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| computer science and finance degree: Python for Finance Yves J. Hilpisch, 2018-12-05 The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks. |
| computer science and finance degree: Computational Finance Argimiro Arratia, 2014-05-08 The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R. Thus, the first chapter gives an introduction to the Principles of Corporate Finance: the markets of stock and options, valuation and economic theory, framed within Computation and Information Theory (e.g. the famous Efficient Market Hypothesis is stated in terms of computational complexity, a new perspective). Chapters 2 and 3 give the necessary tools of Statistics for analyzing financial time series, it also goes in depth into the concepts of correlation, causality and clustering. Chapters 4 and 5 review the most important discrete and continuous models for financial time series. Each model is provided with an example program in R. Chapter 6 covers the essentials of Technical Analysis (TA) and Fundamental Analysis. This chapter is suitable for people outside academics and into the world of financial investments, as a primer in the methods of charting and analysis of value for stocks, as it is done in the financial industry. Moreover, a mathematical foundation to the seemly ad-hoc methods of TA is given, and this is new in a presentation of TA. Chapter 7 reviews the most important heuristics for optimization: simulated annealing, genetic programming, and ant colonies (swarm intelligence) which is material to feed the computer savvy readers. Chapter 8 gives the basic principles of portfolio management, through the mean-variance model, and optimization under different constraints which is a topic of current research in computation, due to its complexity. One important aspect of this chapter is that it teaches how to use the powerful tools for portfolio analysis from the RMetrics R-package. Chapter 9 is a natural continuation of chapter 8 into the new area of research of online portfolio selection. The basic model of the universal portfolio of Cover and approximate methods to compute are also described. |
| computer science and finance degree: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer science and finance degree: The Ultimate Algorithmic Trading System Toolbox + Website George Pruitt, 2016-06-20 The accessible, beneficial guide to developing algorithmic trading solutions The Ultimate Algorithmic Trading System Toolbox is the complete package savvy investors have been looking for. An integration of explanation and tutorial, this guide takes you from utter novice to out-the-door trading solution as you learn the tools and techniques of the trade. You'll explore the broad spectrum of today's technological offerings, and use several to develop trading ideas using the provided source code and the author's own library, and get practical advice on popular software packages including TradeStation, TradersStudio, MultiCharts, Excel, and more. You'll stop making repetitive mistakes as you learn to recognize which paths you should not go down, and you'll discover that you don't need to be a programmer to take advantage of the latest technology. The companion website provides up-to-date TradeStation code, Excel spreadsheets, and instructional video, and gives you access to the author himself to help you interpret and implement the included algorithms. Algorithmic system trading isn't really all that new, but the technology that lets you program, evaluate, and implement trading ideas is rapidly evolving. This book helps you take advantage of these new capabilities to develop the trading solution you've been looking for. Exploit trading technology without a computer science degree Evaluate different trading systems' strengths and weaknesses Stop making the same trading mistakes over and over again Develop a complete trading solution using provided source code and libraries New technology has enabled the average trader to easily implement their ideas at very low cost, breathing new life into systems that were once not viable. If you're ready to take advantage of the new trading environment but don't know where to start, The Ultimate Algorithmic Trading System Toolbox will help you get on board quickly and easily. |
| computer science and finance degree: The 2009 What Color is Your Parachute? Richard Nelson Bolles, 2009 A guide to discovering personal goals and interests explains how to apply that information toward obtaining satisfying employment |
| computer science and finance degree: Data Science and Intelligent Systems Radek Silhavy, Petr Silhavy, Zdenka Prokopova, 2021-11-16 This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results |
| computer science and finance degree: Differential Equations and Numerical Analysis Valarmathi Sigamani, John J. H. Miller, Ramanujam Narasimhan, Paramasivam Mathiazhagan, Franklin Victor, 2016-08-18 This book offers an ideal introduction to singular perturbation problems, and a valuable guide for researchers in the field of differential equations. It also includes chapters on new contributions to both fields: differential equations and singular perturbation problems. Written by experts who are active researchers in the related fields, the book serves as a comprehensive source of information on the underlying ideas in the construction of numerical methods to address different classes of problems with solutions of different behaviors, which will ultimately help researchers to design and assess numerical methods for solving new problems. All the chapters presented in the volume are complemented by illustrations in the form of tables and graphs. |
| computer science and finance degree: Professional Financial Computing Using Excel and VBA Donny C. F. Lai, Humphrey K. K. Tung, Michael C. S. Wong, 2011-12-28 Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a black-box software application. The book opens the black-box and reveals the architecture of risk-modeling and financial engineering based on industry-standard stochastic models by utilizing Excel and VBA functionality to create a robust and practical modeling tool-kit. Financial engineering professionals who purchase this book will have a jumpstart advantage for their customized financial engineering and modeling needs. Dr. Cameron Wicentowich Vice President, Treasury Analytics Canadian Imperial Bank of Commerce (CIBC) Spreadsheet modeling for finance has become a standard course in the curriculum of many Quantitative Finance programs since the Excel-based Visual Basic programming is now widely used in constructing optimal portfolios, pricing structured products and managing risks. Professional Financial Computing Using Excel and VBA is written by a unique team of finance, physics and computer academics and practitioners. It is a good reference for those who are studying for a Masters degree in Financial Engineering and Risk Management. It can also be useful for financial engineers to jump-start a project on designing structured products, modeling interest term structure or credit risks. Dr. Jin Zhang Director of Master of Finance Program and Associate Professor The University of Hong Kong Excel has been one of the most powerful tools for financial planning and computing over the last few years. Most users utilize a fraction of its capabilities. One of the reasons is the limited availability of books that cover the advanced features of Excel for Finance. Professional Financial Computing Using Excel and VBA goes the extra mile and deals with the Excel tools many professionals call for. This book is a must for professionals or students dealing with financial engineering, financial risk management, computational finance or mathematical finance. I loved the way the authors covered the material using real life, hands-on examples. Dr. Isaac Gottlieb Temple University Author, Next Generation Excel: Modeling in Excel for Analysts and MBAs |
| computer science and finance degree: Computational Finance and Its Applications II M. Costantino, C. A. Brebbia, 2006 Featuring papers from the Second International Conference on Computational Finance and its Applications, the text includes papers that encompass a wide range of topics such as risk management, derivatives pricing, credit risk, trading strategies, portfolio management and asset allocation, and market analysis. |
| computer science and finance degree: Computational Finance and Financial Econometrics Eric Zivot, 2017-01-15 This book presents mathematical, programming and statistical tools used in the real world analysis and modeling of financial data. The tools are used to model asset returns, measure risk, and construct optimized portfolios using the open source R programming language and Microsoft Excel. The author explains how to build probability models for asset returns, to apply statistical techniques to evaluate if asset returns are normally distributed, to use Monte Carlo simulation and bootstrapping techniques to evaluate statistical models, and to use optimization methods to construct efficient portfolios. |
| computer science and finance degree: Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering contains a wealth of information on colleges and universities that offer graduate work these exciting fields. The profiled institutions include those in the United States, Canada and abroad that are accredited by U.S. accrediting bodies. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| computer science and finance degree: Big Data Science in Finance Irene Aldridge, Marco Avellaneda, 2021-01-08 Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners. |
| computer science and finance degree: The New Rules of Work Alexandra Cavoulacos, Kathryn Minshew, 2017 In this definitive guide to the ever-changing modern workplace, Kathryn Minshew and Alexandra Cavoulacos, the co-founders of popular career website TheMuse.com, show how to play the game by the New Rules. The Muse is known for sharp, relevant, and get-to-the-point advice on how to figure out exactly what your values and your skills are and how they best play out in the marketplace. Now Kathryn and Alex have gathered all of that advice and more in The New Rules of Work. Through quick exercises and structured tips, the authors will guide you as you sort through your countless options; communicate who you are and why you are valuable; and stand out from the crowd. The New Rules of Work shows how to choose a perfect career path, land the best job, and wake up feeling excited to go to work every day-- whether you are starting out in your career, looking to move ahead, navigating a mid-career shift, or anywhere in between-- |
| computer science and finance degree: Wages in New York City , 1980-05 |
| computer science and finance degree: Security Informatics Christopher C. Yang, Michael Chau, Jau-Hwang Wang, Hsinchun Chen, 2010-01-08 Intelligence and Security Informatics (ISI) is defined as the study of the development and use of advanced information systems and technologies for national, international, and societal security-related applications. With the rise of global terrorism, the field has been given an increasing amount of attention from academic researchers, law enforcement, intelligent experts, information technology consultants and practitioners. SECURITY INFORMATICS is global in scope and perspective. Leading experts will be invited as contributing authors from the US, UK, Denmark, Israel, Singapore, Hong Kong, Taiwan, Europe, etc. It is the first systematic, archival volume treatment of the field and will cover the very latest advances in ISI research and practice. It is organized in four major subject areas: (1) Information and Systems Security, (2) Information Sharing and Analysis in Security Informatics, (3) Infrastructure Protection and Emergency Responses, and (4) National Security and Terrorism Informatics. |
| computer science and finance degree: So Good They Can't Ignore You Cal Newport, 2012-09-18 In an unorthodox approach, Georgetown University professor Cal Newport debunks the long-held belief that follow your passion is good advice, and sets out on a quest to discover the reality of how people end up loving their careers. Not only are pre-existing passions rare and have little to do with how most people end up loving their work, but a focus on passion over skill can be dangerous, leading to anxiety and chronic job hopping. Spending time with organic farmers, venture capitalists, screenwriters, freelance computer programmers, and others who admitted to deriving great satisfaction from their work, Newport uncovers the strategies they used and the pitfalls they avoided in developing their compelling careers. Cal reveals that matching your job to a pre-existing passion does not matter. Passion comes after you put in the hard work to become excellent at something valuable, not before. In other words, what you do for a living is much less important than how you do it. With a title taken from the comedian Steve Martin, who once said his advice for aspiring entertainers was to be so good they can't ignore you, Cal Newport's clearly written manifesto is mandatory reading for anyone fretting about what to do with their life, or frustrated by their current job situation and eager to find a fresh new way to take control of their livelihood. He provides an evidence-based blueprint for creating work you love, and will change the way you think about careers, happiness, and the crafting of a remarkable life. |
| computer science and finance degree: Flexibility in the Undergraduate Curriculum Charles Chester Cole, 1962 |
| computer science and finance degree: Cracking the PM Interview Gayle Laakmann McDowell, Jackie Bavaro, 2013 How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named PM (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important pitch. |
| computer science and finance degree: How to Start a Business Analyst Career Laura Brandenburg, 2015-01-02 You may be wondering if business analysis is the right career choice, debating if you have what it takes to be successful as a business analyst, or looking for tips to maximize your business analysis opportunities. With the average salary for a business analyst in the United States reaching above $90,000 per year, more talented, experienced professionals are pursuing business analysis careers than ever before. But the path is not clear cut. No degree will guarantee you will start in a business analyst role. What's more, few junior-level business analyst jobs exist. Yet every year professionals with experience in other occupations move directly into mid-level and even senior-level business analyst roles. My promise to you is that this book will help you find your best path forward into a business analyst career. More than that, you will know exactly what to do next to expand your business analysis opportunities. |
| computer science and finance degree: Optimized C++ Kurt Guntheroth, 2016-04-27 In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer—whether it’s a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, “Wow, that was fast. Who fixed something?” Locate performance hot spots using the profiler and software timers Learn to perform repeatable experiments to measure performance of code changes Optimize use of dynamically allocated variables Improve performance of hot loops and functions Speed up string handling functions Recognize efficient algorithms and optimization patterns Learn the strengths—and weaknesses—of C++ container classes View searching and sorting through an optimizer’s eye Make efficient use of C++ streaming I/O functions Use C++ thread-based concurrency features effectively |
| computer science and finance degree: Principles of Financial Engineering Robert Kosowski, Salih N. Neftci, 2014-11-26 Principles of Financial Engineering, Third Edition, is a highly acclaimed text on the fast-paced and complex subject of financial engineering. This updated edition describes the engineering elements of financial engineering instead of the mathematics underlying it. It shows how to use financial tools to accomplish a goal rather than describing the tools themselves. It lays emphasis on the engineering aspects of derivatives (how to create them) rather than their pricing (how they act) in relation to other instruments, the financial markets, and financial market practices. This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing. A solutions manual enhances the text by presenting additional cases and solutions to exercises. This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs. - The Third Edition presents three new chapters on financial engineering in commodity markets, financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles and how to incorporate counterparty risk into derivatives pricing, among other topics - Additions, clarifications, and illustrations throughout the volume show these instruments at work instead of explaining how they should act - The solutions manual enhances the text by presenting additional cases and solutions to exercises |
| computer science and finance degree: Learn Python 3 the Hard Way Zed A. Shaw, 2017-06-26 You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3 |
| computer science and finance degree: Information Systems for Global Financial Markets: Emerging Developments and Effects Yap, Alexander Y., 2011-11-30 This book offers focused research on the systems and technologies that provide intelligence and expertise to traders and investors and facilitate the agile ordering processes, networking, and regulation of global financial electronic markets--Provided by publisher. |
| computer science and finance degree: Artificial Intelligence And Beyond For Finance Marco Corazza, Rene Garcia, Faisal Shah Khan, Davide La Torre, Hatem Masri, 2024-07-26 We wrote this book to help financial experts and investors to understand the state of the art of artificial intelligence and machine learning in finance. But first, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate. Often this desire has had foundations in grand civilization-defining visions or economic needs, such as the Antikythera mechanism, circa 200 BCE. Considered to be the oldest known example of an analog computer, it is thought that the mechanism automated the prediction of the positions of the sun, the moon, and the planets to assist in navigation.No matter the specific industry or application, AI has become a new engine of growth. Both finance and banking have been leveraging AI technologies and algorithms, applying them to automate routine tasks, procedures and forecasting, thereby improving overall customer experience.The topics covered in this book make it an invaluable resource for academics, researchers, policymakers, and practitioners alike who want to understand how AI has affected the banking and financial industries and how it will continue to change them in the years to come. |
| computer science and finance degree: Data Structures and Algorithm Analysis in Java, Third Edition Clifford A. Shaffer, 2012-09-06 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language. |
| computer science and finance degree: Fundamental Concepts in Computer Science Erol Gelenbe, 2009 This book presents fundamental contributions to computer science as written and recounted by those who made the contributions themselves. As such, it is a highly original approach to a OC living historyOCO of the field of computer science. The scope of the book is broad in that it covers all aspects of computer science, going from the theory of computation, the theory of programming, and the theory of computer system performance, all the way to computer hardware and to major numerical applications of computers. |
| computer science and finance degree: Brain Drain Junaimah Binti Jauhar, Ahmad Bashawir Abdul Ghani, Rabiul Islam, 2016-06-15 This book focuses on skilled labour migration from Malaysia to Singapore. In this regard, it examines a number of variables such as Better Perks and Benefits, Quality of Work Life, Ease of Immigration Procedures, International Exposure, Greater Job Availability, and Social Networks, and how they influence the decisions of Malaysian accounting professionals.In doing so, the book elaborates on how this phenomenon is an indirect result of globalization, which is predominantly detrimental for developing countries such as Malaysia. The book also highlights the need for these experts in their home country, as Malaysia is currently striving to improve its economy in order to achieve high-income status by 2020. |
| computer science and finance degree: Mathematics for Finance Marek Capinski, Tomasz Zastawniak, 2006-04-18 This textbook contains the fundamentals for an undergraduate course in mathematical finance aimed primarily at students of mathematics. Assuming only a basic knowledge of probability and calculus, the material is presented in a mathematically rigorous and complete way. The book covers the time value of money, including the time structure of interest rates, bonds and stock valuation; derivative securities (futures, options), modelling in discrete time, pricing and hedging, and many other core topics. With numerous examples, problems and exercises, this book is ideally suited for independent study. |
| computer science and finance degree: When Genius Failed Roger Lowenstein, 2001-10-09 “A riveting account that reaches beyond the market landscape to say something universal about risk and triumph, about hubris and failure.”—The New York Times NAMED ONE OF THE BEST BOOKS OF THE YEAR BY BUSINESSWEEK In this business classic—now with a new Afterword in which the author draws parallels to the recent financial crisis—Roger Lowenstein captures the gripping roller-coaster ride of Long-Term Capital Management. Drawing on confidential internal memos and interviews with dozens of key players, Lowenstein explains not just how the fund made and lost its money but also how the personalities of Long-Term’s partners, the arrogance of their mathematical certainties, and the culture of Wall Street itself contributed to both their rise and their fall. When it was founded in 1993, Long-Term was hailed as the most impressive hedge fund in history. But after four years in which the firm dazzled Wall Street as a $100 billion moneymaking juggernaut, it suddenly suffered catastrophic losses that jeopardized not only the biggest banks on Wall Street but the stability of the financial system itself. The dramatic story of Long-Term’s fall is now a chilling harbinger of the crisis that would strike all of Wall Street, from Lehman Brothers to AIG, a decade later. In his new Afterword, Lowenstein shows that LTCM’s implosion should be seen not as a one-off drama but as a template for market meltdowns in an age of instability—and as a wake-up call that Wall Street and government alike tragically ignored. Praise for When Genius Failed “[Roger] Lowenstein has written a squalid and fascinating tale of world-class greed and, above all, hubris.”—BusinessWeek “Compelling . . . The fund was long cloaked in secrecy, making the story of its rise . . . and its ultimate destruction that much more fascinating.”—The Washington Post “Story-telling journalism at its best.”—The Economist |
| computer science and finance degree: INTRODUCTION TO ARTIFICIAL INTELLIGENCE, Second Edition AKERKAR, RAJENDRA, 2014-07-18 This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and intelligent systems and guides them towards a better understanding of the subject. The text begins with a brief introduction to artificial intelligence, including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, representation and reasoning. The text also lucidly explains AI technologies such as computer vision, natural language processing, pattern recognition and speech recognition. Topics such as expert systems, neural networks, constraint programming and case-based reasoning are also discussed in the book. In the Second Edition, the contents and presentation have been improved thoroughly and in addition six new chapters providing a simulating and inspiring synthesis of new artificial intelligence and an appendix on AI tools have been introduced. The treatment throughout the book is primarily tailored to the curriculum needs of B.E./B.Tech. students in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc. students in Computer Science, and MCA students. The book is also useful for computer professionals interested in exploring the field of artificial intelligence. Key Features • Exposes the readers to real-world applications of AI. • Concepts are duly supported by examples and cases. • Provides appendices on PROLOG, LISP and AI Tools. • Incorporates most recommendations of the Curriculum Committee on Computer Science/Engineering for AI and Intelligent Systems. • Exercises provided will help readers apply what they have learned. |
| computer science and finance degree: Statistics and Data Analysis for Financial Engineering David Ruppert, David S. Matteson, 2015-04-21 The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest. |
| computer science and finance degree: Head First C# Andrew Stellman, Jennifer Greene, 2020-12-04 What will you learn from this book? Dive into C# and create apps, user interfaces, games, and more using this fun and highly visual introduction to C#, .NET Core, and Visual Studio. With this completely updated guide, which covers C# 8.0 and Visual Studio 2019, beginning programmers like you will build a fully functional game in the opening chapter. Then you'll learn how to use classes and object-oriented programming, create 3D games in Unity, and query data with LINQ. And you'll do it all by solving puzzles, doing hands-on exercises, and building real-world applications. By the time you're done, you'll be a solid C# programmer--and you'll have a great time along the way! What's so special about this book? Based on the latest research in cognitive science and learning theory, Head First C# uses a visually rich format to engage your mind rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works. |
| computer science and finance degree: Financial Calculus Martin Baxter, Andrew Rennie, 1996-09-19 A rigorous introduction to the mathematics of pricing, construction and hedging of derivative securities. |
| computer science and finance degree: Coding the Matrix Philip N. Klein, 2013-07 An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics. Chapters: The Function, The Field, The Vector, The Vector Space, The Matrix, The Basis, Dimension, Gaussian Elimination, The Inner Product, Special Bases, The Singular Value Decomposition, The Eigenvector, The Linear Program A new edition of this text, incorporating corrections and an expanded index, has been issued as of September 4, 2013, and will soon be available on Amazon. |
| computer science and finance degree: Financial Engineering Tanya S. Beder, Cara M. Marshall, 2011-06-07 FINANCIAL ENGINEERING Financial engineering is poised for a great shift in the years ahead. Everyone from investors and borrowers to regulators and legislators will need to determine what works, what doesn't, and where to go from here. Financial Engineering part of the Robert W. Kolb Series in Finance has been designed to help you do just this. Comprised of contributed chapters by distinguished experts from industry and academia, this reliable resource will help you focus on established activities in the field, developing trends and changes, as well as areas of opportunity. Divided into five comprehensive parts, Financial Engineering begins with an informative overview of the discipline, chronicling its complete history and profiling potential career paths. From here, Part II quickly moves on to discuss the evolution of financial engineering in major markets fixed income, foreign exchange, equities, commodities and credit and offers important commentary on what has worked and what will change. Part III then examines a number of recent innovative applications of financial engineering that have made news over the past decade such as the advent of securitized and structured products and highly quantitative trading strategies for both equities and fixed income. Thoughts on how risk management might be retooled to reflect what has been learned as a result of the recent financial crisis are also included. Part IV of the book is devoted entirely to case studies that present valuable lessons for active practitioners and academics. Several of the cases explore the risk that has instigated losses across multiple markets, including the global credit crisis. You'll gain in-depth insights from cases such as Countrywide, Société Générale, Barings, Long-Term Capital Management, the Florida Local Government Investment Pool, AIG, Merrill Lynch, and many more. The demand for specific and enterprise risk managers who can think outside the box will be substantial during this decade. Much of Part V presents new ways to be successful in an era that demands innovation on both sides of the balance sheet. Chapters that touch upon this essential topic include Musings About Hedging; Operational Risk; and The No-Arbitrage Condition in Financial Engineering: Its Use and Mis-Use. This book is complemented by a companion website that includes details from the editors' survey of financial engineering programs around the globe, along with a glossary of key terms from the book. This practical guide puts financial engineering in perspective, and will give you a better idea of how it can be effectively utilized in real- world situations. |
| computer science and finance degree: Computerworld , 2003-11-24 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| computer science and finance degree: Series 7 Study Guide Series 7 Exam Prep Review Team, 2017-11-07 Series 7 Study Guide: Test Prep Manual & Practice Exam Questions for the FINRA Series 7 Licence Exam Developed for test takers trying to achieve a passing score on the Series 7 exam, this comprehensive study guide includes: -Quick Overview -Test-Taking Strategies -Introduction to the Series 7 Exam -Regulatory Requirements -Knowledge of Investor Profile -Opening and Maintaining Customer Accounts -Business Conduct Knowledge & Suitable Recommendations -Orders and Transactions in Customer Accounts -Professional Conduct and Ethical Considerations -Primary Marketplace -Secondary Marketplace -Principal Factors Affecting Securities, Markets, and Prices -Analysis of Securities and Markets -Equity Securities -Debt Securities -Packaged Securities and Managed Investments -Options -Retirement Plans -Custodial, Edcation, and Health Savings -Practice Questions -Detailed Answer Explanations Each section of the test has a comprehensive review that goes into detail to cover all of the content likely to appear on the Series 7 exam. The practice test questions are each followed by detailed answer explanations. If you miss a question, it's important that you are able to understand the nature of your mistake and how to avoid making it again in the future. The answer explanations will help you to learn from your mistakes and overcome them. Understanding the latest test-taking strategies is essential to preparing you for what you will expect on the exam. A test taker has to not only understand the material that is being covered on the test, but also must be familiar with the strategies that are necessary to properly utilize the time provided and get through the test without making any avoidable errors. Anyone planning to take the Series 7 exam should take advantage of the review material, practice test questions, and test-taking strategies contained in this study guide. |
| computer science and finance degree: Cybersecurity for Executives Gregory J. Touhill, C. Joseph Touhill, 2014-06-09 Practical guide that can be used by executives to make well-informed decisions on cybersecurity issues to better protect their business Emphasizes, in a direct and uncomplicated way, how executives can identify, understand, assess, and mitigate risks associated with cybersecurity issues Covers 'What to Do When You Get Hacked?' including Business Continuity and Disaster Recovery planning, Public Relations, Legal and Regulatory issues, and Notifications and Disclosures Provides steps for integrating cybersecurity into Strategy; Policy and Guidelines; Change Management and Personnel Management Identifies cybersecurity best practices that executives can and should use both in the office and at home to protect their vital information |
| computer science and finance degree: Colleges That Create Futures Princeton Review, 2016-05-10 KICK-START YOUR CAREER WITH THE RIGHT ON-CAMPUS EXPERIENCE! When it comes to getting the most out of college, the experiences you have outside the classroom are just as important as what you study. Colleges That Create Futures looks beyond the usual “best of” college lists to highlight 50 schools that empower students to discover practical, real-world applications for their talents and interests. The schools in this book feature distinctive research, internship, and hands-on learning programs—all the info you need to help find a college where you can parlay your passion into a successful post-college career. Inside, You'll Find: • In-depth profiles covering career services, internship support, student group activity, alumni satisfaction, noteworthy facilities and programs, and more • Candid assessments of each school’s academics from students, current faculty, and alumni • Unique hands-on learning opportunities for students across majors • Testimonials on career prep from alumni in business, education, law, and much more *************************** What makes Colleges That Create Futures important? You've seen the headlines—lately the news has been full of horror stories about how the college educational system has failed many recent grads who leave school with huge debt, no job prospects, and no experience in the working world. Colleges That Create Futures identifies schools that don't fall into this trap but instead prepare students for successful careers! How are the colleges selected? Schools are selected based on survey results on career services, grad school matriculation, internship support, student group and government activity, alumni activity and salaries, and noteworthy facilities and programs. |
| computer science and finance degree: Occupational Outlook Handbook , 1990 Describes 250 occupations which cover approximately 107 million jobs. |
1. Undergraduate Programs
master of science in finance (mfin) The Master of Science in Finance (MFin) is a 36-credit degree program that addresses the needs of students looking to advance their management careers in …
Bachelor of Science, Computer Science program guide
The Bachelor of Science in Computer Science prepares students for a career in the high demand field of Computer Science. Upon program completion, students will apply their learned …
BS-Computer Science-Major Code: 1054 - University of …
This degree is available in a guaranteed 8-semester plan for qualified freshmen. See your advisor to declare your major and sign an official degree plan. The prerequisites and corequisites of …
MASTER OF SCIENCE IN FINTECH - University of Central Florida
• Earned bachelor’s degree from a regionally accredited institution with a minimum of 3.0 GPA in one of the following: accounting, finance, economics, information systems, information …
Minor in Financial Modeling FINMDL-MIN - City University of …
The Computer Science Department, in collaboration with the Accounting and Economics Departments, offers a minor in Financial Modeling that is designed to provide students …
2022 Study Plan Bachelor of Finance and Banking with …
Degree Information • Students must ensure they are correctly enrolled in accordance with the Academic Program Rules • A total of 96.00 units is requred to complete the Bachelor of …
BACHELOR OF SCIENCE FINANCE - Thomas More University
COMPUTER INFORMATION SYSTEMS 3 ☐ CIS 111, Introduction to Computer Systems ... Total hours required for any bachelor's degree 120+ Degree Requirements Checklist BACHELOR …
Roadmap Course 15-3 (Finance) & Course 6-3 (Computer …
Sep 1, 2017 · Roadmap – Course 15-3 (Finance) & Course 6-3 (Computer Science and Engineering) [New Requirements] [subjects that fulfill both Course 15 & Course 6 are in purple]
Master of Science in Quantitative Finance - Faculty
draw content from computer science, econometrics, and mathematics. New courses include the following: Quantitative Portfolio Management, Computational Methods in Finance, Foundations …
Bachelor of Science (B. S.) in Finance - Rowan University
Aug 16, 2021 · Bachelor of Science (B. S.) in Finance SUGGESTED COURSE SEQUENCE--Last Modified 8/16/2021 For Students Entering Rowan CORE Program Fall 2021 and after PLEASE …
Degree Charts - MIT Course Catalog
Degree charts are provided below for several graduate programs. Consult departmental chapters for information on graduate program and the Graduate Education Section for general Institute …
Dual Major in Finance and Computer Science - Fairfield …
The dual major (Finance and Computer Science) is an innovative interdisciplinary combination of curriculum that will provide students with unique skills. As such, a graduate of this dual major …
DUAL MAJOR IN COMPUTER SCIENCE AND FINANCE
CPSC 3351L Computer Science Junior Clinic I 1 FNCE 3210 Principles of Investment 3 HIST 1100 Origins of the Modern World Since 1500 3 SWEG 3301 Software Engineering Methods 3 …
ABBREVIATIONS FOR DEGREES AND OTHER ACADEMIC …
Bachelor of Science in Computer Science and Information Systems — BSc(CSIS) Bachelor of Science in Computer Studies — BSc(CompStud) Bachelor of Science in Engineering — …
Mathematics & Computer Science - East Central University
Our program provides a solid education in all major areas of Computer Science with an emphasis on Software Engineering. Computer Science students generally complete a Bachelor of …
What can I do with a degree in Financial Engineering Financial …
esign and develop financial products, portfolios, markets, and regulations. Financial engineers manage financial risk, identify market opportunities, design an. mathematics and statistics, and …
Computer Science, Economics, and Data Science (Course 6-14)
Science 6.1200[J] Mathematics for Computer Science 12 6.1210 Introduction to Algorithms 12 6.1220[J] Design and Analysis of Algorithms 12 Economics 14.01 Principles of Microeconomics …
Financial Engineering. - University of Canterbury
Financial Engineering is a cross-disciplinary field combining financial and economic theory with the mathematical and computational tools needed to design and develop financial products, …
Frequently Asked Questions about Mathematical Finance at UCT
Students come from engineering, pure mathematics, applied mathematics, statistics, physics and computer science undergraduate degrees. However, in South Africa, a significant portion of …
DUAL MAJOR IN COMPUTER SCIENCE AND FINANCE
The dual major (Finance and Computer Science) is an innovative interdisciplinary curriculum that provides students with unique skills. As such, a graduate of this dual major will be able to …
1. Undergraduate Programs
master of science in finance (mfin) The Master of Science in Finance (MFin) is a 36-credit degree program that addresses the needs of students looking to advance their management careers …
Bachelor of Science, Computer Science program guide
The Bachelor of Science in Computer Science prepares students for a career in the high demand field of Computer Science. Upon program completion, students will apply their learned …
BS-Computer Science-Major Code: 1054 - University of …
This degree is available in a guaranteed 8-semester plan for qualified freshmen. See your advisor to declare your major and sign an official degree plan. The prerequisites and corequisites of …
MASTER OF SCIENCE IN FINTECH - University of Central …
• Earned bachelor’s degree from a regionally accredited institution with a minimum of 3.0 GPA in one of the following: accounting, finance, economics, information systems, information …
Minor in Financial Modeling FINMDL-MIN - City University of …
The Computer Science Department, in collaboration with the Accounting and Economics Departments, offers a minor in Financial Modeling that is designed to provide students …
2022 Study Plan Bachelor of Finance and Banking with …
Degree Information • Students must ensure they are correctly enrolled in accordance with the Academic Program Rules • A total of 96.00 units is requred to complete the Bachelor of …
BACHELOR OF SCIENCE FINANCE - Thomas More University
COMPUTER INFORMATION SYSTEMS 3 ☐ CIS 111, Introduction to Computer Systems ... Total hours required for any bachelor's degree 120+ Degree Requirements Checklist BACHELOR …
Roadmap Course 15-3 (Finance) & Course 6-3 (Computer …
Sep 1, 2017 · Roadmap – Course 15-3 (Finance) & Course 6-3 (Computer Science and Engineering) [New Requirements] [subjects that fulfill both Course 15 & Course 6 are in purple]
Master of Science in Quantitative Finance - Faculty
draw content from computer science, econometrics, and mathematics. New courses include the following: Quantitative Portfolio Management, Computational Methods in Finance, …
Bachelor of Science (B. S.) in Finance - Rowan University
Aug 16, 2021 · Bachelor of Science (B. S.) in Finance SUGGESTED COURSE SEQUENCE--Last Modified 8/16/2021 For Students Entering Rowan CORE Program Fall 2021 and after PLEASE …
Degree Charts - MIT Course Catalog
Degree charts are provided below for several graduate programs. Consult departmental chapters for information on graduate program and the Graduate Education Section for general Institute …
Dual Major in Finance and Computer Science - Fairfield …
The dual major (Finance and Computer Science) is an innovative interdisciplinary combination of curriculum that will provide students with unique skills. As such, a graduate of this dual major …
DUAL MAJOR IN COMPUTER SCIENCE AND FINANCE
CPSC 3351L Computer Science Junior Clinic I 1 FNCE 3210 Principles of Investment 3 HIST 1100 Origins of the Modern World Since 1500 3 SWEG 3301 Software Engineering Methods 3 …
ABBREVIATIONS FOR DEGREES AND OTHER …
Bachelor of Science in Computer Science and Information Systems — BSc(CSIS) Bachelor of Science in Computer Studies — BSc(CompStud) Bachelor of Science in Engineering — …
Mathematics & Computer Science - East Central University
Our program provides a solid education in all major areas of Computer Science with an emphasis on Software Engineering. Computer Science students generally complete a Bachelor of …
What can I do with a degree in Financial Engineering …
esign and develop financial products, portfolios, markets, and regulations. Financial engineers manage financial risk, identify market opportunities, design an. mathematics and statistics, and …
Computer Science, Economics, and Data Science (Course 6 …
Science 6.1200[J] Mathematics for Computer Science 12 6.1210 Introduction to Algorithms 12 6.1220[J] Design and Analysis of Algorithms 12 Economics 14.01 Principles of Microeconomics …
Financial Engineering. - University of Canterbury
Financial Engineering is a cross-disciplinary field combining financial and economic theory with the mathematical and computational tools needed to design and develop financial products, …
Frequently Asked Questions about Mathematical Finance at …
Students come from engineering, pure mathematics, applied mathematics, statistics, physics and computer science undergraduate degrees. However, in South Africa, a significant portion of …
