- Table View
- List View
Financial Literacy Education: Addressing Student, Business, and Government Needs
by Jay LiebowitzToday's graduates should be grounded in the basics of personal finance and possess the skills and knowledge necessary to make informed decisions and take responsibility for their own financial well-being. Faced with an array of complex financial services and sophisticated products, many graduates lack the knowledge and skills to make rational, informed decisions on the use of their money and planning for future events, such as retirement.This book shows what you can do to improve financial literacy awareness and education. It covers the use of interactive games and tutorials, peer-to-peer mentoring, and financial literacy contests in addition to more formal education. It gives you a sample of approaches and experiences in the financial literacy arena. Divided into three parts, the book covers financial literacy education for grades K–12, college, and post-college.
Financial Modeling
by Stéphane CrépeyBackward stochastic differential equations (BSDEs) provide a general mathematical framework for solving pricing and risk management questions of financial derivatives. They are of growing importance for nonlinear pricing problems such as CVA computations that have been developed since the crisis. Although BSDEs are well known to academics, they are less familiar to practitioners in the financial industry. In order to fill this gap, this book revisits financial modeling and computational finance from a BSDE perspective, presenting a unified view of the pricing and hedging theory across all asset classes. It also contains a review of quantitative finance tools, including Fourier techniques, Monte Carlo methods, finite differences and model calibration schemes. With a view to use in graduate courses in computational finance and financial modeling, corrected problem sets and Matlab sheets have been provided. Stéphane Crépey's book starts with a few chapters on classical stochastic processes material, and then... fasten your seatbelt... the author starts traveling backwards in time through backward stochastic differential equations (BSDEs). This does not mean that one has to read the book backwards, like a manga! Rather, the possibility to move backwards in time, even if from a variety of final scenarios following a probability law, opens a multitude of possibilities for all those pricing problems whose solution is not a straightforward expectation. For example, this allows for framing problems like pricing with credit and funding costs in a rigorous mathematical setup. This is, as far as I know, the first book written for several levels of audiences, with applications to financial modeling and using BSDEs as one of the main tools, and as the song says: "it's never as good as the first time". Damiano Brigo, Chair of Mathematical Finance, Imperial College London While the classical theory of arbitrage free pricing has matured, and is now well understood and used by the finance industry, the theory of BSDEs continues to enjoy a rapid growth and remains a domain restricted to academic researchers and a handful of practitioners. Crépey's book presents this novel approach to a wider community of researchers involved in mathematical modeling in finance. It is clearly an essential reference for anyone interested in the latest developments in financial mathematics. Marek Musiela, Deputy Director of the Oxford-Man Institute of Quantitative Finance
Financial Modeling
by Joachim Häcker Dietmar ErnstNachvollziehbare Modelle zur Beurteilung komplexer Finanzprodukte. Die Autoren bieten Studenten einen anwendungsorientierten Leitfaden zu den zentralen Themenkomplexen Corporate Finance, Derivate und Portfoliomanagement. Zwei Workshops zu Microsoft Excel(r) und der Programmiersprache VBA(r) komplettieren das finanzwirtschaftliche Know-how. Der Kurscharakter des Buches und die praxisnahen Beispiele, die zusatzlich als Download-Angebot zur Verfugung stehen, ermoglichen ein schnelles und interaktives Lernen. Als Nachschlagewerk leistet der Band auch Praktikern wertvolle Dienste. "
Financial Modeling (3rd Edition)
by Simon BenningaToo often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. Financial Modeling bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial models with spreadsheets. Simon Benninga takes the reader step by step through each model, showing how it can be solved using Microsoft Excel. The long-awaited third edition of this standard text maintains the "cookbook" features and Excel dependence that have made the first and second editions so popular. It also offers significant new material, with new chapters covering such topics as bank valuation, the Black-Litterman approach to portfolio optimization, Monte Carlo methods and their applications to option pricing, and using array functions and formulas. Other chapters, including those on basic financial calculations, portfolio models, calculating the variance-covariance matrix,and generating random numbers, have been revised, with many offering substantially new and improved material. Other areas covered include financial statement modeling, leasing, standard portfolio problems, value at risk (VaR), real options, duration and immunization, and term structure modeling. Technical chapters treat such topics as data tables, matrices, the Gauss-Seidel method, and tips for using Excel. The last section of the text covers the Visual Basic for Applications (VBA) techniques needed for the book. The accompanying CD contains Excel worksheets and solutions to end-of-chapter exercises.
Financial Modeling for Business Owners and Entrepreneurs
by Tom Y. SawyerFinancial Modeling for Business Owners and Entrepreneurs: Developing Excel Models to Raise Capital, Increase Cash Flow, Improve Operations, Plan Projects, and Make Decisions may be one of the most important books any entrepreneur or manager in a small or medium-sized enterprise will read. It combines logical business principles and strategies with a step-by-step methodology for planning and modeling a company and solving specific business problems. You'll learn to create operational and financial models in Excel that describe the workings of your company in quantitative terms and that make it far more likely you will avoid the traps and dead ends many businesses fall into. Serial entrepreneur and financial expert Tom Y. Sawyer shows how to break your company down into basic functional and operational components that can be modeled. The result is a financial model that, for example, you can literally take to the bank or bring to local angel investors to receive the funding you need to launch your business or a new product. Or it might be a model that shows with startling clarity that your new product development effort is a likely winner--or loser. Even better, you'll learn to create models that will serve as guideposts for ongoing operations. You'll always know just where you are financially, and where you need to be. The models you will learn to build in Financial Modeling for Business Owners and Entrepreneurs can be used to: Raise capital for startup or any stage of growthPlan projects and new initiativesMake astute business decisions, including go/no-go assessmentsAnalyze ROI on your product development and marketing expendituresStreamline operations, manage budgets, improve efficiency, and reduce costsValue the business when it is time to cash out or mergeIn addition to many valuable exercises and tips for using Excel to model your business, this book contains a combination of practical advice born of hard-won lessons, advanced strategic thought, and the insightful use of hard skills. With a basic knowledge of Excel assumed, it will help you learn to think like an experienced business person who expects to make money on the products or services offered to the public. You'll discover that the financial model is a key management tool that, if built correctly, provides invaluable assistance every step of the entrepreneurial journey. Tom Y. Sawyer has used the principles this book contains to create financial models of numerous startup and early-stage companies, assisting them in planning for and raising the capital that they needed to grow their businesses and ultimately exit with multiples of their initial investment. Financial Modeling for Business Owners and Entrepreneurs, a mini-MBA in entrepreneurship and finance, will show you how you can do the same. Note: This book is an updated version of Sawyer's 2009 title, Pro Excel Financial Modeling.
Financial Modeling in Excel For Dummies
by Danielle Stein FairhurstTurn your financial data into insightful decisions with this straightforward guide to financial modeling with Excel Interested in learning how to build practical financial models and forecasts but concerned that you don’t have the math skills or technical know-how? We’ve got you covered! Financial decision-making has never been easier than with Financial Modeling in Excel For Dummies. Whether you work at a mom-and-pop retail store or a multinational corporation, you can learn how to build budgets, project your profits into the future, model capital depreciation, value your assets, and more. You’ll learn by doing as this book walks you through practical, hands-on exercises to help you build powerful models using just a regular version of Excel, which you’ve probably already got on your PC. You’ll also: Master the tools and strategies that help you draw insights from numbers and data you’ve already got Build a successful financial model from scratch, or work with and modify an existing one to your liking Create new and unexpected business strategies with the ideas and conclusions you generate with scenario analysis Don’t go buying specialized software or hiring that expensive consultant when you don’t need either one. If you’ve got this book and a working version of Microsoft Excel, you’ve got all the tools you need to build sophisticated and useful financial models in no time!
Financial Modelling and Asset Valuation with Excel
by Morten Helbæk Ragnar Løvaas Jon Olav MjølhusFinance is Excel! This book takes you straight into the fascinating world of Excel, the powerful tool for number crunching. In a clear cut language it amalgamates financial theory with Excel providing you with the skills you need to build financial models for private or professional use. A comprehensive knowledge of modeling in Excel is becoming increasingly important in a competitive labour market. The chapters in part one start with the most basic Excel topics such as cell addresses, workbooks, basic formulas, etc. These chapters get more advanced through part one, and takes you in the end to topics such as array formulas, data tables, pivot tables, etc. The other parts of the book discusses a variety of subjects such as net present value, internal rate of return, risk, portfolio theory, CAPM, VaR, project valuation, asset valuation, firm valuation, loan, leasing, stocks, bonds, options, simulation, sensitivity analysis, etc.
Financial Models in Production (SpringerBriefs in Finance)
by Othmane Kettani Adil ReghaiThis book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes. It shows how to put these models into use in production while minimizing the cost of implementation and maximizing robustness and control. Addressing some of the most important and cutting-edge issues, it describes how to build the necessary models in order to risk manage all the costs involved in options fabrication within the world of equity derivatives and hybrids. This is achieved by extending classical models and improving them in order to account for complex features. The book is primarily aimed at market practitioners (traders, risk managers, risk control, top managers), as well as Masters students in Quantitative/Mathematical Finance. It will also be useful for instructors hoping to enrich their courses with practical examples. The prerequisites are basic stochastic calculus and a general knowledge of financial markets and financial derivatives.
Financial Services Information Systems
by Jessica KeyesThe calculus of IT support for the banking, securities, and insurance industries has changed dramatically and rapidly over the past few years. Consolidation and deregulation are creating opportunities and challenges never before seen. Unheard of just a few years ago, e-commerce has given birth to new infrastructures and departments needed to suppor
Financial Services Marketing: A Guide to Principles and Practice
by Christine Ennew Nigel Waite Róisín WaiteThis fourth edition of Financial Services Marketing firmly reinforces the book’s role as a leading global educational resource, combining appropriate conceptual principles with practical insights on how financial products and services are marketed in the real world. The authors draw upon their extensive international experience marketing some of the world’s best known financial brands including Lloyds TSB and Barclays. Readers will gain a firm understanding of how financial products and services work within the commercial, social, economic, governmental, regulatory and environmental context in which they operate.This fully updated and revised edition features: A brand-new chapter devoted to environmental, social and corporate governance Revised coverage of the impact of digital advances in all aspects of business models and marketing practice, including how artificial intelligence (AI) and social marketing are changing financial services and customer experience The latest regulatory developments for safeguarding the fair treatment of customers New and improved case studies that showcase best practice from around the world Upgraded Support Material including new teaching aids and references Financial Services Marketing is essential reading for advanced undergraduate and postgraduate students studying Marketing for Financial Services, Marketing Strategy and Consumer Ethics in Finance. It is also suitable for executive students studying for professional qualifications and executive MBAs.
Financial Software Engineering (Undergraduate Topics in Computer Science)
by Kevin Lano Howard HaughtonIn this textbook the authors introduce the important concepts of the financial software domain, and motivate the use of an agile software engineering approach for the development of financial software. They describe the role of software in defining financial models and in computing results from these models. Practical examples from bond pricing, yield curve estimation, share price analysis and valuation of derivative securities are given to illustrate the process of financial software engineering.Financial Software Engineering also includes a number of case studies based on typical financial engineering problems:*Internal rate of return calculation for bonds* Macaulay duration calculation for bonds* Bootstrapping of interest rates* Estimation of share price volatility* Technical analysis of share prices* Re-engineering Matlab to C#* Yield curve estimation* Derivative security pricing* Risk analysis of CDOs The book is suitable for undergraduate and postgraduate study, and for practitioners who wish to extend their knowledge of software engineering techniques for financial applications
Financial Technology: Proceedings of The International Conference on Business and Technology (ICBT 2021) (Lecture Notes in Networks and Systems #486)
by Allam Hamdan Bahaaeddin AlareeniThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers were selected for inclusion in the conference proceedings from forty countries. Each of these chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.The book highlights a range of topics in the fields of technology, entrepreneurship, business administration, accounting, and economics that can contribute to business development in countries, such as learning machines, artificial intelligence, big data, deep learning, game-based learning, management information system, accounting information system, knowledge management, entrepreneurship, and social enterprise, corporate social responsibility and sustainability, business policy and strategic management, international management and organizations, organizational behavior and HRM, operations management and logistics research, controversial issues in management and organizations, turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm governance, managerial accounting and firm financial affairs, non-traditional research, and creative methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.
Financial Theory with Python: A Gentle Introduction
by Yves HilpischNowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, this practical guide teaches you the basics of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.Draw upon mathematics to learn the foundations of financial theory and Python programmingLearn about financial theory, financial data modeling, and the use of Python for computational financeLeverage simple economic models to better understand basic notions of finance and Python programming conceptsUse both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision-making, equilibrium, and asset allocationLearn the basics of Python packages useful for financial modeling, such as NumPy, pandas, Matplotlib, and SymPy
Financially Forward: How to Use Today's Digital Tools to Earn More, Save Better, and Spend Smarter
by Alexa von TobelChief digital officer at Northwestern Mutual, founder/CEO of LearnVest, and New York Times bestelling author shows how to use the simple tools of the digital age to get more out of our money.We live in a new financial world. Our wallets--like every other aspect of our lives--have gone fully digital. From mobile pay to on-demand everything to cryptocurrencies, technology is rewriting the rules for how we earn, save, spend and invest. Technology has made virtually every aspect of our lives cheaper and more convenient. Shouldn't it do the same when it comes to managing our finances?Von Tobel says that it can. In this straightforward and jargon-free guide, she shows us how to use the simple tools found on any smartphone to put more money back into our wallets. Readers will learn: Six new trends that are impacting our finances - and how to optimize them How to navigate the world of mobile pay, and cash in by going cash-free How to save time and money by putting your savings--and spending--on autopilot Best practices for keeping your identity and financial accounts ultra-secure How to talk to digital natives - ie your kids - about financial planning What the Bitcoin hype is all about and how to prepare for the future of digital moneyPreparing ourselves for the financial future gives us the security and freedom to live our richest lives. It's time to move Financially Forward...or get left behind.
Find The Girl
by Lucy Connell Lydia ConnellThe perfect summer read for fans of Girl Online and Rainbow Rowell! ----- Falling for your best friend's love interest is bad...Falling for your twin's is catastrophic.As kids, Nina and Nancy were inseparable. As teenagers, not so much...Where Nancy is popular, an Instagram star, and obsessed with boy band heartthrob Chase, Nina is shy; a talented classical musician, and shuns the spotlight that her sister thrives in.But when the wrong twin unwittingly ends up at the centre of a romantic social media storm, the bonds of twin-ship will be tested like never before... Written in collaboration with Katy Birchall, #FINDTHEGIRL is a very modern twist on a Cinderella story.
Find The Girl: All That Glitters
by Lucy ConnellNancy Palmer used to be Insta-famous and her twin Nina used to shy away from everyone. Things can change pretty quickly. Nina has been accepted onto a Guildhall music course and is famous because of her pop star boyfriend, Chase. Nancy is trying to put her name on the map by becoming a music journalist and is not getting distracted by Chase's hot bandmate Miles. When their estranged dad shows up out of the blue and shows an interest in Nina's budding music career, Nancy isn't sure he's just there to make amends. As they attempt to find their way through new challenges, they both have to remember that you have to pave your own path to success and sometimes fame comes at a price.
Finding Communities in Social Networks Using Graph Embeddings (Lecture Notes in Social Networks)
by David B. Skillicorn Mosab AlfaqeehCommunity detection in social networks is an important but challenging problem. This book develops a new technique for finding communities that uses both structural similarity and attribute similarity simultaneously, weighting them in a principled way. The results outperform existing techniques across a wide range of measures, and so advance the state of the art in community detection. Many existing community detection techniques base similarity on either the structural connections among social-network users, or on the overlap among the attributes of each user. Either way loses useful information. There have been some attempts to use both structure and attribute similarity but success has been limited. We first build a large real-world dataset by crawling Instagram, producing a large set of user profiles. We then compute the similarity between pairs of users based on four qualitatively different profile properties: similarity of language used in posts, similarity of hashtags used (which requires extraction of content from them), similarity of images displayed (which requires extraction of what each image is 'about'), and the explicit connections when one user follows another. These single modality similarities are converted into graphs. These graphs have a common node set (the users) but different sets a weighted edges. These graphs are then connected into a single larger graph by connecting the multiple nodes representing the same user by a clique, with edge weights derived from a lazy random walk view of the single graphs. This larger graph can then be embedded in a geometry using spectral techniques. In the embedding, distance corresponds to dissimilarity so geometric clustering techniques can be used to find communities. The resulting communities are evaluated using the entire range of current techniques, outperforming all of them. Topic modelling is also applied to clusters to show that they genuinely represent users with similar interests. This can form the basis for applications such as online marketing, or key influence selection.
Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python
by Kevin FeaselDiscover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types. The book starts with an overview of what anomalies and outliers are and uses the Gestalt school of psychology to explain just why it is that humans are naturally great at detecting anomalies. From there, you will move into technical definitions of anomalies, moving beyond "I know it when I see it" to defining things in a way that computers can understand.The core of the book involves building a robust, deployable anomaly detection service in Python. You will start with a simple anomaly detection service, which will expand over the course of the book to include a variety of valuable anomaly detection techniques, covering descriptive statistics, clustering, and time series scenarios. Finally, you will compare your anomaly detection service head-to-head with a publicly available cloud offering and see how they perform.The anomaly detection techniques and examples in this book combine psychology, statistics, mathematics, and Python programming in a way that is easily accessible to software developers. They give you an understanding of what anomalies are and why you are naturally a gifted anomaly detector. Then, they help you to translate your human techniques into algorithms that can be used to program computers to automate the process. You’ll develop your own anomaly detection service, extend it using a variety of techniques such as including clustering techniques for multivariate analysis and time series techniques for observing data over time, and compare your service head-on against a commercial service.What You Will LearnUnderstand the intuition behind anomaliesConvert your intuition into technical descriptions of anomalous dataDetect anomalies using statistical tools, such as distributions, variance and standard deviation, robust statistics, and interquartile rangeApply state-of-the-art anomaly detection techniques in the realms of clustering and time series analysisWork with common Python packages for outlier detection and time series analysis, such as scikit-learn, PyOD, and tslearnDevelop a project from the ground up which finds anomalies in data, starting with simple arrays of numeric data and expanding to include multivariate inputs and even time series dataWho This Book Is ForFor software developers with at least some familiarity with the Python programming language, and who would like to understand the science and some of the statistics behind anomaly detection techniques. Readers are not required to have any formal knowledge of statistics as the book introduces relevant concepts along the way.
Finding New Ways to Engage and Satisfy Global Customers: Proceedings of the 2018 Academy of Marketing Science (AMS) World Marketing Congress (WMC) (Developments in Marketing Science: Proceedings of the Academy of Marketing Science)
by Patricia Rossi Nina KreyThis proceedings volume explores the new and innovative ways in which marketers find new global customers and build meaningful bridges to them based on their wants and needs in order to ensure high levels of customer satisfaction. Customer loyalty is ensured through continuous engagement with an ever-changing and demanding customer base. Global forces are bringing cultures into collision, creating new challenges for firms wanting to reach geographically and culturally distant markets, and causing marketing managers to rethink how to build meaningful and stable relationships with evermore demanding customers. In an era of vast new data sources and a need for innovative analytics, the challenge for the marketer is to reach customers in new and powerful ways. Featuring the full proceedings from the 2018 Academy of Marketing Science (AMS) World Marketing Congress (WMC) held in Porto, Portugal, this volume provides current and emerging research from global scholars and practitioners that will help marketers to engage and promote customer satisfaction. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses, and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complementing the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.
Finding Ruby Starling
by Karen RiversThe Parent Trap comes to the digital age in this delightful new novel by the author of The Encyclopedia of Me.When Ruth Quayle used a special app to search for pictures of herself online, she found dozens of images of "Ruth Quayle" -- and one of "Ruby Starling."When Ruby Starling gets a message from a Ruth Quayle proclaiming them to be long-lost twin sisters, she doesn't know what to do with it -- until another message arrives the day after, and another one. It could be a crazy stalker ... but she and this Ruth do share a birthday, and a very distinctive ear....Ruth is an extroverted American girl. Ruby is a shy English one. As they investigate the truth of their birth and the circumstances of their separation, they also share lives full of friends, family, and possible romances -- and they realize they each may be the sister the other never knew she needed.Written entirely in e-mails, letters, Tumblr entries, and movie scripts, Finding Ruby Starling is the funny and poignant companion to Karen Rivers's The Encyclopedia of Me.
Finding Source Code on the Web for Remix and Reuse
by Susan Elliott Sim Rosalva E. Gallardo-ValenciaIn recent years, searching for source code on the web has become increasingly common among professional software developers and is emerging as an area of academic research. This volume surveys past research and presents the state of the art in the area of "code retrieval on the web." This work is concerned with the algorithms, systems, and tools to allow programmers to search for source code on the web and the empirical studies of these inventions and practices. It is a label that we apply to a set of related research from software engineering, information retrieval, human-computer interaction, management, as well as commercial products. The division of code retrieval on the web into snippet remixing and component reuse is driven both by empirical data, and analysis of existing search engines and tools. Contributors include leading researchers from human-computer interaction, software engineering, programming languages, and management. "Finding Source Code on the Web for Remix and Reuse" consists of five parts. Part I is titled "Programmers and Practices," and consists of a retrospective chapter and two empirical studies on how programmers search the web for source code. Part II is titled "From Data Structures to Infrastructures," and covers the creation of ground-breaking search engines for code retrieval required ingenuity in the adaptation of existing technology and in the creation of new algorithms and data structures. Part III focuses on "Reuse: Components and Projects," which are reused with minimal modification. Part IV is on "Remix: Snippets and Answers," which examines how source code from the web can also be used as solutions to problems and answers to questions. The book concludes with Part V, "Looking Ahead," that looks at future programming and the legalities of software reuse and remix and the implications of current intellectual property law on the future of software development. The story, "Richie Boss: Private Investigator Manager," was selected as the winner of a crowdfunded short story contest."
Finding Stevie
by Cathy GlassFinding Stevie is a dark and poignant true story that highlights the dangers lurking on online. <p><p> When Stevie's social worker tells Cathy, an experienced foster carer, that Stevie, 14, is gender fluid she isn't sure what that term means and looks it up. <p> Stevie, together with his younger brother and sister, have been brought up by their grandparents as their mother is in prison. But the grandparents can no longer cope with Stevie's behaviour so they place him in care. <p> Stevie is exploring his gender identity, and like many young people he spends time online. Cathy warns him about the dangers of talking to strangers online and advises him how to stay safe. When his younger siblings tell their grandmother that they have a secret they can't tell, Cathy is worried. However, nothing could have prepared her for the truth when Stevie finally breaks down and confesses what he's done.
Finding the Limits of the Limes: Modelling Demography, Economy and Transport on the Edge of the Roman Empire (Computational Social Sciences)
by Philip Verhagen Jamie Joyce Mark R. GroenhuijzenThis open access book demonstrates the application of simulation modelling and network analysis techniques in the field of Roman studies. It summarizes and discusses the results of a 5-year research project carried out by the editors that aimed to apply spatial dynamical modelling to reconstruct and understand the socio-economic development of the Dutch part of the Roman frontier (limes) zone, in particular the agrarian economy and the related development of settlement patterns and transport networks in the area. The project papers are accompanied by invited chapters presenting case studies and reflections from other parts of the Roman Empire focusing on the themes of subsistence economy, demography, transport and mobility, and socio-economic networks in the Roman period.The book shows the added value of state-of-the-art computer modelling techniques and bridges computational and conventional approaches. Topics that will be of particular interest to archaeologists are the question of (forced) surplus production, the demographic and economic effects of the Roman occupation on the local population, and the structuring of transport networks and settlement patterns. For modellers, issues of sensitivity analysis and validation of modelling results are specifically addressed. This book will appeal to students and researchers working in the computational humanities and social sciences, in particular, archaeology and ancient history.
Finding Your Online Voice: Stories Told by Experienced Online Educators
by J. Michael SpectorFinding Your Online Voice offers a thought-provoking discussion of innovative approaches to technology-based distance education. Editor J. Michael Spector focuses on how highly experienced teachers conceptualize and organize online classes. Best practices and guidelines for effective online teaching as well as a set of instructor skills speci
Finding Your Voice in Radio, Audio, and Podcast Production
by Rob QuickeThis book provides a unique identity-centered approach to radio, audio, and podcast production which encourages readers to build their confidence and create audio content that matters to them. Written for those just starting out in audio production and focusing on the process of their self-development, readers will learn how to use sound to express themselves in a variety of ways and to create powerful stories in the process – all with the tools already available to them. At the centre of this approach is the author’s R.E.A.L. method, referring to the creation of audio that is relatable, engaging, authentic, and liberating. Students will learn to apply this concept to each step of the production process, from planning and writing through to interviewing, broadcasting, and responding to feedback. By the end of this book readers will have developed a working knowledge of podcast, audio, and radio production alongside their own means of self-expression. Supported by exercises and interviews with audio practitioners throughout, Finding Your Voice in Radio, Audio, and Podcast Production is a key resource for anyone approaching radio, audio, or podcasting for the first time. A supporting companion website with Instructor and Student Resources is available at www.robquicke.com.