Advertisement
| data science minor usc: Careers in Information Science Louise Schultz, 1963 Presents copy for use as a reference brochure and a giveaway sheet to be distributed to guidance counselors to help them direct young people into the growing field of Information Science. Sets forth that Information Science is concerned with the properties, behavior, and flow of information. Describes how it is used, both by individuals and in large systems. Discusses the opportunities in Information Science and outlines three relatively different career areas: (1) Special Librarianship; (2) Literature Analysis; and (3) Information System Design. Details an educational program appropriate for participation in these career areas. Concludes that Information Science is a new but rapidly growing field pushing the frontiers of human knowledge and, thus, contributing to human well-being and progress. (Author). |
| data science minor usc: Lifestyle Redesign , 2015 |
| data science minor usc: Mathematical Foundations of Infinite-Dimensional Statistical Models Evarist Giné, Richard Nickl, 2021-03-25 In nonparametric and high-dimensional statistical models, the classical Gauss–Fisher–Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, approximation and wavelet theory, and the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In a final chapter the theory of adaptive inference in nonparametric models is developed, including Lepski's method, wavelet thresholding, and adaptive inference for self-similar functions. Winner of the 2017 PROSE Award for Mathematics. |
| data science minor usc: Web Technologies and Applications Weihong Han, Zi Huang, Changjun Hu, Hongli Zhang, Li Guo, 2014-08-15 This book constitutes the refereed proceedings of the workshops held at the 16th Asia-Pacific Web Conference, APWeb 2014, in Changsha, China, in September 2014. The 34 full papers were carefully reviewed and selected from 59 submissions. This volume presents the papers that have been accepted for the following workshops: First International Workshop on Social Network Analysis, SNA 2014; First International Workshop on Network and Information Security, NIS 2014; First International Workshop on Internet of Things Search, IoTS 2014. The papers cover various issues in social network analysis, security and information retrieval against the heterogeneous big data. |
| data science minor usc: Strategies to Combat Homelessness , 2000 |
| data science minor usc: Starstruck Elizabeth Currid-Halkett, 2010-11-09 The author of The Warhol Economy asks how does celebrity work and why do we care about some people more than others? What is celebrity? Why is it such a dominant force in our culture? And why do we seem preoccupied with it now more than ever? Celebrity—our collective fascination with particular people—is everywhere and takes many forms, from the sports star, notorious Wall Street tycoon, or film icon, to the hometown quarterback, YouTube sensation, or friend who compulsively documents his life on the Internet. We follow with rapt attention all the minute details of stars' lives: their romances, their spending habits, even how they drink their coffee. For those anointed, celebrity can translate into big business and top social status, but why do some attain stardom while millions of others do not? Why are we simply more interested in certain people? Elizabeth Currid-Halkett presents the first rigorous exploration of celebrity, arguing that our desire to celebrate some people and not others has profound implications, elevating social statuses, making or breaking careers and companies, and generating astronomical dividends. Tracing the phenomenon from the art world to tabletop gaming conventions to the film industry, Currid-Halkett looks at celebrity as an expression of economics, geography (both real and virtual), and networking strategies. Starstruck brings together extensive statistical research and analysis, along with interviews with top agents and publicists, YouTube executives, major art dealers and gallery directors, Bollywood players, and sports experts. Laying out the enormous impact of the celebrity industry and identifying the patterns by which individuals become stars, Currid-Halkett successfully makes the argument that celebrity is an important social phenomenon and a driving force in the worldwide economy. |
| data science minor usc: Ranked Set Sampling Munir Ahmad, M. Hanif, Hassen A. Muttlak, 2010-09-13 Ranked Set Sampling is one of the new areas of study in this region of the world and is a growing subject of research. Recently, researchers have paid attention to the development of the types of sampling; though it was not welcome in the beginning, it has numerous advantages over the classical sampling techniques. Ranked Set Sampling is doubly random and can be used in any survey designs. The Pakistan Journal of Statistics had attracted statisticians and samplers around the world to write up aspects of Ranked Set Sampling. All of the essays in this book have been reviewed by many critics. This volume can be used as a reference book for postgraduate students in economics, social sciences, medical and biological sciences, and statistics. The subject is still a hot topic for MPhil and PhD students for their dissertations. |
| data science minor usc: Smarter Data Science Neal Fishman, Cole Stryker, 2020-04-14 Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations. |
| data science minor usc: Strengthening Deep Neural Networks Katy Warr, 2019-07-03 As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately fool them with data that wouldn’t trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs—the algorithms intrinsic to much of AI—are used daily to process image, audio, and video data. Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you’re a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you. Delve into DNNs and discover how they could be tricked by adversarial input Investigate methods used to generate adversarial input capable of fooling DNNs Explore real-world scenarios and model the adversarial threat Evaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial data Examine some ways in which AI might become better at mimicking human perception in years to come |
| data science minor usc: Deep Learning and Its Applications Arvind Kumar Tiwari, 2021 In just the past five years, deep learning has taken the world by surprise, driving rapid progress in fields as diverse as computer vision, natural language processing, automatic speech recognition, etc. This book presents an introduction to deep learning and various applications of deep learning such as recommendation systems, text recognition, diabetic retinopathy prediction of breast cancer, prediction of epilepsy, sentiment, fake news detection, software defect prediction and protein function prediction-- |
| data science minor usc: Handbook of Mathematical Fluid Dynamics S. Friedlander, D. Serre, 2003-03-27 The Handbook of Mathematical Fluid Dynamics is a compendium of essays that provides a survey of the major topics in the subject. Each article traces developments, surveys the results of the past decade, discusses the current state of knowledge and presents major future directions and open problems. Extensive bibliographic material is provided. The book is intended to be useful both to experts in the field and to mathematicians and other scientists who wish to learn about or begin research in mathematical fluid dynamics. The Handbook illuminates an exciting subject that involves rigorous mathematical theory applied to an important physical problem, namely the motion of fluids. |
| data science minor usc: Artificial Intelligence in Society OECD, 2019-06-11 The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises. |
| data science minor usc: Combining Neuro-developmental Treatment and Sensory Integration Principles Erna I. Blanche, 1995 |
| data science minor usc: Improving Homeland Security Decisions Ali E. Abbas, Ali El-Sayed Abbas, Milind Tambe, Detlof von Winterfeldt, 2017-11-02 Are we safer from terrorism today and is our homeland security money well spent? This book offers answers and more. |
| data science minor usc: Valuepack Thomas Connolly, 2005-08-01 |
| data science minor usc: The Birds of America John James Audubon, 1842 This edition has 65 new images, making a total of 500. The original configurations were altered so that there is only one species per plate. The text is a revision of the Ornithological Biography, rearranged according to Audubon's Synopsis of the Birds of North America (1839). |
| data science minor usc: Generative Deep Learning David Foster, 2019-06-28 Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN |
| data science minor usc: Heroes and Scoundrels Matthew C. Ehrlich, Joe Saltzman, 2015-03-15 Whether it's the rule-defying lifer, the sharp-witted female newshound, or the irascible editor in chief, journalists in popular culture have shaped our views of the press and its role in a free society since mass culture arose over a century ago. Drawing on portrayals of journalists in television, film, radio, novels, comics, plays, and other media, Matthew C. Ehrlich and Joe Saltzman survey how popular media has depicted the profession across time. Their creative use of media artifacts provides thought-provoking forays into such fundamental issues as how pop culture mythologizes and demythologizes key events in journalism history and how it confronts issues of race, gender, and sexual orientation on the job. From Network to The Wire, from Lois Lane to Mikael Blomkvist, Heroes and Scoundrels reveals how portrayals of journalism's relationship to history, professionalism, power, image, and war influence our thinking and the very practice of democracy. |
| data science minor usc: Symplectic Geometry And Mirror Symmetry - Proceedings Of The 4th Kias Annual International Conference Kenji Fukaya, Yong Geun Oh, K Ono, Gang Tian, 2001-11-19 In 1993, M Kontsevich proposed a conceptual framework for explaining the phenomenon of mirror symmetry. Mirror symmetry had been discovered by physicists in string theory as a duality between families of three-dimensional Calabi-Yau manifolds. Kontsevich's proposal uses Fukaya's construction of the A∞-category of Lagrangian submanifolds on the symplectic side and the derived category of coherent sheaves on the complex side. The theory of mirror symmetry was further enhanced by physicists in the language of D-branes and also by Strominger-Yau-Zaslow in the geometric set-up of (special) Lagrangian torus fibrations. It rapidly expanded its scope across from geometry, topology, algebra to physics.In this volume, leading experts in the field explore recent developments in relation to homological mirror symmetry, Floer theory, D-branes and Gromov-Witten invariants. Kontsevich-Soibelman describe their solution to the mirror conjecture on the abelian variety based on the deformation theory of A∞-categories, and Ohta describes recent work on the Lagrangian intersection Floer theory by Fukaya-Oh-Ohta-Ono which takes an important step towards a rigorous construction of the A∞-category. There follow a number of contributions on the homological mirror symmetry, D-branes and the Gromov-Witten invariants, e.g. Getzler shows how the Toda conjecture follows from recent work of Givental, Okounkov and Pandharipande. This volume provides a timely presentation of the important developments of recent years in this rapidly growing field. |
| data science minor usc: Never Make the Same Mistake Once Robert B. Leach, 2011 A tribute to the wisdom and teachings of USC baseball coach, Rod Dedeaux. |
| data science minor usc: The American Research University from World War II to World Wide Web Charles M. Vest, 2007-06-01 Forty years after Clark Kerr coined the term multiversity, the American research university has continued to evolve into a complex force for social and economic good. This volume provides a unique opportunity to explore the current state of the research university system. Charles M. Vest, one of the leading advocates for autonomy for American higher education, offers a multifaceted view of the university at the beginning of a new century. With a complex mission and funding structure, the university finds its international openness challenged by new security concerns and its ability to contribute to worldwide opportunity through sharing and collaboration dramatically expanded by the Internet. In particular, Vest addresses the need to nurture broad access to our universities and stay true to the fundamental mission of creating opportunity. |
| data science minor usc: Practical Fairness Aileen Nielsen, 2020-12-01 Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective. |
| data science minor usc: Guide to Protecting the Confidentiality of Personally Identifiable Information Erika McCallister, 2010-09 The escalation of security breaches involving personally identifiable information (PII) has contributed to the loss of millions of records over the past few years. Breaches involving PII are hazardous to both individuals and org. Individual harms may include identity theft, embarrassment, or blackmail. Organ. harms may include a loss of public trust, legal liability, or remediation costs. To protect the confidentiality of PII, org. should use a risk-based approach. This report provides guidelines for a risk-based approach to protecting the confidentiality of PII. The recommend. here are intended primarily for U.S. Fed. gov¿t. agencies and those who conduct business on behalf of the agencies, but other org. may find portions of the publication useful. |
| data science minor usc: Tax Politics and Policy Michael Thom, 2017-02-03 Taxes are an inescapable part of life. They are perhaps the most economically consequential aspect of the relationship between individuals and their government. Understanding tax development and implementation, not to mention the political forces involved, is critical to fully appreciating and critiquing that relationship. Tax Politics and Policy offers a comprehensive survey of taxation in the United States. It explores competing theories of taxation’s role in civil society; investigates the evolution and impact of taxes on income, consumption, and assets; and highlights the role of interest groups in tax policy. This is the first book to include a separate look at sin taxes on tobacco, alcohol, marijuana, and sugar. The book concludes with a look at tax reform ideas, both old and new. This book is written for a broad audience—from upper-level undergraduates to graduate students in public policy, public administration, political science, economics, and related fields—and anyone else that has ever paid taxes. |
| data science minor usc: Managing Diversity Michalle E. Mor Barak, 2016-09-22 Winner of the George R. Terry Book Award from Academy of Management and the Outstanding Academic Title Award from CHOICE Magazine Successful management of our increasingly diverse workforce is one of the most important challenges facing organizations today. In the Fourth Edition of her award-winning text, Managing Diversity, author Michàlle E. Mor Barak argues that inclusion is the key to unleashing the potential embedded in a multicultural workforce. This thoroughly updated new edition includes the latest research, statistics, policy, and case examples. A new chapter on inclusive leadership explores the diversity paradox and unpacks how leaders can leverage diversity to increase innovation and creativity for competitive advantage. A new chapter devoted to “Practical Steps for Creating an Inclusive Workplace” presents a four-stage intervention and implementation model with accompanying scales that can been used to assess inclusion in the workplace, making this the most practical edition ever. |
| data science minor usc: Immigrants and Boomers Dowell Myers, 2007-02-22 This story of hope for both immigrants and native-born Americans is a well-researched, insightful, and illuminating study that provides compelling evidence to support a policy of homegrown human investment as a new priority. A timely, valuable addition to demographic and immigration studies. Highly recommended. —Choice Virtually unnoticed in the contentious national debate over immigration is the significant demographic change about to occur as the first wave of the Baby Boom generation retires, slowly draining the workforce and straining the federal budget to the breaking point. In this forward-looking new book, noted demographer Dowell Myers proposes a new way of thinking about the influx of immigrants and the impending retirement of the Baby Boomers. Myers argues that each of these two powerful demographic shifts may hold the keys to resolving the problems presented by the other. Immigrants and Boomers looks to California as a bellwether state—where whites are no longer a majority of the population and represent just a third of residents under age twenty—to afford us a glimpse into the future impact of immigration on the rest of the nation. Myers opens with an examination of the roots of voter resistance to providing social services for immigrants. Drawing on detailed census data, Myers demonstrates that long-established immigrants have been far more successful than the public believes. Among the Latinos who make up the bulk of California's immigrant population, those who have lived in California for over a decade show high levels of social mobility and use of English, and 50 percent of Latino immigrants become homeowners after twenty years. The impressive progress made by immigrant families suggests they have the potential to pick up the slack from aging boomers over the next two decades. The mass retirement of the boomers will leave critical shortages in the educated workforce, while shrinking ranks of middle-class tax payers and driving up entitlement expenditures. In addition, as retirees sell off their housing assets, the prospect of a generational collapse in housing prices looms. Myers suggests that it is in the boomers' best interest to invest in the education and integration of immigrants and their children today in order to bolster the ranks of workers, taxpayers, and homeowners America they will depend on ten and twenty years from now. In this compelling, optimistic book, Myers calls for a new social contract between the older and younger generations, based on their mutual interests and the moral responsibility of each generation to provide for children and the elderly. Combining a rich scholarly perspective with keen insight into contemporary political dilemmas, Immigrants and Boomers creates a new framework for understanding the demographic challenges facing America and forging a national consensus to address them. |
| data science minor usc: Newgotiation For Public Administration Professionals Yann Duzert, Frank V Zerunyan, 2019-07-23 Newgotiation for Public Administration Professionals conveys practical tools for students, executives, public and private administrators, managers and professionals to improve performance and relationships in this highly competitive and global marketplace. While the book is oriented towards Public Administration Professionals, the principles taught inside can apply almost anywhere. As you'll soon discover, authors Yann Duzert, Ph.D. and Frank Zerunyan, J.D. have coined the term newgotiation to describe their methodological approach to negotiation. The groundbreaking Newgotiation process involves reframing negotiation practices around the principles of collaboration, building relationships, and gaining (and maintaining) trust--which provides the parties with a new, more effective way to negotiate. Inside, you'll learn all about the 4-10-10 Newgotiation technique. This innovative approach to negotiation teaches practitioners the skills to apply four simple steps to ten elements and ten indicators for implementation and evaluation. With this approach, the authors of this book have created a common negotiation process that can be used by anyone. The 4-10-10 Newgotiation technique was developed to be a unified dialect, helping both practitioners and organizations speak the same language. Each party to the Newgotiation process is encouraged to engage in moments of reflection alternating with moments of action, which is designed to end in a win/win for both parties. Newgotiation methodology is all about identifying the frame of the negotiation, potential problems, crafting solutions, and structuring value creation and value distribution based on organizational priorities. The Newgotiation technique is designed to improve: The Probability to close a better deal The Value of a deal by inventing The Productivity of a deal through collaboration With the knowledge gained in this book, you'll be in a better position to have more successful negotiation outcomes. The invaluable 4-10-10 Newgotiation technique will quickly have you negotiating your way to better deals, with many other benefits along the way. |
| data science minor usc: Occupational Science Ruth Zemke, Florence Clark, 1996-01-01 Occupational Science: The Evolving Discipline presents the most current and comprehensive information on the development of occupational science. This exciting resource offers stimulating ideas about occupation and its implications for health and occupational therapy practice. The papers in this book, most of which are from presentations at the Occupational Science Symposia, reflect an extensive range of perspectives. Presentations by Stephen Hawking, Jane Goodall, and Mary Catherine Bateson are included, as well as other invited and peer-reviewed presentations. In these papers, experienced scholars share their ideas, hypotheses, and preliminary research, tying together the theory behind the study of occupational science. Each section of the book begins with a detailed introduction in which Zemke and Clark describe the relationship of each paper to the study of occupational science. This unique text provides an understanding of occupation that will give therapists a heightened concern for those activities in which their patients invest their energies and time, a better understanding of how participation in occupation shapes self-identity, a way to identify the motivating factors for participation in occupation, and knowledge of how patients can enhance their life opportunities. |
| data science minor usc: Academic Advising Virginia N. Gordon, Wesley R. Habley, Thomas J. Grites, 2011-01-13 One of the challenges in higher education is helping students to achieve academic success while ensuring their personal and vocational needs are fulfilled. In this updated edition more than thirty experts offer their knowledge in what has become the most comprehensive, classic reference on academic advising. They explore the critical aspects of academic advising and provide insights for full-time advisors, counselors, and those who oversee student advising or have daily contact with advisors and students. New chapters on advising administration and collaboration with other campus services A new section on perspectives on advising including those of CEOs, CAOs (chief academic officers), and CSAOs (chief student affairs officers) More emphasis on two-year colleges and the importance of research to the future of academic advising New case studies demonstrate how advising practices have been put to use. |
| data science minor usc: Public Communication Campaigns Ronald E. Rice, Charles K. Atkin, 1989-06 In this new, fully revised and expanded Third Edition, Rice and Katz provide readers with a comprehensive, up-to-date look into the field of public communication campaigns. Largely rewritten to reflect the latest theories and research, this text continues in the tradition of ongoing improvement and expansion into new areas. This Third Edition contains several new features. First, an expanded sampler section including more recent, intriguing and controversial campaigns has been added. Second, more attention is given to specific practical implications and evaluation of campaigns, using examples from both AIDS and anti-drug campaigns. Third, the book's final section introduces a variety of recent campaign dimensions including community-oriented campaigns, entertainment-education campaigns, and Internet/Web-based campaigns.This volume will be a valuable resource for both students and researchers in the fields of communication, journalism, public relations, mass media, advertising, and public health programs. Copyright © Libri GmbH. All rights reserved. |
| data science minor usc: Beyond Standards Morgan Polikoff, 2021-05-11 Beyond Standards highlights the structural conditions that have undermined the success of the standards movement and challenges us to confront them. The book offers an impassioned argument about the ways that our decentralized educational systems undermine the pursuit of educational equity and excellence. Morgan Polikoff applies a wide array of quantitative and qualitative data to provide a pointed critique of the US educational system. He addresses why standards have failed, whether standards-based reform can be salvaged, and what we can do to improve teaching and learning at scale across America's 13,000 school districts. Polikoff argues that no amount of tinkering can fix standards. Rather, we need to tackle the big, structural issues, such as decentralization. The author identifies curriculum reform as a high-leverage strategy for making meaningful progress at scale and emphasizes that states need to play a greater role in evaluating and recommending high-quality curriculum materials. Beyond Standards proposes a new, progressive vision that emphasizes the central role of states in challenging the antiquated, segregating structures that have thwarted educational improvement. |
| data science minor usc: The Last Great Necessity David Charles Sloane, 1991 The Last Great Necessity is a quite wonderful, and often surprising, portrait of American popular culture in action. As David Charles Sloane traces the history of modern cemeteries he meets all the ambivalences and coping strategies Americans have used when they have been forced by nature to confront the meanings of their lives. - From Sam Bass Warner, Jr., Boston University. |
| data science minor usc: Occupational Science for Occupational Therapy Doris E. Pierce, 2014 Occupational Science for Occupational Therapy shows how different types of occupational science research support occupational therapy. The book is research based and moves firmly away from presenting theories and models that are unsupported by research within the field. The book regards occupational therapy as actively involved in producing a science highly responsive to its knowledge needs, instead of as a profession that consumes and applies research that is produced within other disciplines and for other purposes--Provided by publisher. |
| data science minor usc: The Colors of My Dreams Aahana Chowdhuri, 2019-10-27 Life is bittersweet. For every beautiful moment we experience, there are painful moments that follow. To gain some respite from these harsh moments, we turn to our dreams. We watch the colors of our dreams as they glide in our minds, painting pictures for us to observe and allowing us to reflect on our world. What do the colors of your dreams tell you?This solo debut is an anthology, a collection of several pieces and poems focusing on the world through a young girl's eyes. Some pieces are simple reflections of daily life as an adolescent, but others are powerful messages which bring in critical considerations of the way our society functions. The descriptive language found in The Colors of My Dreams highlights the experiences of Indian-American teen author Aahana Chowdhuri. Her words resonate with many aspects of life in the 21st century. Above all, the stories that she weaves remind us that we are all emotional human beings. |
| data science minor usc: Code of Federal Regulations , 1995 |
| data science minor usc: Principles and Practice in Second Language Acquisition Stephen D. Krashen, 1987 |
| data science minor usc: Ethical Practice of Statistics and Data Science Rochelle Tractenberg, 2023-11-25 Ethical Practice of Statistics and Data Science is intended to prepare people to fully assume their responsibilities to practice statistics and data science ethically. Aimed at early career professionals, practitioners, and mentors or supervisors of practitioners, the book supports the ethical practice of statistics and data science, with an emphasis on how to earn the designation of, and recognize, “the ethical practitioner”. The book features 47 case studies, each mapped to the Data Science Ethics Checklist (DSEC); Data Ethics Framework (DEFW); the American Statistical Association (ASA) Ethical Guidelines for Statistical Practice; and the Association of Computing Machinery (ACM) Code of Ethics. It is necessary reading for students enrolled in any data intensive program, including undergraduate or graduate degrees in (bio-)statistics, business/analytics, or data science. Managers, leaders, supervisors, and mentors who lead data-intensive teams in government, industry, or academia would also benefit greatly from this book. This is a companion volume to Ethical Reasoning For A Data-Centered World, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the ASA and ACM Ethical Guidelines/Code of Ethics. |
| data science minor usc: The Endangered Species Act Stanford Environmental Law Society, 2001 This handbook is a guide to the federal Endangered Species Act, the primary U.S. law aimed at protecting species of animals and plants from human threats to their survival. It is intended for lawyers, government agency employees, students, community activists, businesspeople, and any citizen who wants to understand the Act--its history, provisions, accomplishments, and failures. |
| data science minor usc: Importing Into the United States U. S. Customs and Border Protection, 2015-10-12 Explains process of importing goods into the U.S., including informed compliance, invoices, duty assessments, classification and value, marking requirements, etc. |
| data science minor usc: Federal Register , 2013-06 |
Data Science Program - University of Southern California
The GRIDS data science student association provides targeted tutorials and invited presentations from industry on practical applications. Undergraduate programs: • Bachelor of Arts in Data …
Programs - Undergraduate Education
University of Southern California USC Catalogue 2023-2024 Programs The programs marked with an asterisk fall under the jurisdiction of the Dornsife College of Letters, Arts and Sciences. ... • …
Math 446, Data Science with Python, Fall 2024 - web …
Course Content: Python implementations of: data collection, data wrangling, exploratory data analysis, dimensionality reduction, unsupervised / supervised learning, clustering, …
University of Southern California USC Catalogue 2022-2023
University of Southern California USC Catalogue 2022-2023 Programs, Minors and Certificates The programs marked with an asterisk fall under the jurisdiction of the Dornsife College of …
E ONOMIS & DATA SIENE, .S. - dornsife.usc.edu
complex calculations, create models, interpret data, identify patterns, and draw conclusions. With additional courses in computation, programming language, and data science, this degree …
DSCI 552: Machine Learning for Data Science - University of …
DSCI 552 is an intermediate-level course in the Data Science program. It focuses on practical applications of machine learning techniques to real-world problems.
Minor in Data Science - catalog.csusb.edu
The Data Science minor is designed to provide students with hands-on experience of the concepts and techniques used in data science, including statistical methodology and data …
Data Science Program - University of Southern California
We offer a comprehensive Master of Science in Applied Data Science program that enable students to learn about a range of topics in machine learning, distributed data systems, and the …
Computer Science Department Orientation - viterbigrad.usc.edu
We offer a large variety of courses covering many areas of computer science & we know you’re here to broaden your knowledge of computer science. Plan your classes by referring to the …
Economics & Data Science, B.S. - USC Dornsife
THIS PLAN IS BASED ON THE 2023-2024 USC CATALOGUE AND MAY VARY ACCORDING TO TRANSFER CREDITS, DORNSIFE UNITS, PRE-PROFESSIONAL GOALS, AND OTHER …
Applied Analytics - University of Southern California
Learn to work as a data analyst using state-of-the-art tools. All minors at USC need 16 units that only meet minor requirements and do not meet any other major, minor, or GE requirement. All …
DSCI 599: Data Science for Business, Economics, and Society
Applications of data science and machine learning techniques for solving business, economic, and societal problems, including marketing, econometrics, education, public safety, healthcare, …
DSCI 552: Machine Learning for Data Science - University of …
DSCI 552 is an intermediate-level course in the Data Science program. It focuses on practical applications of machine learning techniques to real-world problems. During this course, you will …
2024 Data Analytics Major Map - University of South Carolina
Minor: Students in the Data Analytics B.S. must complete a minor of at least 18 hours. In lieu of a minor, an additional major may be added to a student’s program of study. A second major …
DSCI 549: Introduction to Computational Thinking and Data …
Topics include foundations for data analysis, visualization, parallel processing, metadata, prove-nance, and data stewardship. This course will teach non-programmers to think in computing …
PROGRESSIVE DEGREE PROGRAM COURSE PLAN TEMPLATE
training in computer science will first learn the basics of data science, including data formats, tools and techniques. They learn how to build data processing programs in Python, and they will …
Marshall Undergraduate Business Administration Majors
Data Science (4) ECON 352x. Macroeconomics for Business (4) ... BUAD 281. Managerial. Accounting (3) BUAD 311. Operations Management (4) BUAD 497. Strategic Management (4) …
USC VITERBI SCHOOL OF ENGINEERING INFORMATICS …
an overview course to give undergraduate students a broad understanding of Informatics topics, i.e., basic concepts and applications of Informatics. Topics include data representation and …
DSCI 510: Principles of Programming for Data Science (4 units)
Introductory programming course for non-Computer Science majors. Programming in Python for retrieving, searching, and analyzing data from the Web. Learning to manipulate large data sets.
DATA SCIENCE PROGRAM DSCI 510: Principles of …
Introductory programming course for non-Computer Science majors. Programming in Python for retrieving, searching, and analyzing data from the Web. Learning to manipulate large data sets.
UG Handbook 20203 rev1 - University of Southern California
2 revised 8/15/20 degree progress and graduation 24 stars reports 24 degree checks 24 graduation 24 beyond graduation 25 career services 25 progressive degree program 25 …
UNDERGRADUATE MINORS - cinemadev.cntv.usc.edu
The minor in science visualization offers an introduction to science visualization methodology and practice focused in an area of relevant research. The minor is structured to provide the skills …
DSCI 552: Machine Learning for Data Science (Fall 2024)
DSCI 552: Machine Learning for Data Science (Fall 2024) Units: 4 Instructor: Mohammad Reza Rajati, PhD PHE 412 rajati@usc.edu– Include DSCI 552 in subject. ... Instances will be …
UU SS ACTV MAJORS 8.27.19 - University of Utah
BIOLBS Biology BS USC Science CHEMMS Chemistry MS GSCGR Science BIOLBS.T Biology Tchg BS USC Science CHEMMS.T Chemistry (Teaching) MS GSCGR Science BIOLHBA …
USC DSCIViterbi School of Engineering
techniques; data modeling; network attached storage, clusters and data centers; relational databases; the map-reduce paradigm. B. Expanded Course Description This course is one of …
DSCI 552: Machine Learning for Data Science (Fall 2020)
DSCI 552: Machine Learning for Data Science (Fall 2020) Units: 4 Instructor: Mohammad Reza Rajati, PhD PHE 412 rajati@usc.edu{ Include DSCI 552 in subject O ce Hours: By …
Applied Analytics - University of Southern California
envelopeitpadvising@usc.edu globeitp.usc.edu calendar-altSchedule appointment Use databases, statistics, and data visualization tools to query, analyze, forecast, and share …
Program Learning Objectives - University of Southern California
data science, designing data analyses with statistical methods, applying machine learning and data mining techniques, designing effective visualizations, and working in multi- disciplinary …
Economics & Data Science, B.S. - USC Dornsife
this plan is based on the 2023-2024 usc catalogue a nd may vary according to transfer credits, dornsife units, pre -professional goals, and other factors. admission requirements may apply. …
DATA SCIENCE PROGRAM DSCI 560: Data Science …
Student teams working on external customer data analytic challenges; project/presentation based; real client data, and implementable solutions for delivery to actual stakeholders; capstone to …
Kinesiology - cataloguepubs.usc.edu
as well as for graduation from USC. Minor in Kinesiology For students who would like to obtain basic knowledge of kinesiology but are majoring in another area, a minor in this field is offered. …
DSO 599 – Hands-on Data Analytics and Machine Learning in …
Email: sudibhat@marshall.usc.edu. COURSE DESCRIPTION This introductory course is intended for students interested in pursuing a career in data science, ML, and AI. The course enables …
University of Southern California Catalogue 2022–2023
University of Southern California Catalogue 2022–2023 University of Southern California University Park Campus Los Angeles, CA 90089
Program Learning Objectives - University of Southern California
Master of Science in Applied Data Science Program Learning Objectives The USC Viterbi School of Engineering Master of Science in Applied Data Science will train students as data scientists. …
Data Science Minor - University of North Carolina at Chapel …
Data Science Minor 1 DATA SCIENCE MINOR Overview The data science minor at Carolina is a multidisciplinary program launched in fall 2021 and offered by the College of Arts & Sciences. …
PROGRESSIVE MASTER’S DEGREE PROGRAM COURSE PLAN …
The USC Marshall MSBA program is a data science STEM program with a business lens. It is one of the longest running MSBA programs in the nation, and top ranking in the world. The …
Computer Science Minor Usc - archive.ncarb.org
Computer Science Minor Usc: ... Omaha Data Center,1981 Describes mini courses in computer science offered to UNO faculty staff and students Future U.S. Workforce for Geospatial …
DSCI 549: Introduction to Computational Thinking and …
DSCI 549: Introduction to Computational Thinking and Data Science 32430D — Fall 2021 Instructors Information Name: Deborah Khider Email: khider@usc.edu Office Hours: M-W - …
DSCI 564: Probability and Statistics for Data Science (Fall 2023)
7. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, 1st Edition Authors: Bradly Efron and Trevor Hastie; Cambridge University Press, 2016. ISBN-13: 978 …
Tuition & Fees for 32-Unit Master’s of Science Programs
This information is for engineering/computer science Master of Science programs offered by the USC Viterbi School of Engineering requiring the successful completion of a minimum of 32 …
DSO 565 – Supply Chain Analytics– Spring 2021
incomplete. With the advancement and adoption of Business Analytics, Data Science, and Artificial Intelligence, data-driven decision making has become the modern approach of supply …
SSCI 575, Spatial Data Science - University of Southern …
%PDF-1.7 %µµµµ 1 0 obj >/Metadata 701 0 R/ViewerPreferences 702 0 R>> endobj 2 0 obj > endobj 3 0 obj >/ExtGState >/XObject >/ProcSet[/PDF/Text/ImageB/ImageC ...
Business Finance Minor Usc Full PDF - old.icapgen.org
Business Finance Minor Usc Richard Schaffer,Filiberto Agusti,Lucien J. Dhooge. ... field term but when this is done the problem is reduced to a control problem Careers in Information Science …
DSCI 552: Machine Learning for Data Science (Spring 2022)
DSCI 552: Machine Learning for Data Science (Spring 2022) Units: 4 Instructor: Mohammad Reza Rajati, PhD PHE 412 rajati@usc.edu{ Include DSCI 552 in subject O ce Hours: TBD …
DORNSIFE COLLEGE
The USC Dornsife College will challenge you in ... Political Science with a minor in Law and Public Policy Campus Involvement: Latino Alumni Association, Caruso Catholic Center, Phi Alpha ...
Computer Science Minor Usc Copy - archive.ncarb.org
Computer Science Minor Usc: ... Omaha Data Center,1981 Describes mini courses in computer science offered to UNO faculty staff and students Future U.S. Workforce for Geospatial …
DATA SCIENCES AND OPERATIONS - University of Southern …
May 3, 2022 · Lmartin1@marshall.usc.edu This course is designed to acquire the fundamentals of sports performance analytics. It provides a ... science data protocol implemented in pro sports …
DSCI-565: Introduction to Deep Learning for Data Science …
Pre-requisites for this course are DSCI 510 (Priciples of Programming for Data Science) and DSCI 552 (Machine Learning for Data Science). Readings. The textbook for the course is: …
Economics 570: Big Data Econometrics Fall 2023 Instructor: …
Email: yuehao.bai@usc.edu Office Hours: [TBA] TA: [TBA] Office Hours: [TBA] Course Time and Location: Tuesday, 4pm-6:50pm, Leavey Library 17 Course Webpage: Blackboard ... BDS …
Curriculum Vitae C - priceschool.usc.edu
sanazdab@usc.edu . EDUCATION . Howard University - DC - Ph.D., Neuropsychology – Fall, 2018 – Dec, 2022 . Minor in Statistics . GPA 4.0 . University of South Florida - Sarasota, FL - …
Biological Sciences - USC Dornsife
• Describe the relationship between major(s) and minor(s) and how they can assist in achieving future goals ... Grades - usc.edu/grades - Information about grading policies and procedures …
Syllabus - University of Southern California
The elements of statistical learning: Data mining, inference, and prediction. Berlin, Germany: Springer Science & Business Media. Official Link to PDF • Haining, R.P. (2003). Spatial data …
DSCI 599: Optimization Techniques for Data Science
DSCI 599: Optimization Techniques for Data Science Units: 4 Spring 2024 – Fridays – 2:00-5:20pm Location: VHE 210 Instructor: Satish Kumar Thittamaranahalli Office: TBD Office …
PROGRESSIVE DEGREE PROGRAM COURSE PLAN TEMPLATE
USC SCHOOL . ACADEMIC DEPARTMENT . GRADUATE PROGRAM . POST CODE . TERM EFFECTIVE DATE . PROGRAM DESCRIPTION . ... BUAD 312 Statistics and Data Science …
ECON 570: Big Data Econometrics - web-app.usc.edu
ECON 570: Big Data Econometrics . Course Information . Time and Location: Monday, Wednesday: 2:00 - 3:20 pm . Location: THH 202 . Instructor: Dong Woo Hahm …
DSCI 510: Principles of Programming for Data Science (4 …
DATA SCIENCE PROGRAM DSCI 510: Principles of Programming for Data Science (4 units) Term-Day-Time Fall 2021- Lecture: Wednesday, 12:00-1:20pm Fall 2021- Lab: Wednesday, …
Program Learning Objectives - University of Southern California
Communication Data Science program will learn a range of data science skills such as developing scalable data systems, using state-of-the-art software and infrastructure for data science, …
Business Analytics with Python - University of Southern …
USC Marshall, Data Science and Operations DSO 459: Business Analytics with Python Spring 2022 - 4.0 Units Instructor: Austin Pollok Time: T/Th 4-5:50pm E-mail: pollok@usc.edu Room: …
Computer Science Minor Usc (PDF) - ncarb.swapps.dev
Computer Science Minor Usc: Careers in Information Science Louise Schultz,1963 Presents copy for use as a reference brochure and a giveaway sheet ... Data Center,1981 Describes mini …
Bachelor of Science Your Four Year Plan Psychology
Science degree in Psychology, as well as a Master of Science degree program in Applied Clinical Psychology. The mission of the USC Aiken Department of Psychology program is to educate …
Program Learning Objectives - University of Southern California
USC students enrolled in the USC Viterbi School of Engineering Master of Science in Environmental Data Science program will learn a range of data science skills such as …
PROGRESSIVE MASTER’S DEGREE PROGRAM COURSE PLAN …
The statistics course can be taken at USC, taken as part of a USC-approved study abroad program, transferred to USC, or AP statistics if and only if college credit was granted. Some …
DSCI 599: Data Science for Business, Economics, and Society
Econometrics and data science: Apply data science techniques to model complex problems and implement solutions for economic problems. Apress, 2021. (ISBN-13: 978-1484274330. …
PM 566 Introduction to Health Data Science - University of …
PM 566 Introduction to Health Data Science Course Description This course serves as an introduction to data science with focus on the acquisition and analysis of real-life data. …
BME 527: Integration of Medical Imaging Systems Fall 2016
BME 527: Integration of Medical Imaging Systems Fall 2016 1. Basic Course Information Course name Integration of Medical Imaging Systems Units 3.0 Place and time OHE 100B; (Fri, 9:00 …
PROGRESSIVE DEGREE PROGRAM COURSE PLAN TEMPLATE
USC SCHOOL . ACADEMIC DEPARTMENT . GRADUATE PROGRAM . POST CODE . TERM EFFECTIVE DATE . PROGRAM DESCRIPTION . ... BUAD 312 Statistics and Data Science …
Syllabus: DSCI 510 Principles of Programming for Data Science
Aug 22, 2023 · searching and retrieving data, working with (large) data sets, analyzing data and visualizing the results. Specifically, students that successfully complete this course will …
LectureFri-9AM-10:50AM Fall2023Wed-6:30PM-8:20PM …
3. Contacttheinstructorinadvanceifunabletokeepthecameraonduringsynchronoussessions. 4. Activelyparticipateandengageindiscussions. 5. Usehand ...
BUAD 312g – Statistics and Data Science for Business …
BUAD 312g – Statistics and Data Science for Business Course Description Harnessing the power of data has become an essential skill to be successful in business. This course is designed to …
Nicole Marie-Gerardi Maccalla - rossierapps.usc.edu
Education, University of Southern California (USC), 2014 – Present • Taught in the following programs: Educational Leadership Program (ELP resulting in Ed.D.), Organizational Change …
