This freshman course explores the scientific publication cycle, primary vs. secondary sources, and online and in-print bibliographic databases; how to search, find, evaluate, and cite information; indexing and abstracting; using special resources (e.g. patents) and "grey literature" (e.g. technical reports and conference proceedings); conducting Web searches; and constructing literature reviews.

To be information literate, a person must be able to recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information. By the end of this unit you will be able to Define Information Literacy, Define the four domains that fall under Metaliterate Learners, Identify a lack of knowledge in a subject area, Identify a search topic/question and define it using simple terminology, Articulate current knowledge on a topic, Recognize a need for information and data to achieve a specific end and define limits to the information need, and Manage time effectively to complete a search.

The intent of this OER is twofold: to offer a free or low cost quality text to our students in a one-unit information literacy course and to offer a starting place to anyone who wishes to develop their own class or OER.

During your studies you will frequently be asked to write a paper. For such a paper you will need information, but how do you get it? What exactly do you need? Where can you find it? How do you go about it? Almost anyone can use Google, of course, but more is expected of a TU Delft student!
We challenge you to go beyond using the popular search engines. This instruction will help you discover what there is to learn about information skills.

This instruction follows on from the online instruction Information Literacy 1, in which you learned how to find, evaluate and use information. Today’s instruction is intended for advanced users.

A series of interactive tutorials on information literacy including types of sources, search strategies, rethinking a search, evaluating online information, giving credit for others' ideas, popular vs. scholarly sources, anatomy of a scholarly article, and using mind maps to focus a topic.

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.

Welcome to Information Systems for Business and Beyond. In this book, you will be introduced to the concept of information systems, their use in business, and the larger impact they are having on our world.

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.

Learning objectives can be found at the beginning of each chapter. Of course, all chapters are recommended for use in an introductory information systems course. However, for courses on a shorter calendar or courses using additional textbooks, a review of the learning objectives will help determine which chapters can be omitted.

At the end of each chapter, there is a set of study questions and exercises (except for chapter 1, which only offers study questions). The study questions can be assigned to help focus students’ reading on the learning objectives. The exercises are meant to be a more in-depth, experiential way for students to learn chapter topics. It is recommended that you review any exercise before assigning it, adding any detail needed (such as length, due date) to complete the assignment.

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 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 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 open access textbook offers a comprehensive introduction to instruction in all types of library and information settings. Designed for students in library instruction courses, the text is also a resource for new and experienced professionals seeking best practices and selected resources to support their instructional practice.

Organized around the backward design approach and written by LIS faculty members with expertise in teaching and learning, this book offers clear guidance on writing learning outcomes, designing assessments, and choosing and implementing instructional strategies, framed by clear and accessible explanations of learning theories. The text takes a critical approach to pedagogy and emphasizes inclusive and accessible instruction. Using a theory into practice approach that will move students from learning to praxis, each chapter includes practical examples, activities, and templates to aid readers in developing their own practice and materials.

This course is intended to assist undergraduates with learning the basics of programming in general and programming MATLAB in particular.

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 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 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 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 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 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, 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.