Good researchers have a host of tools at their disposal that make …
Good researchers have a host of tools at their disposal that make navigating today’s complex information ecosystem much more manageable. Gaining the knowledge, abilities, and self-reflection necessary to be a good researcher helps not only in academic settings, but is invaluable in any career, and throughout one’s life. The Information Literacy User’s Guide will start you on this route to success.The Information Literacy User’s Guide is based on two current models in information literacy: The 2011 version of The Seven Pillars Model, developed by the Society of College, National and University Libraries in the United Kingdom and the conception of information literacy as a metaliteracy, a model developed by one of this book’s authors in conjunction with Thomas Mackey, Dean of the Center for Distance Learning at SUNY Empire State College. These core foundations ensure that the material will be relevant to today’s students.The Information Literacy User’s Guide introduces students to critical concepts of information literacy as defined for the information-infused and technology-rich environment in which they find themselves. This book helps students examine their roles as information creators and sharers and enables them to more effectively deploy related skills. This textbook includes relatable case studies and scenarios, many hands-on exercises, and interactive quizzes.
Reviews available here: https://open.umn.edu/opentextbooks/textbooks/the-information-literacy-user-s-guide-an-open-online-textbook
Students need to understand systems and the systems concept, and they need …
Students need to understand systems and the systems concept, and they need to understand the role of ICT in enabling systems. Students will learn the characteristics of good systems (e.g., intuitive, likable, error-resistant, fast, flexible, and the like). Knowing the characteristics of good systems will permit students to demand well designed systems and to suggest how existing systems should be changed. Students need to understand the affordances, directions, and limits of hardware, software, and networks in both personal and organizational dimensions. They also need to appreciate that, as technical capabilities change and new ones arise, more opportunities to apply ICT for efficiency, effectiveness, and innovation are afforded. They need to understand the process for developing and implementing new or improved systems and the activities of IS professionals in this process.
This book is written as an introductory text, meant for those with …
This book is written as an introductory text, meant for those with little or no experience with computers or information systems. While sometimes the descriptions can get a little bit technical, every effort has been made to convey the information essential to understanding a topic while not getting bogged down in detailed terminology or esoteric discussions.
Subject covers technology concepts and trends underlying current and future developments in …
Subject covers technology concepts and trends underlying current and future developments in information technology, and fundamental principles for the effective use of computer-based information systems. Special emphasis on networks and distributed computing, including the web. Other topics include: hardware and operating systems, software development tools and processes, relational databases, security and cryptography, enterprise applications and business process redesign, and electronic commerce. Hands-on exposure to Web, database, and graphical user interface (GUI) tools. Primarily for Sloan master's students.
6.441 offers an introduction to the quantitative theory of information and its …
6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include mathematical definition and properties of information, source coding theorem, lossless compression of data, optimal lossless coding, noisy communication channels, channel coding theorem, the source channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.
This practicum subject integrates theory and practice through the design, implementation, and …
This practicum subject integrates theory and practice through the design, implementation, and evaluation of a comprehensive community information infrastructure that promotes democratic involvement and informs community development projects. Students work with Lawrence Community Works, Inc. to involve constituents and generate solutions to an important planning problem in the City of Lawrence, Massachusetts. Final project presentations take place in a public forum, and serve to inform future development of the information infrastructure. Subject begins with an overview of the digital divide, e-government, public participation GIS, and neighborhood information systems. Subject includes a reflection component and a deliberate investigation of race, class, and gender dynamics.
This course provides an introduction to mathematical modeling of computational problems. It …
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.
This is a fast-paced introductory course to the C++ programming language. It …
This is a fast-paced introductory course to the C++ programming language. It is intended for those with little programming background, though prior programming experience will make it easier, and those with previous experience will still learn C++-specific constructs and concepts. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.
" Ever hang your head in shame after your Python program wasn't …
" Ever hang your head in shame after your Python program wasn't as fast as your friend's C program? Ever wish you could use objects without having to use Java? Join us for this fun introduction to C and C++! We will take you through a tour that will start with writing simple C programs, go deep into the caves of C memory manipulation, resurface with an introduction to using C++ classes, dive deeper into advanced C++ class use and the C++ Standard Template Libraries. We'll wrap up by teaching you some tricks of the trade that you may need for tech interviews. We see this as a "C/C++ empowerment" course: we want you to come away understanding why you would want to use C over another language (control over memory, probably for performance reasons), why you would want to use C++ rather than C (objects), and how to be useful in C and C++. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month."
This course provides a fast-paced introduction to the C and C++ programming …
This course provides a fast-paced introduction to the C and C++ programming languages. You will learn the required background knowledge, including memory management, pointers, preprocessor macros, object-oriented programming, and how to find bugs when you inevitably use any of those incorrectly. There will be daily assignments and a small-scale individual project. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.
This textbook has supplementary Canvas modules available for import/download in the Canvas …
This textbook has supplementary Canvas modules available for import/download in the Canvas Commons.
Why This Book? The key to success in college research is to develop and hone your information literacy skills. These skills will prepare you to find and use information not only for college, but also in the workplace and your personal life. Having strong information literacy skills will make you a more thoughtful and effective consumer and creator of information, and will increase your awareness of and resilience toward the psychological, physiological, and sociological effects of living in a society overloaded with information.
Table of Contents: Introduction The Age of Algorithms Disinformation Fact-Checking Types of Information Sources Getting Your Research Started Search Strategies Finding Materials in the Library Using Library Databases Searching the Web: Strategies and Considerations Ethical and Legal Use of Information Citing Sources
This book acknowledges our changing information landscape, covering key concepts in information …
This book acknowledges our changing information landscape, covering key concepts in information literacy to support a research process with intention. We start by critically examining the online environment many of us already engage with every day, looking at algorithms, the attention economy, information disorder and cynicism, information hygiene, and fact-checking. We then move into an exploration of information source types, meaningful research topics, keyword choices, effective search strategies, library resources, Web search considerations, the ethical use of information, and citation.
This course examines signals, systems and inference as unifying themes in communication, …
This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; group delay; state feedback and observers; probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization; least-mean square error estimation; Wiener filtering; hypothesis testing; detection; matched filters.
This subject is aimed at students with little or no programming experience. …
This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.
This course aims to give students the tools and training to recognize …
This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software. Acknowledgements The course materials were developed jointly by Prof. Stephen Boyd (Stanford), who was a visiting professor at MIT when this course was taught, and Prof. Lieven Vanderberghe (UCLA).
An introduction to several fundamental ideas in electrical engineering and computer science, …
An introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. The three parts of the course - bits, signals, and packets - cover three corresponding layers of abstraction that form the basis of communication systems like the Internet. The course teaches ideas that are useful in other parts of EECS: abstraction, probabilistic analysis, superposition, time and frequency-domain representations, system design principles and trade-offs, and centralized and distributed algorithms. The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.
This book explores the history, present, and future of library science, both …
This book explores the history, present, and future of library science, both in theory and in practice. It examines the place of the librarian as arbiter of information access in a constantly-changing and modernizing global community.
This course was offered as a non-credit program during the Independent Activities …
This course was offered as a non-credit program during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. The course, intended for students with no programming experience, provides the foundations of programming in MATLABĺ. Variables, arrays, conditional statements, loops, functions, and plots are explained. At the end of the course, students should be able to use MATLAB in their own work, and be prepared to deepen their MATLAB programming skills and tackle other languages for computing, such as Java, C++, or Python. The course mostly follows the official MATLAB Manual, available from The MathWorks. We will cover material from chapters 2-5. Technical Requirements:Special software is required to use some of the files in this course: .m.
Traditionally, progress in electronics has been driven by miniaturization. But as electronic …
Traditionally, progress in electronics has been driven by miniaturization. But as electronic devices approach the molecular scale, classical models for device behavior must be abandoned. To prepare for the next generation of electronic devices, this class teaches the theory of current, voltage and resistance from atoms up. To describe electrons at the nanoscale, we will begin with an introduction to the principles of quantum mechanics, including quantization, the wave-particle duality, wavefunctions and Schrĺ_dinger's equation. Then we will consider the electronic properties of molecules, carbon nanotubes and crystals, including energy band formation and the origin of metals, insulators and semiconductors. Electron conduction will be taught beginning with ballistic transport and concluding with a derivation of Ohm's law. We will then compare ballistic to bulk MOSFETs. The class will conclude with a discussion of possible fundamental limits to computation.
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