Advertisement
| cs and math northeastern: The Math Olympian Richard Hoshino, 2015-01-26 BETHANY MACDONALD HAS TRAINED SIX LONG YEARS FOR THIS MOMENT. SHE'LL TRY TO SOLVE FIVE QUESTIONS IN THREE HOURS, FOR ONE IMPROBABLE DREAM. THE DREAM OF REPRESENTING HER COUNTRY, AND BECOMING A MATH OLYMPIAN. As a small-town girl in Nova Scotia bullied for liking numbers more than boys, and lacking the encouragement of her unsupportive single mother who frowns at her daughter's unrealistic ambition, Bethany's road to the International Math Olympiad has been marked by numerous challenges. Through persistence, perseverance, and the support of innovative mentors who inspire her with a love of learning, Bethany confronts these challenges and develops the creativity and confidence to reach her potential. In training to become a world-champion mathlete, Bethany discovers the heart of mathematics - a subject that's not about memorizing formulas, but rather about problem-solving and detecting patterns to uncover truth, as well as learning how to apply the deep and unexpected connections of mathematics to every aspect of her life, including athletics, spirituality, and environmental sustainability. As Bethany reflects on her long journey and envisions her exciting future, she realizes that she has shattered the misguided stereotype that only boys can excel in math, and discovers a sense of purpose that through mathematics, she can and she will make an extraordinary contribution to society. |
| cs and math northeastern: Topics in Topology. (AM-10), Volume 10 Solomon Lefschetz, 2016-03-02 Solomon Lefschetz pioneered the field of topology--the study of the properties of manysided figures and their ability to deform, twist, and stretch without changing their shape. According to Lefschetz, If it's just turning the crank, it's algebra, but if it's got an idea in it, it's topology. The very word topology comes from the title of an earlier Lefschetz monograph published in 1920. In Topics in Topology Lefschetz developed a more in-depth introduction to the field, providing authoritative explanations of what would today be considered the basic tools of algebraic topology. Lefschetz moved to the United States from France in 1905 at the age of twenty-one to find employment opportunities not available to him as a Jew in France. He worked at Westinghouse Electric Company in Pittsburgh and there suffered a horrible laboratory accident, losing both hands and forearms. He continued to work for Westinghouse, teaching mathematics, and went on to earn a Ph.D. and to pursue an academic career in mathematics. When he joined the mathematics faculty at Princeton University, he became one of its first Jewish faculty members in any discipline. He was immensely popular, and his memory continues to elicit admiring anecdotes. Editor of Princeton University Press's Annals of Mathematics from 1928 to 1958, Lefschetz built it into a world-class scholarly journal. He published another book, Lectures on Differential Equations, with Princeton in 1946. |
| cs and math northeastern: A Concise Introduction to Decentralized POMDPs Frans A. Oliehoek, Christopher Amato, 2016-06-03 This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research. |
| cs and math northeastern: Nazis of Copley Square Charles Gallagher, 2021-09-28 The forgotten history of American terrorists who, in the name of God, conspired to overthrow the government and formed an alliance with Hitler. On January 13, 1940, FBI agents burst into the homes and offices of seventeen members of the Christian Front, seizing guns, ammunition, and homemade bombs. J. Edgar HooverÕs charges were incendiary: the group, he alleged, was planning to incite a revolution and install a Òtemporary dictatorshipÓ in order to stamp out Jewish and communist influence in the United States. Interviewed in his jail cell, the frontÕs ringleader was unbowed: ÒAll I can say isÑlong live Christ the King! Down with communism!Ó In Nazis of Copley Square, Charles Gallagher provides a crucial missing chapter in the history of the American far right. The men of the Christian Front imagined themselves as crusaders fighting for the spiritual purification of the nation, under assault from godless communism, and they were hardly alone in their beliefs. The front traced its origins to vibrant global Catholic theological movements of the early twentieth century, such as the Mystical Body of Christ and Catholic Action. The frontÕs anti-Semitism was inspired by Sunday sermons and by lay leaders openly espousing fascist and Nazi beliefs. Gallagher chronicles the evolution of the front, the transatlantic cloak-and-dagger intelligence operations that subverted it, and the mainstream political and religious leaders who shielded the frontÕs activities from scrutiny. Nazis of Copley Square offers a grim tale of faith perverted to violent ends, and its lessons provide a warning for those who hope to stop the spread of far-right violence today. |
| cs and math northeastern: Deep Learning Essentials Anurag Bhardwaj, Wei Di, Jianing Wei, 2018-01-30 Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Book Description Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications. What you will learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU Who this book is for Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python. |
| cs and math northeastern: Standard Monomial Theory V. Lakshmibai, K. N. Raghavan, 2007-12-23 Schubert varieties provide an inductive tool for studying flag varieties. This book is mainly a detailed account of a particularly interesting instance of their occurrence: namely, in relation to classical invariant theory. More precisely, it is about the connection between the first and second fundamental theorems of classical invariant theory on the one hand and standard monomial theory for Schubert varieties in certain special flag varieties on the other. |
| cs and math northeastern: Introduction to Machine and Assembly Language Programming Philip J. Gust, 1986 |
| cs and math northeastern: Listening to Reading Stephen Ratcliffe, 2000-03-30 Contends that experimental writing--from Mallarme, Stein, and Cage to contemporary poets of the eighties and nineties--can teach us much about how we write and read both poetry and criticism. |
| cs and math northeastern: Visualization Analysis and Design Tamara Munzner, 2014-12-01 Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques |
| cs and math northeastern: Conformal Blocks, Generalized Theta Functions and the Verlinde Formula Shrawan Kumar, 2021-11-25 This book gives a complete proof of the Verlinde formula and of its connection to generalized theta functions. |
| cs and math northeastern: Computational Invariant Theory Harm Derksen, Gregor Kemper, 2013-04-17 This book, the first volume of a subseries on Invariant Theory and Algebraic Transformation Groups, provides a comprehensive and up-to-date overview of the algorithmic aspects of invariant theory. Numerous illustrative examples and a careful selection of proofs make the book accessible to non-specialists. |
| cs and math northeastern: Realm of Racket Matthias Felleisen, David Van Horn, Conrad Barski, Northeastern University Students, 2013-06-13 Racket is a descendant of Lisp, a programming language renowned for its elegance, power, and challenging learning curve. But while Racket retains the functional goodness of Lisp, it was designed with beginning programmers in mind. Realm of Racket is your introduction to the Racket language. In Realm of Racket, you'll learn to program by creating increasingly complex games. Your journey begins with the Guess My Number game and coverage of some basic Racket etiquette. Next you'll dig into syntax and semantics, lists, structures, and conditionals, and learn to work with recursion and the GUI as you build the Robot Snake game. After that it's on to lambda and mutant structs (and an Orc Battle), and fancy loops and the Dice of Doom. Finally, you'll explore laziness, AI, distributed games, and the Hungry Henry game. As you progress through the games, chapter checkpoints and challenges help reinforce what you've learned. Offbeat comics keep things fun along the way. As you travel through the Racket realm, you'll: –Master the quirks of Racket's syntax and semantics –Learn to write concise and elegant functional programs –Create a graphical user interface using the 2htdp/image library –Create a server to handle true multiplayer games Realm of Racket is a lighthearted guide to some serious programming. Read it to see why Racketeers have so much fun! |
| cs and math northeastern: Quantum Computation and Information Hiroshi Imai, Masahito Hayashi, 2008-09-12 This book reviews selected topics charterized by great progress and covers the field from theoretical areas to experimental ones. It contains fundamental areas, quantum query complexity, quantum statistical inference, quantum cloning, quantum entanglement, additivity. It treats three types of quantum security system, quantum public key cryptography, quantum key distribution, and quantum steganography. A photonic system is highlighted for the realization of quantum information processing. |
| cs and math northeastern: Hackers & Painters Paul Graham, 2004-05-18 The author examines issues such as the rightness of web-based applications, the programming language renaissance, spam filtering, the Open Source Movement, Internet startups and more. He also tells important stories about the kinds of people behind technical innovations, revealing their character and their craft. |
| cs and math northeastern: On the Power of Small-Depth Computation Emanuele Viola, 2009 In this work we discuss selected topics on small-depth computation, presenting a few unpublished proofs along the way. The four sections contain: (1) A unified treatment of the challenge of exhibiting explicit functions that have small correlation with low-degree polynomials over {0, 1}.(2) An unpublished proof that small bounded-depth circuits (AC0) have exponentially small correlation with the parity function. The proof is due to Klivans and Vadhan; it builds upon and simplifies previous ones. (3) Valiant's simulation of log-depth linear-size circuits of fan-in 2 by sub-exponential size circuits of depth 3 and unbounded fan-in. To our knowledge, a proof of this result has never appeared in full. (4) Applebaum, Ishai, and Kushilevitz's cryptography in bounded depth. |
| cs and math northeastern: Digital Workplace Learning Dirk Ifenthaler, 2018-02-01 This book aims to provide insight into how digital technologies may bridge and enhance formal and informal workplace learning. It features four major themes: 1. Current research exploring the theoretical underpinnings of digital workplace learning. 2. Insights into available digital technologies as well as organizational requirements for technology-enhanced learning in the workplace. 3. Issues and challenges for designing and implementing digital workplace learning as well as strategies for assessments of learning in the workplace. 4. Case studies, empirical research findings, and innovative examples from organizations which successfully adopted digital workplace learning. |
| cs and math northeastern: Discrete Structures Harriet Fell, Javed Aslam, 2016-12-21 Discrete Structures introduces readers to the mathematical structures and methods that form the foundation of computer science and features multiple techniques that readers will turn to regularly throughout their careers in computer and information sciences. Over the course of five modules, students learn specific skills including binary and modular arithmetic, set notation, methods of counting, evaluating sums, and solving recurrences. They study the basics of probability, proof by induction, growth of functions, and analysis techniques. The book also discusses general problem-solving techniques that are widely applicable to real problems. Each module includes motivation applications, technique, theory, and further opportunities for application. Informed by extensive experience teaching in computer science programs, Discrete Structures has been developed specifically for first-year students in those programs. The material is also suitable for courses in computer engineering, as well as those for students who are transferring from other disciplines and just beginning their computer science or engineering education. |
| cs and math northeastern: Biological Kinetics Elena Burlakova, Sergey Dmitrievich Varfolomeev, 2005-10-28 This volume discusses questions of free-radical biology and new, modern directions in molecular cytobiology; proteomics and genomics. The book presents articles and reviews on bioantioxidants, synthesis of new compounds, mechanisms of their action and areas of application. Studies on free radical states using ESR technique, biochemistry of regulato |
| cs and math northeastern: Scientific Computing with MATLAB Dingyu Xue, YangQuan Chen, 2018-09-03 Scientific Computing with MATLAB®, Second Edition improves students’ ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter. The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material. |
| cs and math northeastern: MapReduce Design Patterns Donald Miner, Adam Shook, 2012-11-21 Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using. Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why design patterns are so important. All code examples are written for Hadoop. Summarization patterns: get a top-level view by summarizing and grouping data Filtering patterns: view data subsets such as records generated from one user Data organization patterns: reorganize data to work with other systems, or to make MapReduce analysis easier Join patterns: analyze different datasets together to discover interesting relationships Metapatterns: piece together several patterns to solve multi-stage problems, or to perform several analytics in the same job Input and output patterns: customize the way you use Hadoop to load or store data A clear exposition of MapReduce programs for common data processing patterns—this book is indespensible for anyone using Hadoop. --Tom White, author of Hadoop: The Definitive Guide |
| cs and math northeastern: How to Design Programs, second edition Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi, 2018-05-25 A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming. |
| cs and math northeastern: Music and the Racial Imagination Ronald M. Radano, Philip V. Bohlman, 2000-12 A specter lurks in the house of music, and it goes by the name of race, write Ronald Radano and Philip Bohlman in their introduction. Yet the intimate relationship between race and music has rarely been examined by contemporary scholars, most of whom have abandoned it for the more enlightened notions of ethnicity and culture. Here, a distinguished group of contributors confront the issue head on. Representing an unusually broad range of academic disciplines and geographic regions, they critically examine how the imagination of race has influenced musical production, reception, and scholarly analysis, even as they reject the objectivity of the concept itself. Each essay follows the lead of the substantial introduction, which reviews the history of race in European and American, non-Western and global musics, placing it within the contexts of the colonial experience and the more recent formation of world music. Offering a bold, new revisionist agenda for musicology in a postmodern, postcolonial world, this book will appeal to students of culture and race across the humanities and social sciences. |
| cs and math northeastern: Algorithm Design Jon Kleinberg, Eva Tardos, 2013-08-29 Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. |
| cs and math northeastern: Intentioning Gloria Feldt, 2021-09-28 Intentioning by best-selling author Gloria Feldt will help you envision the life and career you might have thought were impossible dreams, then give you the courage and actionable tools to achieve them. In the wake of the coronavirus pandemic and a pandemic of racial injustice that together shook our world to its core and revealed deep fault lines in our culture, Gloria Feldt, New York Times best-selling author, speaker, commentator, international leadership expert, successful CEO, and feminist icon, shows how we can seize the once-in-a-lifetime opportunity created by massive disruption to build back stronger with diverse women at the center of the recovery. In Intentioning: Sex, Power, Pandemics, and How Women Will Take The Lead for (Everyone’s) Good, Feldt inspires diverse women to embrace their personal power to lead with intention, confidence, and joy. It comes as no surprise to her that women flexed their formidable muscles when needed most, representing a disproportionate number of essential workers during the darkest days of the coronavirus global outbreak and leading the charge against racism in the United States. But this book is decidedly about the future, taking the leadership lessons learned from this disruption and creating a better world for all. Feldt not only unveils the next step in advancing gender parity in all spheres of business and life, but she also lays out the vital next steps in the overall advancement of our economy and our civilization. The “Lead Like a Woman” framework and the “9 Leadership Intentioning Tools” she presents in this book will prepare, motivate, and propel women of all diversities and intersectionalities now so that by 2025, women will have attained their fair and equal share of leadership positions across all sectors of industry and society. We simply cannot squander women’s talents when so much hangs in the balance. Women must be at the vanguard of reimagining and reconstructing a vibrant and sustainable future for us all. |
| cs and math northeastern: Mathematical Control Theory Eduardo D. Sontag, 2013-11-21 Geared primarily to an audience consisting of mathematically advanced undergraduate or beginning graduate students, this text may additionally be used by engineering students interested in a rigorous, proof-oriented systems course that goes beyond the classical frequency-domain material and more applied courses. The minimal mathematical background required is a working knowledge of linear algebra and differential equations. The book covers what constitutes the common core of control theory and is unique in its emphasis on foundational aspects. While covering a wide range of topics written in a standard theorem/proof style, it also develops the necessary techniques from scratch. In this second edition, new chapters and sections have been added, dealing with time optimal control of linear systems, variational and numerical approaches to nonlinear control, nonlinear controllability via Lie-algebraic methods, and controllability of recurrent nets and of linear systems with bounded controls. |
| cs and math northeastern: Landscapes from Antiquity Simon Stoddart, 2001 This is the first volume of an exciting new project; Antiquity , drawing on its 75-year tradition of publishing articles of enduring value, has brought together twenty-four classic papers on a central archaeological theme. The papers have been selected to represent ancient and modern landscape approaches, organized into thematic sections: Early studies of Fox and Curwen, aerial photography of Bradford, Crawford and St Joseph, survey method, integrated regional landscapes, physical, industrial, contested and experienced landscapes. Each section is introduced with an overview and personal perspective by Simon Stoddart, the current editor of Antiquity . As he points out in the introduction, the editor of Antiquity has always drawn on the most exciting and relevant of current research. Consequently the frequency and content of landscape in Antiquity provides illuminating commentary on the definition and prominence of the theme landscape in archaeological research. Contents: Early studies of landscape: Prehistoric Cart-tracks in Malta ( T. Zammit ); Dykes ( Cyril Fox ); The Hebrides: a Cultural Backwater ( E. Cecil Curwen ); Native Settlements of Northumberland ( A. H. A. Hogg ). The impact of aerial photography: Woodbury. Two marvellous air-photographs ( O. G. S. Crawford ); Iron Age square enclosures in Rhineland ( K. V. Decker and I. Scollar ); Aerial reconnaissance in Picardy ( R. Agache ); Air reconnaissance: recent results ( J. K. St Joseph ). Survey method and analysis: Understanding early medieval pottery distributions ( A. J. Schofield ); Exploring the topography of the mind: GIS, social space and archaeology ( Marcos Llobera ). Integrated landscape archaeology: Neolithic settlement patterns at Avebury, Wiltshire ( Robin Holgate ); Stonehenge for the ancestors: the stones pass on the message ( M. Parker Pearson and Ramilisonina ); Aerial reconnaissance of the Fen Basin ( D. N. Riley ); The Fenland Project: from survey management and beyond ( John Coles and David Hall ); Siticulosa Apulia ( John Bradford and P. R. Williams-Hunt ); Archaeology and the Etruscan countryside ( Graeme Barker ). Physical landscapes: Active tectonics and land-use strategies: a Palaeolithic example from northwest Greece ( Geoff Bailey, Geoff King and Derek Sturdy ); A guide for archaeologists investigating Holocene landscapes ( A. J. Howard and M. G. Macklin ). Industrial landscapes: Trouble at t'mill: industrial archaeology in the 1980s ( C. M. Clark ); Towards an archaeology of navvy huts and settlements of the industrial revolution ( Michael Morris ). Contested landscapes: The Berlin Wall: production, preservation and consumption of a 20th-century monument ( Frederick Baker ); Seeing stars: character and identity in the landscapes of modern Macedonia ( Keith Brown ). Experienced landscapes: Forms of power: dimensions of an Irish megalithic landscape ( Jean McMann ); Late woodland landscapes of Wisconsin: ridges, fields, effigy mounds and territoriality ( William Gustav Gartner ). |
| cs and math northeastern: Cryptography Nigel Paul Smart, 2003 Nigel Smartâ¬s Cryptography provides the rigorous detail required for advanced cryptographic studies, yet approaches the subject matter in an accessible style in order to gently guide new students through difficult mathematical topics. |
| cs and math northeastern: Java Programming Ralph Bravaco, Shai Simonson, 2009-02-01 Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition. |
| cs and math northeastern: Numerical Linear Algebra Lloyd N. Trefethen, David Bau, 2022-06-17 Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field, used in universities around the world. It is noted for its 40 lecture-sized short chapters and its clear and inviting style. It is reissued here with a new foreword by James Nagy and a new afterword by Yuji Nakatsukasa about subsequent developments. |
| cs and math northeastern: Active Learning Strategies in Higher Education Anastasia Misseyanni, Miltiadis D. Lytras, Paraskevi Papadopoulou, Christina Marouli, 2018-04-06 This book focuses on selected best practices for effective active learning in Higher Education. Contributors present the epistemology of active learning along with specific case studies from different disciplines and countries. Discussing issues around ICTs, collaborative learning, experiential learning and other active learning strategies. |
| cs and math northeastern: 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. |
| cs and math northeastern: Strengthening the Linkages Between the Sciences and the Mathematical Sciences National Research Council, Commission on Physical Sciences, Mathematics, and Applications, Committee on Strengthening the Linkages Between the Sciences and the Mathematical Sciences, 2000-04-05 Over three hundred years ago, Galileo is reported to have said, The laws of nature are written in the language of mathematics. Often mathematics and science go hand in hand, with one helping develop and improve the other. Discoveries in science, for example, open up new advances in statistics, computer science, operations research, and pure and applied mathematics which in turn enabled new practical technologies and advanced entirely new frontiers of science. Despite the interdependency that exists between these two disciplines, cooperation and collaboration between mathematical scientists and scientists have only occurred by chance. To encourage new collaboration between the mathematical sciences and other fields and to sustain present collaboration, the National Research Council (NRC) formed a committee representing a broad cross-section of scientists from academia, federal government laboratories, and industry. The goal of the committee was to examine the mechanisms for strengthening interdisciplinary research between mathematical sciences and the sciences, with a strong focus on suggesting the most effective mechanisms of collaboration. Strengthening the Linkages Between the Sciences and the Mathematical Sciences provides the findings and recommendations of the committee as well as case studies of cross-discipline collaboration, the workshop agenda, and federal agencies that provide funding for such collaboration. |
| cs and math northeastern: How to Think About Analysis Lara Alcock, 2014-09-25 Analysis (sometimes called Real Analysis or Advanced Calculus) is a core subject in most undergraduate mathematics degrees. It is elegant, clever and rewarding to learn, but it is hard. Even the best students find it challenging, and those who are unprepared often find it incomprehensible at first. This book aims to ensure that no student need be unprepared. It is not like other Analysis books. It is not a textbook containing standard content. Rather, it is designed to be read before arriving at university and/or before starting an Analysis course, or as a companion text once a course is begun. It provides a friendly and readable introduction to the subject by building on the student's existing understanding of six key topics: sequences, series, continuity, differentiability, integrability and the real numbers. It explains how mathematicians develop and use sophisticated formal versions of these ideas, and provides a detailed introduction to the central definitions, theorems and proofs, pointing out typical areas of difficulty and confusion and explaining how to overcome these. The book also provides study advice focused on the skills that students need if they are to build on this introduction and learn successfully in their own Analysis courses: it explains how to understand definitions, theorems and proofs by relating them to examples and diagrams, how to think productively about proofs, and how theories are taught in lectures and books on advanced mathematics. It also offers practical guidance on strategies for effective study planning. The advice throughout is research based and is presented in an engaging style that will be accessible to students who are new to advanced abstract mathematics. |
| cs and math northeastern: 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. |
| cs and math northeastern: Introductory Statistics Douglas S. Shafer, 2022 |
| cs and math northeastern: The Structure and Dynamics of Networks Mark Newman, Albert-László Barabási, Duncan J. Watts, 2011-10-23 From the Internet to networks of friendship, disease transmission, and even terrorism, the concept--and the reality--of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields--including mathematics, physics, computer science, sociology, and biology--have been pursuing these questions and building a new science of networks. This book brings together for the first time a set of seminal articles representing research from across these disciplines. It is an ideal sourcebook for the key research in this fast-growing field. The book is organized into four sections, each preceded by an editors' introduction summarizing its contents and general theme. The first section sets the stage by discussing some of the historical antecedents of contemporary research in the area. From there the book moves to the empirical side of the science of networks before turning to the foundational modeling ideas that have been the focus of much subsequent activity. The book closes by taking the reader to the cutting edge of network science--the relationship between network structure and system dynamics. From network robustness to the spread of disease, this section offers a potpourri of topics on this rapidly expanding frontier of the new science. |
| cs and math northeastern: Privacy as Trust Ari Ezra Waldman, 2018-03-29 Proposes a new way of thinking about information privacy that leverages law to protect disclosures in contexts of trust. |
| cs and math northeastern: Number Theory II A. N. Parshin, Игорь Ростиславович Шафаревич, 1992 Volume 62 of the Encyclopedia presents the main structures and results of algebraic number theory with emphasis on algebraic number fields and class field theory. Written for the nonspecialist, the author assumes a general understanding of modern algebra and elementary number theory. Only the general properties of algebraic number fields and relate. |
| cs and math northeastern: Handbook of Discrete and Computational Geometry Csaba D. Toth, Joseph O'Rourke, Jacob E. Goodman, 2017-11-22 The Handbook of Discrete and Computational Geometry is intended as a reference book fully accessible to nonspecialists as well as specialists, covering all major aspects of both fields. The book offers the most important results and methods in discrete and computational geometry to those who use them in their work, both in the academic world—as researchers in mathematics and computer science—and in the professional world—as practitioners in fields as diverse as operations research, molecular biology, and robotics. Discrete geometry has contributed significantly to the growth of discrete mathematics in recent years. This has been fueled partly by the advent of powerful computers and by the recent explosion of activity in the relatively young field of computational geometry. This synthesis between discrete and computational geometry lies at the heart of this Handbook. A growing list of application fields includes combinatorial optimization, computer-aided design, computer graphics, crystallography, data analysis, error-correcting codes, geographic information systems, motion planning, operations research, pattern recognition, robotics, solid modeling, and tomography. |
| cs and math northeastern: Formalizing Common Sense John McCarthy, 1998 Extending over a period of 30 years, this is a collection of papers written by John McCarthy on artificial intelligence. They range from informal surveys written for a general audience to technical discussions of challenging research problems that should be of interest to specialists. |
c# - run single *.cs script from command line - Stack Overflow
May 30, 2016 · and according to this thread i think dotnet run Test.cs should do the job. But for my testclass which is: using System; namespace Scripts { public class Program { public static void …
反恐精英（CS）一共发行过多少个版本？每个版本之间有什么区 …
巅峰：《反恐精英：全球攻势》cs：go 集大成于一体的“铁腕”《反恐精英：全球攻势》正是CS：GO的全称。 是一款由VALVE与Hidden Path Entertainment合作开发的第一人称射击游 …
ASP.NET Core 6+ how to access Configuration during startup
Oct 26, 2021 · Now in .NET 6 and above (With Visual Studio 2022), we don't see the Startup.cs class. Looks like its days are numbered. So how do we get these objects like …
asp.net core - Logging within Program.cs - Stack Overflow
Jul 21, 2017 · What worked for me in combination with serilog based on the default template of Program.cs (.NET 6.0), was nearly the same approach as the one of Leniel Maccaferri. ILogger …
c# - Convert .cs to .dll - Stack Overflow
May 29, 2013 · How can I compile a .cs file into a DLL? My project name is WA. In my bin folder after the compilation, I found: WA.exe WA.vshost.exe WA.pdb
What is the difference between .aspx and .aspx.cs?
The .cs file names .aspx.cs is the code behind that goes with .aspx, which generally holds the html, css, javascript and other client side controls. Generally, dynamic code (C# in this case …
Error CS2001: Source file '.cs' could not be found
Oct 16, 2013 · This happened to me when renaming a .cs file. It wouldn't show the "missing" file until I closed Visual Studio and reopened project. Removed the invalid reference and had to …
c# - How to set connectionstring from appsettings.json in Entity ...
May 7, 2019 · I can show you two options of how to pass connection string via strongly typed Settings class loaded from appsettings.json.
Startup.cs class is missing in .NET 6 - Stack Overflow
Nov 14, 2022 · In .NET 6, they unified Startup.cs and Program.cs into one Program.cs. Now registering middleware, services and adding DbContext and everything else into the …
.net - What is AssemblyInfo.cs used for? - Stack Overflow
Nov 1, 2012 · AssemblyInfo.cs contains information about your assembly, like name, description, version, etc. You can find more details about its content reading the comments that are …
c# - run single *.cs script from command line - Stack Overflow
May 30, 2016 · and according to this thread i think dotnet run Test.cs should do the job. But for my testclass which is: using System; namespace Scripts { public class Program { public static …
反恐精英（CS）一共发行过多少个版本？每个版本之间有什么区 …
巅峰：《反恐精英：全球攻势》cs：go 集大成于一体的“铁腕”《反恐精英：全球攻势》正是CS：GO的全称。 是一款由VALVE与Hidden Path Entertainment合作开发的第一人称射击游 …
ASP.NET Core 6+ how to access Configuration during startup
Oct 26, 2021 · Now in .NET 6 and above (With Visual Studio 2022), we don't see the Startup.cs class. Looks like its days are numbered. So how do we get these objects like …
asp.net core - Logging within Program.cs - Stack Overflow
Jul 21, 2017 · What worked for me in combination with serilog based on the default template of Program.cs (.NET 6.0), was nearly the same approach as the one of Leniel Maccaferri. …
c# - Convert .cs to .dll - Stack Overflow
May 29, 2013 · How can I compile a .cs file into a DLL? My project name is WA. In my bin folder after the compilation, I found: WA.exe WA.vshost.exe WA.pdb
What is the difference between .aspx and .aspx.cs?
The .cs file names .aspx.cs is the code behind that goes with .aspx, which generally holds the html, css, javascript and other client side controls. Generally, dynamic code (C# in this case …
Error CS2001: Source file '.cs' could not be found
Oct 16, 2013 · This happened to me when renaming a .cs file. It wouldn't show the "missing" file until I closed Visual Studio and reopened project. Removed the invalid reference and had to …
c# - How to set connectionstring from appsettings.json in Entity ...
May 7, 2019 · I can show you two options of how to pass connection string via strongly typed Settings class loaded from appsettings.json.
Startup.cs class is missing in .NET 6 - Stack Overflow
Nov 14, 2022 · In .NET 6, they unified Startup.cs and Program.cs into one Program.cs. Now registering middleware, services and adding DbContext and everything else into the …
.net - What is AssemblyInfo.cs used for? - Stack Overflow
Nov 1, 2012 · AssemblyInfo.cs contains information about your assembly, like name, description, version, etc. You can find more details about its content reading the comments that are …
