tag:open.umn.edu,2005:/opentextbooks/textbooks?commit=Go&locale=es&page=4&pe=15&term=where+to+buy+Universiti+Utara+Malaysia+offer%E3%80%90TG%3A%40Facy90%E3%80%91yOcwhere+to+buy+Universiti+Utara+Malaysia+offer%E3%80%90TG%3A%40Facy90%E3%80%91Open Textbook Library - Search results for "where to buy Universiti Utara Malaysia offer【TG:@Facy90】yOcwhere to buy Universiti Utara Malaysia offer【TG:@Facy90】"2023-10-21T18:04:30Zhttps://open.umn.edu/assets/common/favicon/favicon-1594c2156c95ca22b1a0d803d547e5892bb0e351f682be842d64927ecda092e7.icohttps://open.umn.edu/assets/library/otl_logo-f9161d5c999f5852b38260727d49b4e7d7142fc707ec9596a5256a778f957ffc.png15182023-10-21T18:09:46Z2023-10-21T18:09:46ZPower, Profit, and Privilege: Problematizing Scholarly Publishing<img alt="Read more about Power, Profit, and Privilege: Problematizing Scholarly Publishing" title="Power, Profit, and Privilege: Problematizing Scholarly Publishing cover image" class="cover " width="350" height="525" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MTAwODQsInB1ciI6ImJsb2JfaWQifX0=--e6bbe6569f80aff4bd5f162137f0275a86ab7d73/Makula_Cover-350x525.png" />This open course introduces students to the scholarly communications system — with particular emphasis on the scholarly journal publishing mechanism — wherein new information is created, evaluated, disseminated, and preserved.15162023-10-21T17:35:46Z2023-10-21T17:35:46ZThe Shallow and the Deep: A biased introduction to neural networks and old school machine learning<img alt="Read more about The Shallow and the Deep: A biased introduction to neural networks and old school machine learning" title="The Shallow and the Deep: A biased introduction to neural networks and old school machine learning cover image" class="cover " width="200" height="283" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MTAwNzcsInB1ciI6ImJsb2JfaWQifX0=--d12a918868e594d582f6d091f5f991ec0c6cc74c/submission_130_126_coverImage_en_US_t.jpg" />The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical machine learning techniques, with a bias towards classification and regression. Other learning paradigms and many recent developments in, for instance, Deep Learning are not addressed or only briefly touched upon. Biehl argues that having a solid knowledge of the foundations of the field is essential, especially for anyone who wants to explore the world of machine learning with an ambition that goes beyond the application of some software package to some data set. Therefore, The Shallow and the Deep places emphasis on fundamental concepts and theoretical background. This also involves delving into the history and pre-history of neural networks, where the foundations for most of the recent developments were laid. These notes aim to demystify machine learning and neural networks without losing the appreciation for their impressive power and versatility.15152023-10-19T15:39:09Z2023-10-19T15:39:09ZCultivar Development<img alt="Read more about Cultivar Development" title="Cultivar Development cover image" class="cover " width="350" height="453" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTk5MywicHVyIjoiYmxvYl9pZCJ9fQ==--abac51dfd1fd18bac32f5b7377c325c5fb4675c9/cultivardevelopment-cover-350x453.png" />This open textbook places emphasis on the design of a process pipeline for continuous development of new improved cultivars as a means to implement the cycle of crop improvement. Essential topics in New Line Development and New Line Evaluation are addressed, such as choice of parents, creation of progeny, and evaluation and selection of progeny. Students learn to design a process pipeline to produce improved cultivars that meet a specific product target which represents stakeholders’ needs.15142023-10-01T00:00:00Z2023-12-22T17:20:27ZQuantitative Genetics for Plant Breeding<img alt="Read more about Quantitative Genetics for Plant Breeding" title="Quantitative Genetics for Plant Breeding cover image" class="cover " width="350" height="453" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTk5MSwicHVyIjoiYmxvYl9pZCJ9fQ==--cc6804a1ba2905bc91ce5780a0b1338dce515c52/quantiativegenetics-cover-1-350x453.png" />This open textbook is intended to expose students to the application of quantitative genetic models to plant breeding populations. Specific topics include conducting and interpreting multi-environment trials, resource allocation using engineering principles, genetic modeling of quantitative traits, simulation modeling, variance, covariance and heritability, prediction, selection, and genetic gain.15132023-10-19T15:43:28Z2023-10-19T15:43:52ZQuantitative Methods for Plant Breeding<img alt="Read more about Quantitative Methods for Plant Breeding" title="Quantitative Methods for Plant Breeding cover image" class="cover " width="350" height="453" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTk4OCwicHVyIjoiYmxvYl9pZCJ9fQ==--586cec0f0a57356619720ffc33b1855e5221b74b/quantitativemethods-cover-350x453.png" />This open textbook covers common statistics used in agriculture research, including experimental design in plant breeding and genetics, as well as the analysis of variance, regression, and correlation.15102023-10-15T22:29:52Z2023-10-16T23:42:47ZPolimetrics: A Stata Companion to Introduction to Political Science Research Methods - 1st Edition<img alt="Read more about Polimetrics: A Stata Companion to Introduction to Political Science Research Methods - 1st Edition" title="Polimetrics: A Stata Companion to Introduction to Political Science Research Methods - 1st Edition cover image" class="cover " width="608" height="788" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTg4NiwicHVyIjoiYmxvYl9pZCJ9fQ==--884d3e8dfd3a69c08105e507eb9de39c342b97f7/Screenshot%202023-10-15%20at%205.13.07%20PM.png" />Polimetrics: A Stata Companion, authored by Dr. Josh Franco, is an Open Education Resource workbook licensed CC BY-NC and designed as a Stata companion to Introduction to Political Science Research Methods. This workbook provides a tour of the Stata software, an introduction to cross-sectional, time series, and panel data, and an introduction to a variety of models. I review models where the outcome is linear, binary, ordinal, categorical, and count. Additionally, I have an interpretation chapter on survival models. Each “Models” chapter has a similar organizational structure: about, estimated time, what is the model, how are models run in Stata, how do we interpret the model results, and a real-world example of model results in a Creative Commons licensed, peer-reviewed journal article. Additionally, mini-assignment instructions and a rubric are included so students can practice their interpretation skills.15072023-10-15T21:43:33Z2023-10-15T21:44:03ZCreating a circular healthcare economy: Sustainable strategies for a circular healthcare<img alt="Read more about Creating a circular healthcare economy: Sustainable strategies for a circular healthcare" title="Creating a circular healthcare economy: Sustainable strategies for a circular healthcare cover image" class="cover " width="300" height="370" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTg3NywicHVyIjoiYmxvYl9pZCJ9fQ==--6aa5d3c7b23df83fdeb85a76761511f4a239e9fd/submission_69_86_coverImage_en_US_t.png" />Our world is the only planet, as far as we know, which harbors life. The number of humans on our planet has grown tremendously in recent centuries. In 1800 one billion humans occupied our earth; on 15 November 2022, this number reached 8 billion. A result of this growth, the emissions of carbon dioxide (CO2), the primary greenhouse gas emitted by human activities, drastically increased. The increased concentrations of greenhouse gases in our atmosphere foster the long-term increase of our earth’s temperatures, also referred to as global warming. While the earth’s population grew, so did our mass consumption society. After the Second World War humanity witnessed gigantic global economic development with great technological improvements. Computers, laptops, airplanes, tablets and Internet of Things connected humans all over the world. The hunger for plastics and steel grew as all products had to be manufactured in ever-increasing volumes. As the economy developed, our consumption grew apace. The healthcare sector has seen the same increase of consumption. The number of patients grew, and so did the number of single-use medical products. As products become more complex and more different materials were combined., recycling became more difficult. Thus, hospitals transformed into waste factories with ever-growing waste streams. The consumption of (disposable) medical devices takes up scarce raw materials and contributes to the growing CO2 emissions. In this book, Van Straten, Alvino and Horeman present their findings on how to create a sustainable healthcare economy by introducing different circular strategies. In 9 chapters, they present a wide variation of studies as practical cases to show what strategies and actions can be taken in order to implement sustainable strategies for a circular healthcare. This book was written in line with the courses the authors developed at TU Extension School, the open online education edX platform of Delft University of Technology/TU Delft, a leading university in science and technology, recognized for its world-class research. This book is a manual for everyone who follows the online course ‘Circular strategies for a sustainable healthcare’, but certainly also for everyone who wants to discover more about circular strategies and wants to understand the principles and practices of circular economy and urban mining. This book is suitable for students, researchers, policymakers and practitioners in the fields of healthcare sustainability, management, business and economics.14972023-09-28T22:45:31Z2023-09-28T22:45:31ZStructured Electronics Design: A Conceptual Approach to Amplifier Design - 3rd ed.<img alt="Read more about Structured Electronics Design: A Conceptual Approach to Amplifier Design - 3rd ed." title="Structured Electronics Design: A Conceptual Approach to Amplifier Design - 3rd ed. cover image" class="cover " width="300" height="370" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTU5MSwicHVyIjoiYmxvYl9pZCJ9fQ==--61ca6e216bbadd114c3328ab8d068f0c65e5064b/submission_62_79_coverImage_en_US_t.png" />Many people consider analog electronic circuit design complex. This is because designers can achieve the desired performance of a circuit in many ways. Together, theoretical concepts, circuit topologies, electronic devices, their operating conditions, and the system's physical construction constitute an enormous design space in which it is easy to get lost. For this reason, analog electronics often is regarded as an art rather than a solid discipline.14962023-09-28T22:32:41Z2023-10-09T14:28:37ZClassical Numerical Methods in Scientific Computing<img alt="Read more about Classical Numerical Methods in Scientific Computing" title="Classical Numerical Methods in Scientific Computing cover image" class="cover " width="300" height="350" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTU4OCwicHVyIjoiYmxvYl9pZCJ9fQ==--735b24851aa129204bfdb36cb407784bc4c1ce3c/submission_67_84_coverImage_en_US_t.png" />Partial differential equations are paramount in mathematical modelling with applications in engineering and science. The book starts with a crash course on partial differential equations in order to familiarize the reader with fundamental properties such as existence, uniqueness and possibly existing maximum principles. The main topic of the book entails the description of classical numerical methods that are used to approximate the solution of partial differential equations. The focus is on discretization methods such as the finite difference, finite volume and finite element method. The manuscript also makes a short excursion to the solution of large sets of (non)linear algebraic equations that result after application of discretization method to partial differential equations. The book treats the construction of such discretization methods, as well as some error analysis, where it is noted that the error analysis for the finite element method is merely descriptive, rather than rigorous from a mathematical point of view. The last chapters focus on time integration issues for classical time-dependent partial differential equations. After reading the book, the reader should be able to derive finite element methods, to implement the methods and to judge whether the obtained approximations are consistent with the solution to the partial differential equations. The reader will also obtain these skills for the other classical discretization methods. Acquiring such fundamental knowledge will allow the reader to continue studying more advanced methods like meshfree methods, discontinuous Galerkin methods and spectral methods for the approximation of solutions to partial differential equations.14952023-09-28T22:10:35Z2024-01-22T15:05:54ZNumerical Methods in Scientific Computing<img alt="Read more about Numerical Methods in Scientific Computing" title="Numerical Methods in Scientific Computing cover image" class="cover " width="300" height="370" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTU4NSwicHVyIjoiYmxvYl9pZCJ9fQ==--4252392e602cdff5e054f9e09f20c2fca0f75246/submission_70_87_coverImage_en_US_t.png" />This is a book about numerically solving partial differential equations occurring in technical and physical contexts and the authors have set themselves a more ambitious target than to just talk about the numerics. Their aim is to show the place of numerical solutions in the general modeling process and this must inevitably lead to considerations about modeling itself. Partial differential equations usually are a consequence of applying first principles to a technical or physical problem at hand. That means, that most of the time the physics also have to be taken into account especially for validation of the numerical solution obtained. This book aims especially at engineers and scientists who have ’real world’ problems. It will concern itself less with pesky mathematical detail. For the interested reader though, we have included sections on mathematical theory to provide the necessary mathematical background. Since this treatment had to be on the superficial side we have provided further reference to the literature where necessary.
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