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| computer science phd interview: Distributed Computing Hagit Attiya, Jennifer Welch, 2004-03-25 * Comprehensive introduction to the fundamental results in the mathematical foundations of distributed computing * Accompanied by supporting material, such as lecture notes and solutions for selected exercises * Each chapter ends with bibliographical notes and a set of exercises * Covers the fundamental models, issues and techniques, and features some of the more advanced topics |
| computer science phd interview: The Professor Is In Karen Kelsky, 2015-08-04 The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more. |
| computer science phd interview: Programming Interviews Exposed John Mongan, Noah Suojanen Kindler, Eric Giguère, 2011-08-10 The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and complex brainteasers they were asked during recent technical interviews. 50 interview scenarios are presented along with in-depth analysis of the possible solutions. The problem-solving process is clearly illustrated so you'll be able to easily apply what you've learned during crunch time. You'll also find expert tips on what questions to ask, how to approach a problem, and how to recover if you become stuck. All of this will help you ace the interview and get the job you want. What you will learn from this book Tips for effectively completing the job application Ways to prepare for the entire programming interview process How to find the kind of programming job that fits you best Strategies for choosing a solution and what your approach says about you How to improve your interviewing skills so that you can respond to any question or situation Techniques for solving knowledge-based problems, logic puzzles, and programming problems Who this book is for This book is for programmers and developers applying for jobs in the software industry or in IT departments of major corporations. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved. |
| computer science phd interview: Impossibility Results for Distributed Computing Hagit Attiya, Faith Ellen, 2014-05-01 To understand the power of distributed systems, it is necessary to understand their inherent limitations: what problems cannot be solved in particular systems, or without sufficient resources (such as time or space). This book presents key techniques for proving such impossibility results and applies them to a variety of different problems in a variety of different system models. Insights gained from these results are highlighted, aspects of a problem that make it difficult are isolated, features of an architecture that make it inadequate for solving certain problems efficiently are identified, and different system models are compared. Table of Contents: Acknowledgments / Introduction / Indistinguishability / Shifting and Scaling / Scenario Arguments / Information Theory Arguments / Covering Arguments / Valency Arguments / Combinatorial Arguments / Reductions and Simulations / Bibliography / Authors' Biographies |
| computer science phd interview: The Art of Getting Computer Science PhD Emdad Ahmed, 2013-02-06 The Art of Getting Computer Science PhD is an autobiographical book where Emdad Ahmed highlighted the experiences that he has gone through during the past 25 years (1988-2012) in various capacities both as Computer Science student as well as Computer Science faculty at different higher educational institutions in USA, Australia and Bangladesh. This book will be a valuable source of reference for computing professional at large. In the 150 pages book Emdad Ahmed tells the story in a lively manner balancing computer science hard job and life. |
| computer science phd interview: A PhD Is Not Enough! Peter J. Feibelman, 2011-01-11 Everything you ever need to know about making it as a scientist. Despite your graduate education, brainpower, and technical prowess, your career in scientific research is far from assured. Permanent positions are scarce, science survival is rarely part of formal graduate training, and a good mentor is hard to find. In A Ph.D. Is Not Enough!, physicist Peter J. Feibelman lays out a rational path to a fulfilling long-term research career. He offers sound advice on selecting a thesis or postdoctoral adviser; choosing among research jobs in academia, government laboratories, and industry; preparing for an employment interview; and defining a research program. The guidance offered in A Ph.D. Is Not Enough! will help you make your oral presentations more effective, your journal articles more compelling, and your grant proposals more successful. A classic guide for recent and soon-to-be graduates, A Ph.D. Is Not Enough! remains required reading for anyone on the threshold of a career in science. This new edition includes two new chapters and is revised and updated throughout to reflect how the revolution in electronic communication has transformed the field. |
| computer science phd interview: Elements of Programming Interviews Adnan Aziz, Tsung-Hsien Lee, Amit Prakash, 2012 The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns. |
| computer science phd interview: Quant Job Interview Questions and Answers Mark Joshi, Nick Denson, Nicholas Denson, Andrew Downes, 2013 The quant job market has never been tougher. Extensive preparation is essential. Expanding on the successful first edition, this second edition has been updated to reflect the latest questions asked. It now provides over 300 interview questions taken from actual interviews in the City and Wall Street. Each question comes with a full detailed solution, discussion of what the interviewer is seeking and possible follow-up questions. Topics covered include option pricing, probability, mathematics, numerical algorithms and C++, as well as a discussion of the interview process and the non-technical interview. All three authors have worked as quants and they have done many interviews from both sides of the desk. Mark Joshi has written many papers and books including the very successful introductory textbook, The Concepts and Practice of Mathematical Finance. |
| computer science phd interview: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| computer science phd interview: The New PhD Leonard Cassuto, Robert Weisbuch, 2021-01-19 By fixing the PhD, we can benefit the entire educational system and the life of our society along with it. |
| computer science phd interview: Cracking The Machine Learning Interview Nitin Suri, 2018-12-18 A breakthrough in machine learning would be worth ten Microsofts. -Bill Gates Despite being one of the hottest disciplines in the Tech industry right now, Artificial Intelligence and Machine Learning remain a little elusive to most.The erratic availability of resources online makes it extremely challenging for us to delve deeper into these fields. Especially when gearing up for job interviews, most of us are at a loss due to the unavailability of a complete and uncondensed source of learning. Cracking the Machine Learning Interview Equips you with 225 of the best Machine Learning problems along with their solutions. Requires only a basic knowledge of fundamental mathematical and statistical concepts. Assists in learning the intricacies underlying Machine Learning concepts and algorithms suited to specific problems. Uniquely provides a manifold understanding of both statistical foundations and applied programming models for solving problems. Discusses key points and concrete tips for approaching real life system design problems and imparts the ability to apply them to your day to day work. This book covers all the major topics within Machine Learning which are frequently asked in the Interviews. These include: Supervised and Unsupervised Learning Classification and Regression Decision Trees Ensembles K-Nearest Neighbors Logistic Regression Support Vector Machines Neural Networks Regularization Clustering Dimensionality Reduction Feature Extraction Feature Engineering Model Evaluation Natural Language Processing Real life system design problems Mathematics and Statistics behind the Machine Learning Algorithms Various distributions and statistical tests This book can be used by students and professionals alike. It has been drafted in a way to benefit both, novices as well as individuals with substantial experience in Machine Learning. Following Cracking The Machine Learning Interview diligently would equip you to face any Machine Learning Interview. |
| computer science phd interview: Creative Minds, Charmed Lives: Interviews At Institute For Mathematical Sciences, National University Of Singapore Yu Kiang Leong, 2010-06-09 This book features interviews of 38 eminent mathematicians and mathematical scientists who were invited to participate in the programs of the Institute for Mathematical Sciences, National University of Singapore. Originally published in its newsletter Imprints from 2003 to 2009, these interviews give a fascinating and insightful glimpse into the passion driving some of the most creative minds in modern research in pure mathematics, applied mathematics, statistics, economics and engineering.The reader is drawn into a panorama of the past and present developments of some of the ideas that have revolutionized modern science and mathematics. This book should be relevant to those who are interested in the history and psychology of ideas. It should provide motivation, inspiration and guidance to students who aspire to do research and to beginning researchers who are looking for career niches.For those who wish to be broadly educated, it is informative without delving into excessive technical details and is, at the same time, thought provoking enough to arouse their curiosity to learn more about the world around them. |
| computer science phd interview: Programming Marc Rawen, 2016-08-16 Become A Programming Master By Learning These Fundamentals Languages Discover the secret right here, right now ! Have you ever wanted to become a programmer ? If you answered yes, this book is made for you. You will learn the most popular computer languages to make any program you want. Here is what's inside: An introduction of what a program really is How to use popular languages such as C+, Java, Python.. A lot of programs examples that you can do right now ! Marc Rawen, the author of this book, will guide you each step of the way. This is your chance create any program you want. So start your training now and achieve the goals that you have. This book will show you how to do it precisely. Begin your journey TODAY by scrolling up and clicking the BUY button. |
| computer science phd interview: How Smart Machines Think Sean Gerrish, 2018-10-30 Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson's famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people. |
| computer science phd interview: Complexity Dichotomies for Counting Problems Jin-yi Cai, Chen, Xi, 2017 Complexity theory aims to understand and classify computational problems, especially decision problems, according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems. The authors present dichotomy classifications for broad classes of counting problems in the realm of P and NP. Classifications are proved for partition functions of spin systems, graph homomorphisms, constraint satisfaction problems, and Holant problems. The book assumes minimal prior knowledge of computational complexity theory, developing proof techniques as needed and gradually increasing the generality and abstraction of the theory. This volume presents the theory on the Boolean domain, and includes a thorough presentation of holographic algorithms, culminating in classifications of computational problems studied in exactly solvable models from statistical mechanics |
| computer science phd interview: First in the Field Robin Lea Pyle, 2019-07-15 First in the Field: Breaking Ground in Computer Science at Purdue University chronicles the history and development of the first computer science department established at a university in the United States. The backdrop for this groundbreaking academic achievement is Purdue in the 1950s when mathematicians, statisticians, engineers, and scientists from various departments were searching for faster and more efficient ways to conduct their research. These were fertile times, as recognized by Purdue’s President Frederick L. Hovde, whose support of what was to become the first “university-centered” computer center in America laid the foundation for the nation’s first department of computer science.The book pulls together strands of the story from previously unpublished texts and photographs, as well as published articles and interviews, to provide the first complete historical account of the genesis of the Department of Computer Sciences at Purdue, and its continued growth up to the present. It is a fascinating story with parallels to the “space race,” involving many players, some of whose contributions have gone previously unacknowledged in the heat of the race. Filled with unique historical anecdotes detailing the challenges of legitimizing the new academic field, these stories bring to life the strong convictions of a group of pioneering thinkers that continue to resonate for us today. The raw determination required to transform a computing laboratory that offered early programming courses into a full-fledged computer center and a department offering degrees in computer science characterizes this story of interest to anyone intrigued by the pathways creativity takes in scientific endeavors. It is a story that matters because it was, and is, an ongoing achievement of leadership in education and research in a field that has totally revolutionized our society. |
| computer science phd interview: Programming Interviews Exposed John Mongan, Noah Suojanen Kindler, Eric Giguère, 2018-03-28 Ace technical interviews with smart preparation Programming Interviews Exposed is the programmer’s ideal first choice for technical interview preparation. Updated to reflect changing techniques and trends, this new fourth edition provides insider guidance on the unique interview process that today's programmers face. Online coding contests are being used to screen candidate pools of thousands, take-home projects have become commonplace, and employers are even evaluating a candidate's public code repositories at GitHub—and with competition becoming increasingly fierce, programmers need to shape themselves into the ideal candidate well in advance of the interview. This book doesn't just give you a collection of questions and answers, it walks you through the process of coming up with the solution so you learn the skills and techniques to shine on whatever problems you’re given. This edition combines a thoroughly revised basis in classic questions involving fundamental data structures and algorithms with problems and step-by-step procedures for new topics including probability, data science, statistics, and machine learning which will help you fully prepare for whatever comes your way. Learn what the interviewer needs to hear to move you forward in the process Adopt an effective approach to phone screens with non-technical recruiters Examine common interview problems and tests with expert explanations Be ready to demonstrate your skills verbally, in contests, on GitHub, and more Technical jobs require the skillset, but you won’t get hired unless you are able to effectively and efficiently demonstrate that skillset under pressure, in competition with hundreds of others with the same background. Programming Interviews Exposed teaches you the interview skills you need to stand out as the best applicant to help you get the job you want. |
| computer science phd interview: Accelerated Materials Discovery Phil De Luna, 2022-02-21 Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world’s biggest challenges. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs). |
| computer science phd interview: Art And Practice Of Mathematics, The: Interviews At The Institute For Mathematical Sciences, National University Of Singapore, 2010-2020 Yu Kiang Leong, 2021-06-23 This book constitutes the second volume of interviews with prominent mathematicians and mathematical scientists who visited the Institute for Mathematical Sciences, National University of Singapore. First published in the Institute's newsletter Imprints during the period 2010-2020, they offer glimpses of an esoteric universe as viewed and experienced by some of the leading and creative practitioners of the craft of mathematics.The topics covered in this volume are wide-ranging, running from pure mathematics (logic, number theory, algebraic geometry) to applied mathematics (mathematical modeling, fluid dynamics) through probability and statistics, mathematical physics, theoretical computer science and financial mathematics. This eclectic mix of the abstract and the concrete should interest those who are enthralled by the mystique and power of mathematics, whether they are students, researchers or the non-specialists.By briefly tracing the paths traveled by the pioneers of different national backgrounds, the interviews attempt to put a cultural face to an intellectual endeavor that is often perceived as dry and austere by the uninitiated. They should also interest those who are intrigued by the influence of the environment on the creative spirit, and, in particular, those who are interested in the psychology and history of ideas. |
| computer science phd interview: Chromatic Algorithms Carolyn L. Kane, 2014-08-13 These days, we take for granted that our computer screens—and even our phones—will show us images in vibrant full color. Digital color is a fundamental part of how we use our devices, but we never give a thought to how it is produced or how it came about. Chromatic Algorithms reveals the fascinating history behind digital color, tracing it from the work of a few brilliant computer scientists and experimentally minded artists in the late 1960s and early ‘70s through to its appearance in commercial software in the early 1990s. Mixing philosophy of technology, aesthetics, and media analysis, Carolyn Kane shows how revolutionary the earliest computer-generated colors were—built with the massive postwar number-crunching machines, these first examples of “computer art” were so fantastic that artists and computer scientists regarded them as psychedelic, even revolutionary, harbingers of a better future for humans and machines. But, Kane shows, the explosive growth of personal computing and its accompanying need for off-the-shelf software led to standardization and the gradual closing of the experimental field in which computer artists had thrived. Even so, the gap between the bright, bold presence of color onscreen and the increasing abstraction of its underlying code continues to lure artists and designers from a wide range of fields, and Kane draws on their work to pose fascinating questions about the relationships among art, code, science, and media in the twenty-first century. |
| computer science phd interview: Deep Learning Interviews Shlomo Kashani, 2020-12-09 The book's contents is a large inventory of numerous topics relevant to DL job interviews and graduate level exams. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills. It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. This volume is designed as an excellent reference for graduates of such programs. |
| computer science phd interview: Computation and the Humanities Julianne Nyhan, Andrew Flinn, 2016-11-23 This book addresses the application of computing to cultural heritage and the discipline of Digital Humanities that formed around it. Digital Humanities research is transforming how the Human record can be transmitted, shaped, understood, questioned and imagined and it has been ongoing for more than 70 years. However, we have no comprehensive histories of its research trajectory or its disciplinary development. The authors make a first contribution towards remedying this by uncovering, documenting, and analysing a number of the social, intellectual and creative processes that helped to shape this research from the 1950s until the present day. By taking an oral history approach, this book explores questions like, among others, researchers’ earliest memories of encountering computers and the factors that subsequently prompted them to use the computer in Humanities research. Computation and the Humanities will be an essential read for cultural and computing historians, digital humanists and those interested in developments like the digitisation of cultural heritage and artefacts. This book is open access under a CC BY-NC 2.5 license |
| computer science phd interview: Digital_Humanities Anne Burdick, Johanna Drucker, Peter Lunenfeld, Todd Presner, Jeffrey Schnapp, 2016-02-12 A visionary report on the revitalization of the liberal arts tradition in the electronically inflected, design-driven, multimedia language of the twenty-first century. Digital_Humanities is a compact, game-changing report on the state of contemporary knowledge production. Answering the question “What is digital humanities?,” it provides an in-depth examination of an emerging field. This collaboratively authored and visually compelling volume explores methodologies and techniques unfamiliar to traditional modes of humanistic inquiry—including geospatial analysis, data mining, corpus linguistics, visualization, and simulation—to show their relevance for contemporary culture. Written by five leading practitioner-theorists whose varied backgrounds embody the intellectual and creative diversity of the field, Digital_Humanities is a vision statement for the future, an invitation to engage, and a critical tool for understanding the shape of new scholarship. |
| computer science phd interview: Smart and Gets Things Done Avram Joel Spolsky, 2007-10-17 A good programmer can outproduce five, ten, and sometimes more run-of-the-mill programmers. The secret to success for any software company then is to hire the good programmers. But how to do that? In Joel on Hiring, Joel Spolsky draws from his experience both at Microsoft and running his own successful software company based in New York City. He writes humorously, but seriously about his methods for sorting resumes, for finding great candidates, and for interviewing, in person and by phone. Joel’s methods are not complex, but they do get to the heart of the matter: how to recognize a great developer when you see one. |
| computer science phd interview: Designing Sound Andy Farnell, 2010-08-20 A practitioner's guide to the basic principles of creating sound effects using easily accessed free software. Designing Sound teaches students and professional sound designers to understand and create sound effects starting from nothing. Its thesis is that any sound can be generated from first principles, guided by analysis and synthesis. The text takes a practitioner's perspective, exploring the basic principles of making ordinary, everyday sounds using an easily accessed free software. Readers use the Pure Data (Pd) language to construct sound objects, which are more flexible and useful than recordings. Sound is considered as a process, rather than as data—an approach sometimes known as “procedural audio.” Procedural sound is a living sound effect that can run as computer code and be changed in real time according to unpredictable events. Applications include video games, film, animation, and media in which sound is part of an interactive process. The book takes a practical, systematic approach to the subject, teaching by example and providing background information that offers a firm theoretical context for its pragmatic stance. [Many of the examples follow a pattern, beginning with a discussion of the nature and physics of a sound, proceeding through the development of models and the implementation of examples, to the final step of producing a Pure Data program for the desired sound. Different synthesis methods are discussed, analyzed, and refined throughout.] After mastering the techniques presented in Designing Sound, students will be able to build their own sound objects for use in interactive applications and other projects |
| computer science phd interview: Cases in Online Interview Research Janet Salmons, 2011-11-08 In an era of constrained research budgets, online interviewing opens up immense possibilities: a researcher can literally conduct a global study without ever leaving home. But more than a decade after these technologies started to become available, there are still few studies on how to utilize online interviews in research. This book provides 10 cases of research conducted using online interviews, with data collected through text-based, videoconferencing, multichannel meetings, and immersive 3-D environments. Each case is followed by two commentaries: one from another expert contributor, the second from Janet Salmons, as editor. |
| computer science phd interview: Socio-Technical Aspects in Security and Trust Thomas Groß, Theo Tryfonas, 2021-05-10 The open access volume LNCS 11739 constitutes the proceedings of the 9th International Workshop on Socio-Technical Aspects in Security, STAST 2019, held in Luxembourg, in September 2019. The total of 9 full papers together with 1 short paper was carefully reviewed and selected from 28 submissions. The papers were organized in topical sections named as follows: Methods for Socio-Technical Systems focused on instruments, frameworks and re ections on research methodology and also System Security considered security analyses and attacks on security systems. Finally, Privacy Control incorporated works on privacy protection and control as well as human factors in relation to these topics. |
| computer science phd interview: 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 phd interview: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
| computer science phd interview: Cracking the Data Science Interview Maverick Lin, 2019-12-17 Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics. |
| computer science phd interview: Chinese PhD Thesis Acknowledgements Hua Peng, 2010 While there is a comparatively rich research literature on English acknowledgement texts, research into Chinese PhD thesis acknowledgement texts, especially the social roles of the texts, has received little attention. To fill this gap, this book examines a corpus of Chinese PhD thesis acknowledgement texts in order to explore both the typical structure of the texts and their social function within the particular university setting as well as within a broader social context. The author uses stratified purposive sampling and semi-structured text-based interviews with PhD graduates, their supervisors and other acknowledgee representatives to gather data. Furthermore, PhD guidebooks, supervisors' CVs and graduates' publications have been collected. Three theoretical notions - communities of practice, audience and politeness - are drawn into account for the findings of the study. Besides uncovering several undocumented move patterns, the book offers insightful understanding of acknowledgement texts both as a part-genre of research writing as well as a window of the textual and social world of PhD graduates' chorus of gratitude. |
| computer science phd interview: The Mathematics of Love Hannah Fry, 2015-02-03 In this must-have for anyone who wants to better understand their love life, a mathematician pulls back the curtain and reveals the hidden patterns—from dating sites to divorce, sex to marriage—behind the rituals of love. The roller coaster of romance is hard to quantify; defining how lovers might feel from a set of simple equations is impossible. But that doesn’t mean that mathematics isn’t a crucial tool for understanding love. Love, like most things in life, is full of patterns. And mathematics is ultimately the study of patterns—from predicting the weather to the fluctuations of the stock market, the movement of planets or the growth of cities. These patterns twist and turn and warp and evolve just as the rituals of love do. In The Mathematics of Love, Dr. Hannah Fry takes the reader on a fascinating journey through the patterns that define our love lives, applying mathematical formulas to the most common yet complex questions pertaining to love: What’s the chance of finding love? What’s the probability that it will last? How do online dating algorithms work, exactly? Can game theory help us decide who to approach in a bar? At what point in your dating life should you settle down? From evaluating the best strategies for online dating to defining the nebulous concept of beauty, Dr. Fry proves—with great insight, wit, and fun—that math is a surprisingly useful tool to negotiate the complicated, often baffling, sometimes infuriating, always interesting, mysteries of love. |
| computer science phd interview: Find Your Path Daniel Goodman, 2019-12-03 Scientists offer personal accounts of the challenges, struggles, successes, U-turns, and satisfactions encountered in their careers in industry, academia, and government. This insightful book offers essential life and career lessons for newly minted STEM graduates and those seeking a career change. Thirty-six leading scientists and engineers (including two Nobel Prize winners) describe the challenges, struggles, successes, satisfactions, and U-turns encountered as they established their careers. Readers learn that there are professional possibilities beyond academia, as contributors describe the paths that took them into private industry and government as well as to college and university campuses. They discuss their varying preferences for solitary research or collaborative teamwork; their attempts to achieve work-life balance; and unplanned changes in direction that resulted in a more satisfying career. Women describe confronting overt sexism and institutional gender bias; scientists of color describe the experience of being outsiders in their field. One scientist moves from startup to startup, enjoying a career of serial challenges; another spends decades at one university; another has worked in academia, industry, and government. Some followed in the footsteps of parents; others were the first in their family to go to college. Many have changed fields, switched subjects, or left established organizations for something new. Taken together, these essays make it clear that there is not one path to a profession in science, but many. Contributors Stephon Alexander, Norman Augustine, Wanda Austin, Kimberly Budil, Wendy Cieslak, Jay Davis, Tamara Doering, Stephen D. Fantone, Kathleen Fisher, David Galas, Kathy Gisser, Sandra Glucksmann, Daniel Goodman, Renee Horton, Richard Lethin, Christopher Loose, John Mather, Richard Miles, Paul Nielsen, Michael O'Hanlon, Deirdre Olynick, Jennifer Park, Ellen Pawlikowski, Ethan Perlstein, Richard Post, William Press, Beth Reid, Jennifer Roberts, Jessica Seeliger, David Spergel, Ellen Stofan, Daniel Theobald, Shirley Tilghman, Jami Valentine, Z. Jane Wang, Rainer Weiss |
| computer science phd interview: Digital Minimalism Cal Newport, 2019-02-05 A New York Times, Wall Street Journal, Publishers Weekly, and USA Today bestseller Newport is making a bid to be the Marie Kondo of technology: someone with an actual plan for helping you realize the digital pursuits that do, and don't, bring value to your life.--Ezra Klein, Vox Minimalism is the art of knowing how much is just enough. Digital minimalism applies this idea to our personal technology. It's the key to living a focused life in an increasingly noisy world. In this timely and enlightening book, the bestselling author of Deep Work introduces a philosophy for technology use that has already improved countless lives. Digital minimalists are all around us. They're the calm, happy people who can hold long conversations without furtive glances at their phones. They can get lost in a good book, a woodworking project, or a leisurely morning run. They can have fun with friends and family without the obsessive urge to document the experience. They stay informed about the news of the day, but don't feel overwhelmed by it. They don't experience fear of missing out because they already know which activities provide them meaning and satisfaction. Now, Newport gives us a name for this quiet movement, and makes a persuasive case for its urgency in our tech-saturated world. Common sense tips, like turning off notifications, or occasional rituals like observing a digital sabbath, don't go far enough in helping us take back control of our technological lives, and attempts to unplug completely are complicated by the demands of family, friends and work. What we need instead is a thoughtful method to decide what tools to use, for what purposes, and under what conditions. Drawing on a diverse array of real-life examples, from Amish farmers to harried parents to Silicon Valley programmers, Newport identifies the common practices of digital minimalists and the ideas that underpin them. He shows how digital minimalists are rethinking their relationship to social media, rediscovering the pleasures of the offline world, and reconnecting with their inner selves through regular periods of solitude. He then shares strategies for integrating these practices into your life, starting with a thirty-day digital declutter process that has already helped thousands feel less overwhelmed and more in control. Technology is intrinsically neither good nor bad. The key is using it to support your goals and values, rather than letting it use you. This book shows the way. |
| computer science phd interview: Programming Behavioral Experiments with MATLAB and Psychtoolbox Erman Misirlisoy, 2016-11-10 Human behavior is fascinating so it’s no surprise that psychologists and neuroscientists spend their lives designing rigorous experiments to understand it. MATLAB is one of the most widely used pieces of software for designing and running behavioral experiments, and it opens up a world of quick and flexible experiment programming. This book offers a step-by-step guide to using MATLAB with Psychtoolbox to create customisable experiments. Its pocket size and simple language allow you to get straight to the point and help you to learn fast in order to complete your work in great time. In nine simple steps, it guides you all the way from setting parameters for your experiment to analysing the output. Gone are the daunting days of working through hundreds of irrelevant and complicated documents, as in this handy book, Erman Misirlisoy coaxes you in the right direction with his friendly and encouraging tricks and tips. If you want to learn how to develop your own experiments to collect and analyse behavioral data, then this book is a must-read. Whether you are a student in experimental psychology, a researcher in cognitive neuroscience, or simply someone who wants to run behavioral tasks on your friends for fun, this book will offer you the skills to succeed. |
| computer science phd interview: Privilege and Diversity in the Academy Frances A. Maher, Mary Kay Thompson Tetreault, 2013-10-18 Over the past several decades, higher education has been transformed by the entry of faculty of color and women into the university system. Through detailed institutional ethnographies of three very different universities, Privilege and Diversity in the Academy explores how this diversification has dismantled and reconfigured relationships of privilege and diversity in higher education. Authors Maher and Tetreault use examples from a top-ranked private university, a comprehensive urban university, and a major public university to illustrate how privilege is enacted, resisted, and transformed as changes occur in the student bodies and faculties of these schools. In their analyses, they identify the institutional structures that facilitate the success of a diverse faculty and make valuable observations about patterns of institutional change and resistance. |
| computer science phd interview: The Black PhD Experience William Ackah, Jacqueline Darkwa, Wayne A. Mitchell, De-Shaine Murray, Madina Wane, 2024-09-10 This unique book charts the journeys of Black doctoral students through UK higher education. Using powerful firsthand accounts, the book details the experiences of Black PhD students. From application through to graduation and beyond, the book offers key insights into the workings of higher education, highlighting the structural barriers that impede progress. Challenges and recommendations are issued for the sector and wider community. This text is a witness to the tenacity and brilliance of Black students to achieve against the odds. A game changer for the sector. Essential reading for anyone interested in equity and inclusion in higher education. |
| computer science phd interview: Graduate Programs in Engineering & Applied Sciences 2011 (Grad 5) Peterson's, 2011-05-01 Peterson's Graduate Programs in Engineering & Applied Sciences contains a wealth of information on colleges and universities that offer graduate degrees in the fields of Aerospace/Aeronautical Engineering; Agricultural Engineering & Bioengineering; Architectural Engineering, Biomedical Engineering & Biotechnology; Chemical Engineering; Civil & Environmental Engineering; Computer Science & Information Technology; Electrical & Computer Engineering; Energy & Power engineering; Engineering Design; Engineering Physics; Geological, Mineral/Mining, and Petroleum Engineering; Industrial Engineering; Management of Engineering & Technology; Materials Sciences & Engineering; Mechanical Engineering & Mechanics; Ocean Engineering; Paper & Textile Engineering; and Telecommunications. 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. As an added bonus, readers will find a helpful See Close-Up link to in-depth program descriptions written by some of these institutions. These Close-Ups offer detailed information about the specific program or department, faculty members and their research, and links to the program Web site. In addition, there are valuable articles on financial assistance and support at the graduate level and the graduate admissions process, with special advice for international and minority students. Another article discusses important facts about accreditation and provides a current list of accrediting agencies. |
| computer science phd interview: Counterrevolution in China Thomas A. Marks, 2016-02-17 This ground-breaking book spans 60 years of modern Chinese history from the much neglected non-communist perspective. Concentrating on Wang Sheng's career in relation to Chiang Kai-Shek's extraordinary son Chiang Ching-Kuo, it shows that the KMT were perfecting the methods that were to make Taiwan an East Asian Tiger' economy at the very point that they lost' the mainland. The book also provides a fascinating insight into Taiwan's efforts to aid South Vietnam and Cambodia from 1960 as the Indochina war unfolded. |
| computer science phd interview: Computing with New Resources Cristian S. Calude, Rūsiņš Freivalds, Iwama Kazuo, 2014-12-09 Professor Jozef Gruska is a well known computer scientist for his many and broad results. He was the father of theoretical computer science research in Czechoslovakia and among the first Slovak programmers in the early 1960s. Jozef Gruska introduced the descriptional complexity of grammars, automata, and languages, and is one of the pioneers of parallel (systolic) automata. His other main research interests include parallel systems and automata, as well as quantum information processing, transmission, and cryptography. He is co-founder of four regular series of conferences in informatics and two in quantum information processing and the Founding Chair (1989-96) of the IFIP Specialist Group on Foundations of Computer Science. |
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