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Recently added materials to MERLOTCopyright (C) 2018 MERLOT Some Rights ReservedThu, 12 Apr 2018 10:11:55 GMTMERLOThttps://www.merlot.org/merlot/images/merlot_column.png
https://www.merlot.org/
-1-1Human and Machine Consciousness
https://www.merlot.org/merlot/viewMaterial.htm?id=1375040
<p> </p>
<div>
<div align="justify">Consciousness is widely perceived as one of the most fundamental, interesting and difficult problems of our time. However, we still know next to nothing about the relationship between consciousness and the brain and we can only speculate about the consciousness of animals and machines.</div>
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<div align="justify"><span style="font-style: italic;">Human and Machine Consciousness</span> presents a new foundation for the scientific study of consciousness. It sets out a bold interpretation of consciousness that neutralizes the philosophical problems and explains how we can make scientific predictions about the consciousness of animals, brain-damaged patients and machines.</div>
</div>
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<div align="justify">Gamez interprets the scientific study of consciousness as a search for mathematical theories that map between measurements of consciousness and measurements of the physical world. We can use artificial intelligence to discover these theories and they could make accurate predictions about the consciousness of humans, animals and artificial systems.<span style="font-style: italic;"> Human and Machine Consciousness</span> also provides original insights into unusual conscious experiences, such as hallucinations, religious experiences and out-of-body states, and demonstrates how ‘designer’ states of consciousness could be created in the future.</div>
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<div align="justify">Gamez explains difficult concepts in a clear way that closely engages with scientific research. His punchy, concise prose is packed with vivid examples, making it suitable for the educated general reader as well as philosophers and scientists. Problems are brought to life in colourful illustrations and a helpful summary is given at the end of each chapter. The endnotes provide detailed discussions of individual points and full references to the scientific and philosophical literature.</div>Thu, 12 Apr 2018 10:11:55 GMTDavid Gamez Middlesex UniversityAdvanced High School Statistics
https://www.merlot.org/merlot/viewMaterial.htm?id=1375024
<p>This textbook is part of the OpenIntro Statistics series and offers complete coverage of the high school AP Statistics curriculum. Real data and plenty of inline examples and exercises make this an engaging and readable book. Links to lecture slides, video overviews, calculator tutorials, and video solutions to selected end of chapter exercises make this an ideal choice for any high school or Community College teacher. In fact, Portland Community College recently adopted this textbook for its Introductory Statistics course, and it estimates that this will save their students $250,000 per year. Find out more at: openintro.org/ahss</p>Thu, 12 Apr 2018 03:42:59 GMTDavid Diez; Mine Cetinkaya-Rundel; Christopher Barr; Leah Dorazio OpenIntro; Duke University; Yale School of Management; SF University High SchoolUser talk:Musictheory2math - Encyclopedia of Mathematics
https://www.merlot.org/merlot/viewMaterial.htm?id=1375010
<p>Please see the question 1 here:</p>
<p><a href="https://www.encyclopediaofmath.org/index.php/User_talk:Musictheory2math">https://www.encyclopediaofmath.org/index.php/User_talk:Musictheory2math</a></p>Wed, 11 Apr 2018 17:40:27 GMTAlireza Badali SarebangholiOpen Science Training Handbook (ver 1)
https://www.merlot.org/merlot/viewMaterial.htm?id=1375007
<p>The Open Science Training Handbook (ver. 1) is intended for anyone who wishes to host Open Science training events or introduce Open Science concepts to discipline-training events, in order to foster the uptake of Open Research practices. This includes librarians, infrastructure providers, research support officers, funders, policy makers and decision makers. The handbook is also meant for all those who have regular or occasional contact with researchers (and other stakeholders) and wish to share their Open Science knowledge, either as part of regular working duties or as extra investment of time. Importantly, it will be of use to those hosting training events to foster reuse, participation, efficiency, equity, and sharing in research, regardless whether they ascribe to (or wish to use) the term Open Science.</p>Tue, 10 Apr 2018 17:27:34 GMTSonja Bezak; April Clyburne-Sherin; Philip Conzett ; Pedro L. Fernandes; Edit Gorogh; Kerstin Helbig; Tony Rose-Hellauer; Bianca Kramer; Ignasi Labastida; Kyle Niemeyer; Fotis Psomopoulos; Rene Schneider; Jon Tennant; Ellen Verbakel FOSTER Open Science & Project Partners: (International)Linear Algebra with Applications
https://www.merlot.org/merlot/viewMaterial.htm?id=1374974
<p style="font-weight: normal;">After being traditionally published for many years, this formidable text by W. Keith Nicholson is now being released as an open educational resource and part of Lyryx with Open Texts! Supporting today’s students and instructors requires much more than a textbook, which is why Dr. Nicholson opted to work with Lyryx Learning.</p>
<p>Overall, the aim of the text is to achieve a balance among computational skills, theory, and applications of linear algebra. It is a relatively advanced introduction to the ideas and techniques of linear algebra targeted for science and engineering students who need to understand not only how to use these methods but also gain insight into why they work.</p>
<p>The contents have enough flexibility to present a traditional introduction to the subject, or to allow for a more applied course. Chapters 1–4 contain a one-semester course for beginners whereas Chapters 5–9 contain a second semester course. The text is primarily about real linear algebra with complex numbers being mentioned when appropriate (reviewed in Appendix A).</p>
<p>Ancillary Materials:</p>
<p>Online Homework System (Lyryx Learning)</p>
<p style="font-weight: normal;">Partial Student Solution Manual, Instructor Solution Manual, Lecture Slides, LaTeX Source Files (all Creative Commons licensed)</p>
<p style="margin-bottom: 0cm; font-weight: normal; line-height: 100%;"> </p>Thu, 05 Apr 2018 19:49:38 GMTW. Keith NicholsonElementary Differential Equations with Boundary Value Problems
https://www.merlot.org/merlot/viewMaterial.htm?id=1374821
<p><em>Elementary Differential Equations with Boundary Value Problems</em>is written for students in science, engineering, and mathematics who have completed calculus through partial differentiation.</p>
<ul>
<li>An elementary text should be written so the student can read it with comprehension without too much pain. I have tried to put myself in the student’s place, and have chosen to err on the side of too much detail rather than not enough. </li>
<li>An elementary text can’t be better than its exercises. This text includes 1695 numbered exercises, many with several parts. They range in difficulty from routine to very challenging. </li>
<li>An elementary text should be written in an informal but mathematically accurate way, illustrated by appropriate graphics. I have tried to formulate mathematical concepts succinctly in language that students can understand. I have minimized the number of explicitly stated theorems and definitions, preferring to deal with concepts in a more conversational way, copiously illustrated by 250 completely worked out examples. Where appropriate, concepts and results are depicted in 144 figures.</li>
</ul>
<p>Although I believe that the computer is an immensely valuable tool for learning, doing, and writing mathematics, the selection and treatment of topics in this text reflects my pedagogical orientation along traditional lines. However, I have incorporated what I believe to be the best use of modern technology, so you can select the level of technology that you want to include in your course. The text includes 336 exercises – identified by the symbols C and C/G – that call for graphics or computation and graphics. There are also 73 laboratory exercises – identified by L – that require extensive use of technology. In addition, several sections include informal advice on the use of technology. If you prefer not to emphasize technology, simply ignore these exercises and the advice.</p>Tue, 27 Mar 2018 14:58:38 GMTWilliam F. Trench Trinity UniversityElements . of Discrete Mathematics
https://www.merlot.org/merlot/viewMaterial.htm?id=1374816
<p>Online discrete mathematics textbook with exercises; odd-numbered solutions available</p>Tue, 27 Mar 2018 14:27:25 GMTRichard Hammack Virginia Commonwealth UniversityUser talk:Musictheory2math - Encyclopedia of Mathematics
https://www.merlot.org/merlot/viewMaterial.htm?id=1374810
<p>Please see question 3 here:</p>
<p><a href="https://www.encyclopediaofmath.org/index.php/User_talk:Musictheory2math">https://www.encyclopediaofmath.org/index.php/User_talk:Musictheory2math</a></p>Mon, 26 Mar 2018 21:01:12 GMTAlireza Badali SarebangholiTransforming Matrix Algebra Education for the STEM Undergraduate
https://www.merlot.org/merlot/viewMaterial.htm?id=1374750
<p>Many university STEM major programs have reduced the credit hours for a course in Matrix Algebra or have simply dropped the course from their curriculum. The content of Matrix Algebra in many cases is taught just in time where needed. This approach can leave a student with many conceptual holes in the required knowledge of matrix algebra. This course is designed so that a student gains an introductory knowledge of matrix algebra. The topics covered in the course include the following.</p>
<p>Chapter 1: Introduction</p>
<p>Chapter 2: Vectors</p>
<p>Chapter 3: Binary Matrix Operations</p>
<p>Chapter 4: Unary Matrix Operations</p>
<p>Chapter 5: System of Equations</p>
<p>Chapter 6: Gaussian Elimination Method</p>
<p>Chapter 7: LU Decomposition</p>
<p>Chapter 8: Gauss-Seidel Method</p>
<p>Chapter 9: Adequacy of Solutions</p>
<p>Chapter 10: Eigenvalues and Eigenvectors</p>Fri, 16 Mar 2018 21:50:32 GMTAutar Kaw University of South FloridaMapping Diagrams from A(lgebra) B(asics) to C(alculus) and D(ifferential) E(quation)s. A Reference and Resource Book on Function Visualizations Using Mapping Diagrams (In Development-Draft Version )
https://www.merlot.org/merlot/viewMaterial.htm?id=1374748
<p>This resource will provide you with examples, explanations, exercises and problems that will help students use the power of the mapping diagram along with the three other tools to understand functions.</p>
<p>The four ways that connect an understanding of functions are:</p>
<ul>
<li><strong>Tables</strong> of data for "variable" quantities.</li>
<li><strong>Algebraic equations</strong> that determine a method for determining the value of (controlled or dependent) variable quantities uniquely from the value of other (controlling or independent) variable quantities.</li>
<li>The visualization of data for variable quantities using the <strong>Cartesian coordinate system.</strong></li>
<li>The visualization of data for variable quantities using <strong>mapping diagrams.</strong></li>
</ul>
<p>The more one studies mathematics, the more one encounters the concept of a function. </p>
<p>By talking about functions we come to understand how they encode information. To bring a deeper understanding to functions we give them visual expression. Seeing the information of a function presented in a variety of forms helps us recognize more concretely some of its fundamental features.<br /> <br /> These resource materials have been developed to help students understand functions more sensibly and deeply using four common ways to present the encoded information of a function. Students may have encountered some of these methods previously, but in this resource you will see how each of these methods give us different ways to view the same underlying relation.</p>
<p><strong>Other Names: </strong>Mapping diagrams are also described as <strong><em>function diagrams, dynagraphs, parallel coordinate graphs,</em> or<em> cographs.</em></strong></p>Fri, 16 Mar 2018 20:46:35 GMTMartin Flashman Department of Mathematics Humboldt State UniversityThe Smoothest Ride
https://www.merlot.org/merlot/viewMaterial.htm?id=1374705
<p>Next action star, right here. Supported by my Patreons, especially Caleb Wright, Albert Wenger, Jeremy Buchanan, Pat Devlin, Jack Heidrick, David Perryman, W...</p>Wed, 14 Mar 2018 03:08:21 GMTPhotomath - Camera calculator
https://www.merlot.org/merlot/viewMaterial.htm?id=1372015
<p>This site contains links to Photomath app available both for iOS and Android. The app allows a smartphone (or other mobile device) user to point the device camera to a hand-written math problem and with a push of a button produce a detailed step-by-step solution. </p>Tue, 06 Mar 2018 15:45:40 GMTPhotomath Team Photomath Inc.Think Stats: Probability and Statistics for Programmers
https://www.merlot.org/merlot/viewMaterial.htm?id=1370262
<p><em>Think Stats</em> is an introduction to Probability and Statistics for Python programmers.</p>
<ul>
<li><em>Think Stats </em>emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.</li>
<li>If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.</li>
</ul>Tue, 27 Feb 2018 23:30:38 GMTAllen B. Downey Franklin W. Olin College of EngineeringThink Bayes: Bayesian Statistics Made Simple
https://www.merlot.org/merlot/viewMaterial.htm?id=1370247
<p><em>Think Bayes</em> is an introduction to Bayesian statistics using computational methods.</p>
<p>The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics.</p>
<p>Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops.</p>
<p>I think this presentation is easier to understand, at least for people with programming skills. It is also more general because when we make modeling decisions, we can choose the most appropriate model without worrying too much about whether the model lends itself to conventional analysis. Also, it provides a smooth development path from simple examples to real-world problems.</p>Tue, 27 Feb 2018 23:03:11 GMTAllen B. Downey Franklin W. Olin College of EngineeringPhysical Modeling in MATLAB
https://www.merlot.org/merlot/viewMaterial.htm?id=1370215
<p>Most books that use MATLAB are aimed at readers who know how to program. This book is for people who have never programmed before. As a result, the order of presentation is unusual. The book starts with scalar values and works up to vectors and matrices very gradually. This approach is good for beginning programmers, because it is hard to understand composite objects until you understand basic programming semantics. But there are problems:</p>
<ul>
<li>The MATLAB documentation is written in terms of matrices, and so are the error messages. To mitigate this problem, the book explains the necessary vocabulary early and deciphers some of the messages that beginners find confusing.</li>
<li>Many of the examples in the first half of the book are non-standard MATLAB. I address this problem in the second half by translating the examples into a more idiomatic style.</li>
</ul>
<p>The book puts a lot of emphasis on functions, in part because they are an important tool for controlling program complexity, and also because they are useful for working with MATLAB tools like fzero and ode45. I assume that readers know calculus, differential equations, and physics, but not linear algebra. I explain the math as I go along, but the descriptions might not be enough for someone who hasn't seen the material before. There are small exercises within each chapter, and a few larger exercises at the end of some chapters.</p>Tue, 27 Feb 2018 22:12:06 GMTAllen Downey Franklin W. Olin College of EngineeringFast Fourier Transforms
https://www.merlot.org/merlot/viewMaterial.htm?id=1370163
<p>This book focuses on the discrete Fourier transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them. These topics have been at the center of digital signal processing since its beginning, and new results in hardware, theory and applications continue to keep them important and exciting. This book uses an index map, a polynomial decomposition, an operator factorization, and a conversion to a filter to develop a very general and efficient description of fast algorithms to calculate the discrete Fourier transform (DFT). The work of Winograd is outlined, chapters by Selesnick, Pueschel, and Johnson are included, and computer programs are provided.</p>Tue, 27 Feb 2018 20:59:16 GMTC. Sidney Burrus Rice UniversityFast Fourier Transforms
https://www.merlot.org/merlot/viewMaterial.htm?id=1370161
<p>This book focuses on the discrete Fourier transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them. These topics have been at the center of digital signal processing since its beginning, and new results in hardware, theory and applications continue to keep them important and exciting. This book uses an index map, a polynomial decomposition, an operator factorization, and a conversion to a filter to develop a very general and efficient description of fast algorithms to calculate the discrete Fourier transform (DFT). The work of Winograd is outlined, chapters by Selesnick, Pueschel, and Johnson are included, and computer programs are provided.</p>Tue, 27 Feb 2018 20:59:16 GMTC. Sidney Burrus Rice UniversityCombinatorics
https://www.merlot.org/merlot/viewMaterial.htm?id=1370120
<p>Combinatorics is an upper-level introductory course in enumeration, graph theory, and design theory.</p>
<h4 id="Table-contents">Table of Contents: </h4>
<ul>
<li>Chapter 1. What is Combinatorics? </li>
</ul>
<p><strong>Part I. Enumeration</strong></p>
<ul>
<li>Chapter 2. Basic Counting Techniques </li>
<li>Chapter 3. Permutations, Combinations, and the Binomial Theorem </li>
<li>Chapter 4. Bijections and Combinatorial Proofs</li>
<li>Chapter 5. Counting with Repetitions </li>
<li>Chapter 6. Induction and Recursion </li>
<li>Chapter 7. Generating Functions </li>
<li>Chapter 8. Generating Functions and Recursion</li>
<li>Chapter 9. Some Important Recursively-Defined Sequences </li>
<li>Chapter 10. Other Basic Counting Techniques </li>
</ul>
<p><strong>Part II. Graph Theory</strong></p>
<ul>
<li>Chapter 11. Basics of Graph Theory </li>
<li>Chapter 12. Moving through graphs </li>
<li>Chapter 13. Euler and Hamilton </li>
<li>Chapter 14. Graph Colouring </li>
<li>Chapter 15. Planar graphs </li>
</ul>
<p><strong>Part III. Design Theory</strong></p>
<ul>
<li>Chapter 16. Latin squares </li>
<li>Chapter 17. Designs </li>
<li>Chapter 18. More designs </li>
<li>Chapter 19. Designs and Codes</li>
</ul>Tue, 27 Feb 2018 19:22:07 GMTJoy Morris University of LethbridgeFree Math
https://www.merlot.org/merlot/viewMaterial.htm?id=1368803
<p>Free Math is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.</p>
<p>For Students, Free Math allows you to complete your math homework on your computer. The first problem has been created for you, use the box to write an equation. When you want to modify it to solve your math problem click the "next step" button to copy your expression or equation and edit it on the next line to show your work. This tool is designed to take care of some of the busywork of math, which makes it easier to record all of your thinking without a bunch of manual copying.</p>
<p>Teachers can select a file for download of assignments.</p>
<h4>Using Free Math with an LMS:</h4>
<p>LMS products come with features for collecting documents from students and managing them in bulk. These features are often used for grading files like papers or presentations. These types of files must be examined individually for grading. One great advantage of Free Math is that all documents are graded together, with optimized actions for grading similar work.</p>
<h4>FAQ:</h4>
<p><strong>Does Free Math solve math problems?</strong></p>
<p>No, Free Math allows students to record their work, but does not solve problems automatically.</p>
<p><strong>Where are the problems for Free Math?</strong></p>
<p>Free Math is designed to work with any existing excercises from a book, worksheet or digital problem bank. Students copy problems into Free Math just as they would with a paper notebook.</p>
<p><strong>Where is the answer key for grading?</strong></p>
<p>There is no need to provide Free Math with an answer key. The grading page finds similar student answers on each problem, you only need to grade each final answer once and confirm that work was provided by each student to justify reaching their answer.</p>
<p><strong>If students submit files for their assignments, how does the system prevent cheating?</strong></p>
<p>In addition to comparing individual answers, Free Math also compares students overall documents for similarity. If two or more documents share a lot of work they will be flagged for you to review side by side.</p>Thu, 22 Feb 2018 19:42:46 GMTJason Altekruse FreeMathAppB.C. Campus Open Education: Open Textbook Self-Publishing Guide
https://www.merlot.org/merlot/viewMaterial.htm?id=1368281
<p>B.C. Campus Open Education: Open Textbook Self-Publishing Guide is a practical reference/development tool for individuals or groups wanting to write and publish an open textbook. This guide provides details on the preparation, planning, writing, and publication of an open textbook as well as the importance of editing and proofreading, Copyright, open copyright licenses, and the differences between citation and attribution are discussed. The Self-Publishing Guide by Lauri Aesoph is licenced under a CC-BY 4.0 International Licence, except where otherwise noted.</p>Wed, 21 Feb 2018 02:55:09 GMTLauri M. Aesoph B.C. Campus: Victoria, B.C.INA-Rxiv Papers: The Open Access Preprint Server of Indonesia
https://www.merlot.org/merlot/viewMaterial.htm?id=1366149
<p>INA-Rxiv Papers is a free, open access, country-lead preprint service and preprint repository for all academic and scientific papers/manuscripts in their native Indonesian language. INA-Rxiv's goal is to increase international visibility of their locally produced research findings and to give the Indonesian community a voice in discussions where their future is being shaped. INA-Rxiv ultilizes the open source, Open Science Framework (OSF) Preprint Server maintained by The Center for Open Science (COS).</p>Tue, 13 Feb 2018 20:48:34 GMTDasapta Erwin Irawan; Sparisoma Viridi; Eueng Mulyana; Lusia Marliana Nurani INA-Xriv Papers: Indonesia; INA-Xriv Papers: Indonesia; INA-Xriv Papers: Indonesia; INA-Xriv Papers: IndonesiaGame Theory: An open access textbook with 165 solved exercises
https://www.merlot.org/merlot/viewMaterial.htm?id=1366067
<p>After teaching game theory (at both the undergraduate and graduate level) at the University of California, Davis for 25 years, the author decided to organize all his teaching material in a textbook. There are many excellent textbooks in game theory and there is hardly any need for a new one. However, there are two distinguishing features of this textbook: (1) it is open access and thus free, and (2) it contains an unusually large number of exercises (a total of 165) with complete and detailed answers.</p>
<p>The author tried to write the book in such a way that it would be accessible to anybody with minimum knowledge of mathematics (high-school level algebra and some elementary notions of probability) and no prior knowledge of game theory. However, the book is intended to be rigorous and it includes several proofs. The author believes it is appropriate for an advanced undergraduate class in game theory and also for a first-year graduate-level class.</p>Tue, 13 Feb 2018 16:32:22 GMTGiacomo Bonanno UC DavisCSRankings.org: Computer Science Rankings
https://www.merlot.org/merlot/viewMaterial.htm?id=1365683
<p>CSRankings.org is designed to identify institutions and faculty actively engaged in research across a number of areas of computer science, based on the number of publications that have appeared at the most selective conferences in each area of computer science.</p>Mon, 12 Feb 2018 17:10:40 GMTEmery Berger (Co-Director of PLASMA Lab) College of Information & Computer Sciences, University of Massachusetts, Amherst ( USA)Virtual Reality And It's Potential For Europe
https://www.merlot.org/merlot/viewMaterial.htm?id=1364475
<p>Virtual Reality (VR) and Augmented Reality (AR) are technologies which have the potential to transform the way we work, communicate, and experience things from manufacturing, engineering, and architecture to education, healthcare, arts, entertainment and culture. This report maps the VR industry in Europe and analyses the dynamic VR and AR ecosystem.</p>Wed, 07 Feb 2018 17:53:13 GMTEdita Bezegova; Martin Anna Ledgard; Roelof Jan Molemaker; Barbara Pia Oberc; Alexandros Vigkos ECORYS (BRUSSELS): Brussels, Belgium