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Examples in Structural Analysis

Examples in Structural Analysis Pdf/ePub eBook Author:
Editor: CRC Press
ISBN: 1466595272
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Examples in Structural Analysis by Summary

This second edition of Examples in Structural Analysis uses a step-by-step approach and provides an extensive collection of fully worked and graded examples for a wide variety of structural analysis problems. It presents detailed information on the methods of solutions to problems and the results obtained. Also given within the text is a summary of each of the principal analysis techniques inherent in the design process and where appropriate, an explanation of the mathematical models used. The text emphasises that software should only be used if designers have the appropriate knowledge and understanding of the mathematical modelling, assumptions and limitations inherent in the programs they use. It establishes the use of hand-methods for obtaining approximate solutions during preliminary design and an independent check on the answers obtained from computer analyses. What’s New in the Second Edition: New chapters cover the development and use of influence lines for determinate and indeterminate beams, as well as the use of approximate analyses for indeterminate pin-jointed and rigid-jointed plane-frames. This edition includes a rewrite of the chapter on buckling instability, expands on beams and on the use of the unit load method applied to singly redundant frames. The x-y-z co-ordinate system and symbols have been modified to reflect the conventions adopted in the structural Eurocodes. William M. C. McKenzie is also the author of six design textbooks relating to the British Standards and the Eurocodes for structural design and one structural analysis textbook. As a member of the Institute of Physics, he is both a chartered engineer and a chartered physicist and has been involved in consultancy, research and teaching for more than 35 years.

Python for Data Analysis

Python for Data Analysis Pdf/ePub eBook Author: Wes McKinney
Editor: \"O\'Reilly Media, Inc.\"
ISBN: 1491957611
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Python for Data Analysis by Wes McKinney Summary

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences Pdf/ePub eBook Author: Jacob Cohen
Editor: Routledge
ISBN: 1134742770
FileSize: 348kb
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Statistical Power Analysis for the Behavioral Sciences by Jacob Cohen Summary

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Deep Learning with PyTorch

Deep Learning with PyTorch Pdf/ePub eBook Author: Luca Pietro Giovanni Antiga,Eli Stevens,Thomas Viehmann
Editor: Simon and Schuster
ISBN: 1638354073
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Deep Learning with PyTorch by Luca Pietro Giovanni Antiga,Eli Stevens,Thomas Viehmann Summary

“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production

Programming for Computations - MATLAB/Octave

Programming for Computations - MATLAB/Octave Pdf/ePub eBook Author: Svein Linge,Hans Petter Langtangen
Editor: Springer
ISBN: 3319324527
FileSize: 1993kb
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Programming for Computations - MATLAB/Octave by Svein Linge,Hans Petter Langtangen Summary

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

The Elements of Statistical Learning

The Elements of Statistical Learning Pdf/ePub eBook Author: Trevor Hastie,Robert Tibshirani,Jerome Friedman
Editor: Springer Science & Business Media
ISBN: 0387216065
FileSize: 1943kb
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The Elements of Statistical Learning by Trevor Hastie,Robert Tibshirani,Jerome Friedman Summary

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

Advanced Calculus

Advanced Calculus Pdf/ePub eBook Author: Lynn Harold Loomis,Shlomo Sternberg
Editor: World Scientific Publishing Company
ISBN: 9814583952
FileSize: 1982kb
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Advanced Calculus by Lynn Harold Loomis,Shlomo Sternberg Summary

An authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find textbook for the advanced calculus course for decades. This book is based on an honors course in advanced calculus that the authors gave in the 1960's. The foundational material, presented in the unstarred sections of Chapters 1 through 11, was normally covered, but different applications of this basic material were stressed from year to year, and the book therefore contains more material than was covered in any one year. It can accordingly be used (with omissions) as a text for a year's course in advanced calculus, or as a text for a three-semester introduction to analysis. The prerequisites are a good grounding in the calculus of one variable from a mathematically rigorous point of view, together with some acquaintance with linear algebra. The reader should be familiar with limit and continuity type arguments and have a certain amount of mathematical sophistication. As possible introductory texts, we mention Differential and Integral Calculus by R Courant, Calculus by T Apostol, Calculus by M Spivak, and Pure Mathematics by G Hardy. The reader should also have some experience with partial derivatives. In overall plan the book divides roughly into a first half which develops the calculus (principally the differential calculus) in the setting of normed vector spaces, and a second half which deals with the calculus of differentiable manifolds.

Natural Language Processing with Python

Natural Language Processing with Python Pdf/ePub eBook Author: Steven Bird,Ewan Klein,Edward Loper
Editor: \"O\'Reilly Media, Inc.\"
ISBN: 0596555717
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Natural Language Processing with Python by Steven Bird,Ewan Klein,Edward Loper Summary

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

Analysis I

Analysis I Pdf/ePub eBook Author: Terence Tao
Editor: Springer
ISBN: 9811017891
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Analysis I by Terence Tao Summary

This is part one of a two-volume book on real analysis and is intended for senior undergraduate students of mathematics who have already been exposed to calculus. The emphasis is on rigour and foundations of analysis. Beginning with the construction of the number systems and set theory, the book discusses the basics of analysis (limits, series, continuity, differentiation, Riemann integration), through to power series, several variable calculus and Fourier analysis, and then finally the Lebesgue integral. These are almost entirely set in the concrete setting of the real line and Euclidean spaces, although there is some material on abstract metric and topological spaces. The book also has appendices on mathematical logic and the decimal system. The entire text (omitting some less central topics) can be taught in two quarters of 25–30 lectures each. The course material is deeply intertwined with the exercises, as it is intended that the student actively learn the material (and practice thinking and writing rigorously) by proving several of the key results in the theory.

Psychology of Intelligence Analysis

Psychology of Intelligence Analysis Pdf/ePub eBook Author: Richards J Heuer
Editor: Pickle Partners Publishing
ISBN: 1839743050
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Psychology of Intelligence Analysis by Richards J Heuer Summary

In this seminal work, published by the C.I.A. itself, produced by Intelligence veteran Richards Heuer discusses three pivotal points. First, human minds are ill-equipped ("poorly wired") to cope effectively with both inherent and induced uncertainty. Second, increased knowledge of our inherent biases tends to be of little assistance to the analyst. And lastly, tools and techniques that apply higher levels of critical thinking can substantially improve analysis on complex problems.

Fundamentals of Biomechanics

Fundamentals of Biomechanics Pdf/ePub eBook Author: Duane Knudson
Editor: Springer Science & Business Media
ISBN: 1475752989
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Fundamentals of Biomechanics by Duane Knudson Summary

Fundamentals of Biomechanics introduces the exciting world of how human movement is created and how it can be improved. Teachers, coaches and physical therapists all use biomechanics to help people improve movement and decrease the risk of injury. The book presents a comprehensive review of the major concepts of biomechanics and summarizes them in nine principles of biomechanics. Fundamentals of Biomechanics concludes by showing how these principles can be used by movement professionals to improve human movement. Specific case studies are presented in physical education, coaching, strength and conditioning, and sports medicine.

PISA Take the Test Sample Questions from OECD's PISA Assessments

PISA Take the Test Sample Questions from OECD's PISA Assessments Pdf/ePub eBook Author: OECD
Editor: OECD Publishing
ISBN: 9264050817
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PISA Take the Test Sample Questions from OECD's PISA Assessments by OECD Summary

This book presents all the publicly available questions from the PISA surveys. Some of these questions were used in the PISA 2000, 2003 and 2006 surveys and others were used in developing and trying out the assessment.

Handbook of Structural Steel Connection Design and Details, Third Edition

Handbook of Structural Steel Connection Design and Details, Third Edition Pdf/ePub eBook Author: Akbar R. Tamboli
Editor: McGraw Hill Professional
ISBN: 1259585522
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Handbook of Structural Steel Connection Design and Details, Third Edition by Akbar R. Tamboli Summary

The definitive guide to steel connection design—fully revised to cover the latest advances Featuring contributions from a team of industry-recognized experts, this up-to-date resource offers comprehensive coverage of every type of steel connection. The book explains leading methods for connecting structural steel components—including state-of-the-art techniques and materials—and contains new information on fastener and welded joints. Thoroughly updated to align with the latest AISC and ICC codes, Handbook of Structural Steel Connection Design and Details, Third Edition, features brand-new material on important structural engineering topics that are hard to find covered elsewhere. You will get complete details on fastener installation, space truss connections, composite member connections, seismic codes, and inspection and quality control requirements. The book also includes LRFD load guidelines and requirements from the American Welding Society. • Distills ICC and AISC 2016 standards and explains how they relate to steel connections • Features hundreds of detailed examples, photographs, and illustrations • Each chapter is written by a leading expert from industry or academia

Design of Steel Structures

Design of Steel Structures Pdf/ePub eBook Author: Jay Shen,Bulent Akbas,Onur Seker,Mahmoud Faytarouni
Editor: McGraw Hill Professional
ISBN: 1260452344
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Design of Steel Structures by Jay Shen,Bulent Akbas,Onur Seker,Mahmoud Faytarouni Summary

A straightforward overview of the fundamentals of steel structure design This hands-on structural engineering guide provides concise, easy-to-understand explanations of the design and behavior of steel columns, beams, members, and connections. Ideal for preparing you for the field, Design of Steel Structures includes real-world examples that demonstrate practical applications of AISC 360 specifications. You will get an introduction to more advanced topics, including connections, composite members, plate girders, and torsion. This textbook also includes access to companion online videos that help connect theory to practice. Coverage includes: Structural systems and elements Design considerations Tension members Design of columns AISC design requirements Design of beams Torsion Stress analysis and design considerations Beam-columns Connections Plate girders Intermediate transverse and bearing stiffeners

Microlithography

Microlithography Pdf/ePub eBook Author: Bruce W. Smith,Kazuaki Suzuki
Editor: CRC Press
ISBN: 1439876762
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Microlithography by Bruce W. Smith,Kazuaki Suzuki Summary

The completely revised Third Edition to the bestselling Microlithography: Science and Technology provides a balanced treatment of theoretical and operational considerations, from fundamental principles to advanced topics of nanoscale lithography. The book is divided into chapters covering all important aspects related to the imaging, materials, and processes that have been necessary to drive semiconductor lithography toward nanometer-scale generations. Renowned experts from the world’s leading academic and industrial organizations have provided in-depth coverage of the technologies involved in optical, deep-ultraviolet (DUV), immersion, multiple patterning, extreme ultraviolet (EUV), maskless, nanoimprint, and directed self-assembly lithography, together with comprehensive descriptions of the advanced materials and processes involved. New in the Third Edition In addition to the full revision of existing chapters, this new Third Edition features coverage of the technologies that have emerged over the past several years, including multiple patterning lithography, design for manufacturing, design process technology co-optimization, maskless lithography, and directed self-assembly. New advances in lithography modeling are covered as well as fully updated information detailing the new technologies, systems, materials, and processes for optical UV, DUV, immersion, and EUV lithography. The Third Edition of Microlithography: Science and Technology authoritatively covers the science and engineering involved in the latest generations of microlithography and looks ahead to the future systems and technologies that will bring the next generations to fruition. Loaded with illustrations, equations, tables, and time-saving references to the most current technology, this book is the most comprehensive and reliable source for anyone, from student to seasoned professional, looking to better understand the complex world of microlithography science and technology.

Uniting Electron Crystallography and Powder Diffraction

Uniting Electron Crystallography and Powder Diffraction Pdf/ePub eBook Author: Ute Kolb,Kenneth Shankland,Louisa Meshi,Anatoly Avilov,William I.F David
Editor: Springer
ISBN: 9400755805
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Uniting Electron Crystallography and Powder Diffraction by Ute Kolb,Kenneth Shankland,Louisa Meshi,Anatoly Avilov,William I.F David Summary

The polycrystalline and nanocrystalline states play an increasingly important role in exploiting the properties of materials, encompassing applications as diverse as pharmaceuticals, catalysts, solar cells and energy storage. A knowledge of the three-dimensional atomic and molecular structure of materials is essential for understanding and controlling their properties, yet traditional single-crystal X-ray diffraction methods lose their power when only polycrystalline and nanocrystalline samples are available. It is here that powder diffraction and single-crystal electron diffraction techniques take over, substantially extending the range of applicability of the crystallographic principles of structure determination. This volume, a collection of teaching contributions presented at the Crystallographic Course in Erice in 2011, clearly describes the fundamentals and the state-of-the-art of powder diffraction and electron diffraction methods in materials characterisation, encompassing a diverse range of disciplines and materials stretching from archeometry to zeolites. As such, it is a comprehensive and valuable resource for those wishing to gain an understanding of the broad applicability of these two rapidly developing fields.

Nuclear Magnetic Resonance

Nuclear Magnetic Resonance Pdf/ePub eBook Author: Jacek Wojcik,Krystyna Kamienska-Trela
Editor: Royal Society of Chemistry
ISBN: 1849737673
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Nuclear Magnetic Resonance by Jacek Wojcik,Krystyna Kamienska-Trela Summary

With over 17,000 articles concerning NMR published per year, keeping up to date with the latest developments and applications of this technique can prove time-consuming. Now in its 42nd volume, the Specialist Periodical Report on NMR provides a digest of the current literature, compiled by experts in the field. The current volume devotes several chapters to the aspects and applications of spin-spin couplings, and biochemists will find seperate chapters dedicated to proteins, lipids and carbohydrates. Further chapters discuss the latest developments in nuclear sheilding, imaging and NMR in living systems. For a comprehensive account of the latest developments and research using NMR, look no further than Specialist Periodical Reports - Nuclear Magnetic Resonance. An essential book for NMR lab and university shelf.

International Handbook of Earthquake & Engineering Seismology

International Handbook of Earthquake & Engineering Seismology Pdf/ePub eBook Author: William H.K. Lee,Hiroo Kanamori,Paul Jennings,Carl Kisslinger
Editor: Elsevier
ISBN: 9780080489230
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International Handbook of Earthquake & Engineering Seismology by William H.K. Lee,Hiroo Kanamori,Paul Jennings,Carl Kisslinger Summary

The two volume International Handbook of Earthquake and Engineering Seismology represents the International Association of Seismology and Physics of the Earth's Interior's (IASPEI) ambition to provide a comprehensive overview of our present knowledge of earthquakes and seismology. This state-of-the-art work is the only reference to cover all aspects of seismology--a "resource library" for civil and structural engineers, geologists, geophysicists, and seismologists in academia and industry around the globe. Part B, by more than 100 leading researchers from major institutions of science around the globe, features 34 chapters detailing strong-motion seismology, earthquake engineering, quake prediction and hazards mitigation, as well as detailed reports from more than 40 nations. Also available is The International Handbook of Earthquake and Engineering Seismology, Part A. Authoritative articles by more than 100 leading scientists Extensive glossary of terminology plus 2000+ biographical sketches of notable seismologists

Central Bank Regulation and the Financial Crisis

Central Bank Regulation and the Financial Crisis Pdf/ePub eBook Author: Miao Han
Editor: Springer
ISBN: 1137563087
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Central Bank Regulation and the Financial Crisis by Miao Han Summary

The respective legal frameworks that control central banks are shaped by whether they are market oriented or government controlled. However such stark distinction between these two categories has been challenged in view of the varying styles of crisis management demonstrated by different central banks during the crisis. This book uses comparative analysis to investigate how the global financial crisis challenged the role played by central banks in maintaining financial stability. Focusing on four central banks including the US Federal Reserve System, the Bank of England, the Bank of Japan and the People's Bank of China, it illustrates the similarities between the banks prior to the crisis, and their similar policy responses in the wake of the crisis. It demonstrates how each operated with varying levels of independence while performing very differently and facing different tasks. The book identifies some central explanatory variables for this behavior, addressing the mismatch of similar risk management solutions and varying outcomes. Central Bank Regulation and The Financial Crisis: A Comparative Analysis explores the legal challenges within central bank regulation presented by the global financial crisis. It emphasizes the importance of, and the limitations involved in, legal order and argue that in spite of integration and globalization, significant differences exist in central banks' approaches to risk management and financial stability.

Blended Learning Designs in STEM Higher Education

Blended Learning Designs in STEM Higher Education Pdf/ePub eBook Author: Christopher N. Allan,Chris Campbell,Julie Crough
Editor: Springer
ISBN: 9811369828
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Blended Learning Designs in STEM Higher Education by Christopher N. Allan,Chris Campbell,Julie Crough Summary

This book offers a set of learning principles to support the design of rich learning experiences in Science, Technology, Engineering and Mathematics (STEM) higher education, including detailed evaluations and discussions for a variety of science subjects. Further, it presents a professional learning framework that can be used to support the implementation of blended learning technologies to increase buy-in from academic staff, to support grass roots initiatives, to develop a sense of community, and to sustain change. The principles developed here will help readers to think about blended learning from a learner’s perspective, put learning first, and develop activities that will help learners achieve better learning outcomes. In addition, the book addresses how to design rich, evidence-based, blended learning experiences that support learning. It demonstrates a range of learning principles in practice, with step-by-step instructions, and includes templates, supporting material, instructions and other resources to help teachers embed and adapt designs in their own subject. Readers will be equipped with an expanded toolkit of resources, designs, ideas and activities that can be directly applied in a variety of subject areas.