how geotechnical theory connects with the design and construction of today’s foundations. Foundation Engineering: Geotechnical Principles and Practical Applications shows how to perform critical calculations, apply the newest ground modification technologies, engineer and build effective foundations, and monitor performance and safety. Written by a recognized expert in the field, the book covers both shallow and deep foundations. Real-world case studies and practice problems help reinforce key information. Coverage includes: • Soil classification, clay, and minerals • Moisture content and unit weight • Shear strength • Consolidation • Terzagi’s eureka moment • Shallow foundations, stress distribution, and settlement • Flow nets, seepage, and dewatering • Slope stability • Deep foundations • Ground modification • Retaining walls and wall friction • Empirical tests • Field monitoring • Ethics and legal issues.

Michael R. Lindeburg ... 1648 pages - Publisher: PPI; Fifteenth Edition (November, 2015) ... Language: English - ISBN-10: 1591265088 - ISBN-13: 978-1591265085.

Comprehensive Civil PE Exam Coverage The Civil Engineering Reference Manual is the most comprehensive textbook for the NCEES Civil PE exam. This book's time-tested organization and clear explanations start with the basics to help you quickly get up to speed with common civil engineering concepts. Together, the 90 chapters provide an in-depth review of all of the topics, codes, and standards listed in the NCEES Civil PE specifications. The extensive index contains thousands of entries, with multiple entries included for each topic, so you can find the topics referenced no matter how you search. This book features: over 100 appendices containing essential support material over 500 clarifying examples over 550 common civil engineering terms defined in an easy-to-use glossary thousands of equations, figures, and tables industry-standard terminology and nomenclature equal support of U.S. customary and SI units After you pass your exam, the Civil Engineering Reference Manual will continue to serve as an invaluable reference throughout your civil engineering career.

Cameron K. Andres, Ronald C. Smith, W. Ronald Woods ... 560 pages - Publisher: Pearson; 10th edition (October, 2018) ... Language: English - ISBN-10: 0134704665 - ISBN-13: 978-0134704661.

Principles and Practices of Commercial Construction teaches students how to apply design theory to the construction process, providing crucial working knowledge for contractors managing subcontractors. Progressing from basic to advanced material, the text appears on the approved reference list for numerous states requiring contractors to pass licensing exams. Its flexible organization gives instructors the option of teaching each chapter on a standalone basis in a range of construction, architecture, and engineering courses. The 10th edition expands its discussion of practical applications in structural design projects and adds practice opportunities preparing students for licensing exams.

Kashmiri Lal Mittal, S. K. Panigrahi ... 352 pages - Publisher: Wiley-Scrivener; (September, 2020) ... Language: English - ISBN-10: 1119736439 - ISBN-13: 978-1119736431.

Most structures are comprised of a number of individual parts or components which have to be connected to form a system with integral load transmission path. The structural adhesive bonding represents one of the most enabling technologies to fabricate most complex structural configurations involving advanced materials (e.g. composites) for load-bearing applications. Quite recently there has been a lot of activity in harnessing nanotechnology (use of nanomaterials) in ameliorating the existing or devising better performing structural adhesives. The 10 chapters by subject matter experts look at the following issues: Surface preparation for structural adhesive joints (SAJ) + Use of nanoparticles in enhancing performance of SAJ + Optimization of SAJ + Durability aspects of SAJ + Debonding of SAJ + Fracture mechanics of SAJ + Failure analysis of SAJ + Damage behavior in functionally graded SAJ + Impact, shock and vibration characteristics of composites for SAJ + Delamination arrest methods in SAJ.

Roy R. Craig Jr. ... 864 pages - Publisher: Wiley; 3rd edition (February, 2011) ... Language: English - ISBN-10: 0470481811 - ISBN-13: 978-0470481813.

By emphasizing the three key concepts of mechanics of solids, this new edition helps engineers improve their problem-solving skills. They'll discover how these fundamental concepts underlie all of the applications presented, and they'll learn how to identify the equations needed to solve various problems. New discussions are included on literature reviews, focusing on the literature review found in proposals and research articles. Groupware communication tools including blogs, wikis and meeting applications are covered. More information is also presented on transmittal letters and PowerPoint style presentations.  And with the addition of detailed example problems, engineers will learn how to organize their solutions.

Abdiasis Jama ... 214 pages - Publication Date: (February, 2020) ... Language: English - AmazonSIN: B084SFJ7L9.

This study guide is written for students who are looking for understanding on statistical techniques application in their graduation research and how to analyze their data in SPSS. It is also written for practicing researchers who want to update their statistical knowledge condensed in study guide fashion with relevant examples without flooding too much mathematics. Having said that students can use this book to prepare for demanding job opportunities. The author had tried to write the guide in practical way so that students can simulate work experience while still at campus. Every statistical study tested is presented with hand calculation as well as on SPSS to reinforce interpretation of the analysis result.The study guide clearly demonstrates both in theory and in SPSS parametric test for one sample, two sample and k samples as well as their non-parametric counterparts.

Yong Bai, Zhao-Dong Xu ... 459 pages - Publisher: Wiley-Scrivener; (July, 2019) ... Language: English - AmazonSIN: B07TWR96DF.

Across many disciplines of engineering, dynamic problems of structures are a primary concern. Civil engineers, mechanical engineers, aircraft engineers, ocean engineers, and engineering students encounter these problems every day, and it is up to them systematically to grasp the basic concepts, calculation principles and calculation methods of structural dynamics. This book focuses on the basic theories and concepts, as well as the application and background of theories and concepts in engineering. Since the basic principles and methods of dynamics are applied to other various engineering fields, this book can also be used as a reference for practicing engineers in the field across many multiple disciplines and for undergraduate and graduate students in other majors as well. The main contents include basic theory of dynamics, establishment of equation of motion, single degree of freedom systems, multi-degree of freedom systems, distributed-parameter systems, stochastic structural vibrations, research projects of structural dynamics, and structural dynamics of marine pipeline and risers.Whether for the veteran engineer or student, this is a must-have for any scientific or engineering library.

Timon Rabczuk, Jeong-Hoon Song, Xiaoying Zhuang, Cosmin Anitescu ... 617 pages - Publisher: Academic Press; (November, 2019) ... Language: English - AmazonSIN: B081GSKH27.

Extended Finite Element and Meshfree Methods provides an overview of, and investigates, recent developments in extended finite elements with a focus on applications to material failure in statics and dynamics. This class of methods is ideally suited for applications, such as crack propagation, two-phase flow, fluid-structure-interaction, optimization and inverse analysis because they do not require any remeshing. These methods include the original extended finite element method, smoothed extended finite element method (XFEM), phantom node method, extended meshfree methods, numerical manifold method and extended isogeometric analysis. This book also addresses their implementation and provides small MATLAB codes on each sub-topic. Also discussed are the challenges and efficient algorithms for tracking the crack path which plays an important role for complex engineering applications. Explains all the important theory behind XFEM and meshfree methods + Provides advice on how to implement XFEM for a range of practical purposes, along with helpful MATLAB codes + Draws on the latest research to explore new topics, such as the applications of XFEM to shell formulations, and extended meshfree and extended isogeometric methods + Introduces alternative modeling methods to help readers decide what is most appropriate for their work.

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.

John D. Kelleher ... 296 pages - Publisher: The MIT Press (September, 2019) ... Language: English - ISBN-10: 0262537559 - ISBN-13: 978-0262537551.

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.

470 pages - Publisher: Springer; (April, 2020) ... Language: English - AmazonSIN: B086S1JXRW.

This book explains the use of cloud computing systems for engineering applications to satisfy the need for enterprise level, state-of-the-art computational capacities at an affordable cost. As huge costs are involved in the maintenance and timely renovation of computational capabilities, particularly for projects that require significant computational capacity, cloud services can achieve considerable savings for users and organizations engaged in engineering research and development. Dr. Stradi-Granados explains how to extract a maximum value from every dollar invested in cloud computer server. The types of facilities located around the world that lease their resources to customers interested in reducing the internal overhead and implementation time. The volume features chapters on model generation, motion studies, and prototyping is ideal for students, researchers, practitioners, and facility's managers across a range of engineering domains.

Alan Agresti ... 400 pages - Publisher: Wiley; 3rd edition (November, 2018) ... Language: English - ISBN-10: 1119405262 - ISBN-13: 978-1119405269.

A valuable new edition of a standard reference: The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.

Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises

Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

Alan Graham ... 376 pages - Publisher: Teach Yourself; (April, 2017) ... Language: English - AmazonSIN: B01KTS4XBO.

Basic Mathematics teaches you all the maths you need for everyday situations. If you are terrified by maths, this is the book for you. Do you shy away from using numbers? Basic Mathematics can help. An easy-to-follow guide, it will ensure you gain the confidence you need to tackle maths and overcome your fears. It offers simple explanations of all the key areas, including decimals, percentages, measurements and graphs, and applies them to everyday situations, games and puzzles to help you understand mathematics quickly and enjoyably. Everything you need is here in this one book. Each chapter includes clear explanations, worked examples and test questions. At the end of the book there are challenges and games to give you new and interesting ways to practise your new skills.

Yorick Wilks ... 176 pages - Publisher: Icon Books Ltd.; (June, 2019) ... Language: English - AmazonSIN: B07RL4MCXK.

Artificial intelligence has long been a mainstay of science fiction and increasingly it feels as if AI is entering our everyday lives, with technology like Apple’s Siri now prominent, and self-driving cars almost upon us. But what do we actually mean when we talk about ‘AI’? Are the sentient machines of 2001 or The Matrix a real possibility or will real-world artificial intelligence look and feel very different? What has it done for us so far? And what technologies could it yield in the future?. AI expert Yorick Wilks takes a journey through the history of artificial intelligence up to the present day, examining its origins, controversies and achievements, as well as looking into just how it works. He also considers the future, assessing whether these technologies could menace our way of life, but also how we are all likely to benefit from AI applications in the years to come. Entertaining, enlightening, and keenly argued, this is the essential one-stop guide to the AI debate.

Zed Shaw ... 320 pages - Publisher: Addison-Wesley Professional; (June, 2017) ... Language: English - ISBN-10: 0134692888 - ISBN-13: 978-0134692883.

In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises.

Install a complete Python environment + Organize and write code + Fix and break code
Basic mathematics + Variables + Strings and text + Interact with users + Work with files + Looping and logic + Data structures using lists and dictionaries + Program design + Object-oriented programming + Inheritance and composition + Modules, classes, and objects + Python packaging + Automated testing + Basic game development + Basic web development.

It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer.  This Book Is Perfect For: Total beginners with zero programming experience + Junior developers who know one or two languages + Returning professionals who haven’t written code in years + Seasoned professionals looking for a fast, simple, crash course in Python 3.

Tayseer Almattar ... 586 pages - Publisher: Packt Publishing; (December, 2019) ... Language: English - ISBN-10: 1789804108 - ISBN-13: 978-1789804102.

SOLIDWORKS is the leading choice for 3D engineering and product design applications across industries such as aviation, automobiles, and consumer product design. This book takes a practical approach to getting you up and running with SOLIDWORKS 2020. You'll start with the basics, exploring the software interface and working with drawing files. The book then guides you through topics such as sketching, building complex 3D models, generating dynamic and static assemblies, and generating 2D engineering drawings to equip you for mechanical design projects. You'll also do practical exercises to get hands-on with creating sketches, 3D part models, assemblies, and drawings. To reinforce your understanding of SOLIDWORKS, the book is supplemented by downloadable files that will help you follow up with the concepts and exercises found in the book. By the end of this book, you'll have gained the skills you need to create professional 3D mechanical models using SOLIDWORKS, and you'll be able to prepare effectively for the Certified SOLIDWORKS Associate (CSWA) and Certified SOLIDWORKS Professional (CSWP) exams.

Kandethody M. Ramachandran, Chris P. Tsokos ... 704 pages - Publisher: Academic Press; 3rd edition (June, 2020) ... Language: English - ISBN-10: 0128178159 - ISBN-13: 978-0128178157.

Paul Kurowski ... 600 pages - Publisher: SDC Publications; (March, 2018) ... Language: English - ISBN-10: 1630571539 - ISBN-13: 978-1630571535.

Engineering Analysis with SOLIDWORKS Simulation 2018 goes beyond the standard software manual. Its unique approach concurrently introduces you to the SOLIDWORKS Simulation 2018 software and the fundamentals of Finite Element Analysis (FEA) through hands-on exercises. A number of projects are presented using commonly used parts to illustrate the analysis features of SOLIDWORKS Simulation. Each chapter is designed to build on the skills, experiences and understanding gained from the previous chapters.

Mark Fenner ... 592 pages - Publisher: Addison-Wesley Professional; (August, 2019) ... Language: English - ISBN-10: 0134845625 - ISBN-13: 978-0134845623.

The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python: Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use.

Understand machine learning algorithms, models, and core machine learning concepts + Classify examples with classifiers, and quantify examples with regressors + Realistically assess performance of machine learning systems + Use feature engineering to smooth rough data into useful forms + Chain multiple components into one system and tune its performance + Apply machine learning techniques to images and text + Connect the core concepts to neural networks and graphical models + Leverage the Python scikit-learn library and other powerful tools.

Bofang Zhu ... 822 pages - Publisher: Wiley; (March, 2018) ... Language: English - AmazonSIN: B07C8HGH2Z.

A comprehensive review of the Finite Element Method (FEM), this book provides the fundamentals together with a wide range of applications in civil, mechanical and aeronautical engineering. It addresses both the theoretical and numerical implementation aspects of the FEM, providing examples in several important topics such as solid mechanics, fluid mechanics and heat transfer, appealing to a wide range of engineering disciplines. Written by a renowned author and academician with the Chinese Academy of Engineering, The Finite Element Method would appeal to researchers looking to understand how the fundamentals of the FEM can be applied in other disciplines. Researchers and graduate students studying hydraulic, mechanical and civil engineering will find it a practical reference text.

Stephen Emmitt ... 533 pages - Publisher: Wiley-Blackwell; 4th edition (August, 2018) ... Language: English - AmazonSIN: B07H1MCFMV.

The revised fourth edition of Barry's Advanced Construction of Buildings expands on the resource that has become a standard text on the construction of buildings. The fourth edition covers the construction of larger-scale buildings (primarily residential, commercial and industrial) constructed with load bearing frames in timber, concrete and steel; supported by chapters on offsite construction, piling, envelopes to framed buildings, fit-out and second fix, lifts and escalators, building pathology, upgrading and demolition.

The author covers the functional and performance requirements of the main building elements as well as building efficiency and information on meeting the challenges of limiting the environmental impact of buildings. Each chapter includes new "at a glance" summaries that introduce the basic material giving a good understanding of the main points quickly and easily. The text is fully up to date with the latest building regulations and construction technology. This important resource: Covers design, technology, offsite construction, site assembly and environmental issues of larger-scale buildings including primarily residential, commercial and industrial buildings constructed with load bearing frames + Highlights the concept of building efficiency, with better integration of the topics throughout the text + Offers new "at a glance" summaries at the beginning of each chapter + Is a companion to Barry's Introduction to Construction of Buildings, fourth edition. Written for undergraduate students and those working towards similar NQF level 5 and 6 qualifications in building and construction, Barry's Advanced Construction of Buildings is a practical and highly illustrated guide to construction practice. It covers the materials and technologies involved in constructing larger scale buildings.

Umberto Michelucci ... 431 pages - Publisher: Apress; (September, 2018) ... Language: English - AmazonSIN: B07H6D9NQ8.
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function. The next section talks about more complicated neural network architectures with several layers and neurons and explores the problem of random initialization of weights. An entire chapter is dedicated to a complete overview of neural network error analysis, giving examples of solving problems originating from variance, bias, overfitting, and datasets coming from different distributions. Applied Deep Learning also discusses how to implement logistic regression completely from scratch without using any Python library except NumPy, to let you appreciate how libraries such as TensorFlow allow quick and efficient experiments. Case studies for each method are included to put into practice all theoretical information. You’ll discover tips and tricks for writing optimized Python code (for example vectorizing loops with NumPy).

What You Will Learn: Implement advanced techniques in the right way in Python and TensorFlow + Debug and optimize advanced methods (such as dropout and regularization) + Carry out error analysis (to realize if one has a bias problem, a variance problem, a data offset problem, and so on) + Set up a machine learning project focused on deep learning on a complex dataset. Who This Book Is For: Readers with a medium understanding of machine learning, linear algebra, calculus, and basic Python programming.

Lisa Oberbroeckling ... 296 pages - Publisher: Academic Press; (June, 2020) ... Language: English - ISBN-10: 0128177993 - ISBN-13: 978-0128177990.

Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB® introduces the basics of programming and of using MATLAB® by highlighting many mathematical examples. Emphasizing mathematical concepts through the visualization of programming throughout the book, this useful resource utilizes examples that may be familiar to math students (such as numerical integration) and others that may be new (such as fractals). Additionally, the text uniquely offers a variety of MATLAB® projects, all of which have been class-tested thoroughly, and which enable students to put MATLAB® programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram–Schmidt process. Programming Mathematics Using MATLAB® is appropriate for readers familiar with sophomore-level mathematics (vectors, matrices, multivariable calculus), and is useful for math courses focused on MATLAB® specifically and those focused on mathematical concepts which seek to utilize MATLAB® in the classroom.