Survey of information technology covering database modeling, design, and implementation with an emphasis on relational databases and SQL. Internet technologies: http, html, XML, SOAP, security. Brief introduction to components and middleware. Introduction to design and implementation of multi-tier architectures, benchmarks, and performance. Data networking protocols and technologies. Students complete project that covers requirements/design, data model, database implementation, web site, and system architecture. This course is an intensive review of information technology. It covers topics in software development methods, data modeling and databases, application development, Web standards and development, system integration, security, and data communications. Most of the homework sets lead the class through a project in which a database and Web application are designed and constructed, using good software process and addressing security, network and other issues. The project, which is done in two-person teams, provides hands-on experience to complement the lectures and readings. Recitations discuss readings and provide more detailed information on the software tools used. The course goal is to cover the key concepts in the major areas of information technology, to enable students to successfully understand, work with and manage IT efforts as part of supply chain, transportation or civil engineering projects.

In computing education, designing equitable and authentic learning experiences requires a conscious effort to take into account the characteristics of all learners and their social environments. Doing this allows teachers to address topics that are relevant to a diverse range of learners. To support computing and computer science teachers with this work, we’re now sharing a practical guide document for culturally responsive teaching in schools.

This course takes a 'back to the beginning' view that aims to better understand the end result. What might be the developmental processes that lead to the organization of 'booming, buzzing confusions' into coherent visual objects? This course examines key experimental results and computational proposals pertinent to the discovery of objects in complex visual inputs. The structure of the course is designed to get students to learn and to focus on the genre of study as a whole; to get a feel for how science is done in this field.

Digital circuits, often called Integrated Circuits or ICs, are the central building blocks of a Central Processing Unit (CPU). To understand how a computer works, it is essential to understand the digital circuits which make up the CPU. This text introduces the most important of these digital circuits; adders, decoders, multiplexers, D flip-flops, and simple state machines.

The Digital Public Library of America is a free digital collection of artifacts gathered from libraries, archives and museums.  This great collection of primary source materials will continue to grow as new items are made digital. 

These lesson ideas can be used to teach the key Digital Technology concepts.

Note: This book was written in 1999 and last updated in 2003. Since then technologies have changed so the non-conceptual and more technical parts of the book may be out of date.Why Yet Another Textbook (WYAT)?There are many excellent introductory information systems (IS) texts on the market. Why then produce our own text? Interestingly enough, when we sat down to critically review the first year Information Systems curriculum, the very last thing that we wanted was to get involved in writing yet another text. But after we had set the broad educational goals, the curriculum content and educational approach, we found that no textbook fitted our objectives or approach. Briefly, the following considerations forced us to fire up our word processor and compile the text you find in front of you.Technology Bias. A frequent criticism of the introductory information systems curricula is that many have a very strong technological bias: many courses are an in-depth treatment of hardware and software concepts with an avalanche of buzzwords, often reflecting some computer science origins. Although a sound understanding of the technology that underlies information systems is critical, this technology is subject to significant change and seems to receive a disproportionately large amount of attention. This is particularly prevalent in many of the American textbooks that we considered for this course: they all seem to be an "Introduction to Computers" rather than an "Introduction to Information Systems". We wondered where the broader scientific contexts are in these, admittedly very well illustrated but quickly out-dated, documentaries of computer technologies. This is in sharp contrast to a number of European and Australasian texts, some of which relegate all the technology concepts to a single chapter or even a mere appendix at the end of the book! We needed something of a balance between these two extremes. We hope that the three roughly equal sections (scientific, technological and organisational contexts) in this will provide a sufficiently balanced approach to the study of information systems. We wish to provide students with a sound technical understanding but also let them take into account the more philosophical, scientific and organisational aspects of information systems.Depth of Treatment. We needed a text where the conceptual or theoretical component would be equivalent to roughly half of a one-semester course. Most textbooks on the market are intended for full or half-year courses. A frequent comment, even of the newer "trimmed-down editions", is that there is just too much material. Students with little or no previous exposure to computer jargon especially despair when confronted with the many new terms and acronyms. In addition, many of these technologies may be outdated by the time the students have completed their studies. By limiting ourselves to twelve chapters and setting strict limits to the length of each chapter, we hope to stem the "information overload" without compromising the academic standard. We carefully considered "need to know" versus "nice to know". A good example of the latter are the typical detailed historical notes on historical devices such as the abacus, Babbage or ENIAC.Educational Approach. Contrary to our expectations, past student evaluations showed that the textbook previously use, a well-written American one with excellent colour photographs and illustrations, was not well received and lectures based on the textbook were judged to be "boring". It is clear that a different educational approach was needed, perhaps due to our unique South African circumstances. Based on our experiences, we hope that a participatory learning approach will make the "theoretical" section come more alive and replace the rote learning with genuine understanding. The integral part of this text is therefore in the supporting materials: readings, case studies, class assignments and group exercises.Cost. Although not a decisive factor, we also considered the fact that many students face financial constraints. By producing a local textbook, we hope to beat the exchange rate fluctuations.This text consist of twelve chapters, which can be grouped roughly into the following three sections.The scientific context: a review of the fundamental scientific concepts on which IS builds: what is information, what is a system and what are information systems.The technological context: an overview of relevant technology: hardware, software and communications technology.The organisational context: the development and deployment of information systems as well as some wider societal concerns.It is important that this text not be seen separate from the practical worksheets, case studies, videos and group work, which will be provided in the lectures. The intention of these additional materials is to enhance the educational process through participatory learning units: you learn best when doing.It is also our conviction that university students need to be introduced from the first year to academic pluralism: too often undergraduate students get the impression that there is a single correct approach or, even worse, that most problems have only one correct solution or answer. This text is therefor supplemented with additional readings, culled from the world-wide web, in which we hope to expose students to different views of the material presented in the concepts part.

This course intends to provide a rigorous introduction to the most important research results in the area of distributed algorithms, and prepare interested students to carry out independent research in distributed algorithms. Topics covered include: design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks, process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration is given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation are also discussed.

Dr. Dennis Buss of Texas Instruments delivers a talk about recent achievements in ULP electronics including logic, memory, AFE, including ADC, radio and power management. He will also describe devices that harvest energy from mechanical vibration, thermal gradients, and ambient electromagnetic energy (solar & radio frequency).

The course addresses dynamic systems, i.e., systems that evolve with time. Typically these systems have inputs and outputs; it is of interest to understand how the input affects the output (or, vice-versa, what inputs should be given to generate a desired output). In particular, we will concentrate on systems that can be modeled by Ordinary Differential Equations (ODEs), and that satisfy certain linearity and time-invariance conditions. We will analyze the response of these systems to inputs and initial conditions. It is of particular interest to analyze systems obtained as interconnections (e.g., feedback) of two or more other systems. We will learn how to design (control) systems that ensure desirable properties (e.g., stability, performance) of the interconnection with a given dynamic system.

Treatment of electromechanical transducers, rotating and linear electric machines. Lumped-parameter electromechanics of interaction. Development of device characteristics: energy conversion density, efficiency; and of system interaction characteristics: regulation, stability, controllability, and response. Use of electric machines in drive systems. Problems taken from current research. This course explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines.

6.641 examines electric and magnetic quasistatic forms of Maxwell's equations applied to dielectric, conduction, and magnetization boundary value problems. Topics covered include: electromagnetic forces, force densities, and stress tensors, including magnetization and polarization; thermodynamics of electromagnetic fields, equations of motion, and energy conservation; applications to synchronous, induction, and commutator machines; sensors and transducers; microelectromechanical systems; propagation and stability of electromechanical waves; and charge transport phenomena.

"Published in 1989 by Prentice-Hall, this book is a useful resource for educators and self-learners alike. The text is aimed at those who have seen Maxwell's equations in integral and differential form and who have been exposed to some integral theorems and differential operators. A hypertext version of this textbook can be found here. An accompanying set of video demonstrations is available below. These video demonstrations convey electromagnetism concepts. The demonstrations are related to topics covered in the textbook. They were prepared by Markus Zahn, James R. Melcher, and Manuel L. Silva and were produced by the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. The purpose of these demonstrations is to make mathematical analysis of electromagnetism take on physical meaning. Based on relatively simple configurations and arrangements of equipment, they make a direct connection between what has been analytically derived and what is observed. They permit the student to observe physically what has been described symbolically. Often presented with a plot of theoretical predictions that are compared to measured data, these demonstrations give the opportunity to test the range of validity of the theory and present a quantitative approach to dealing with the physical world. The short form of these videos contains the demonstrations only. The long form also presents theory, diagrams, and calculations in support of the demonstrations. These videos are used in the courses 6.013J/ESD.013J and 6.641. Technical Requirements:Special software is required to use some of the files in this course: .mp4, .rm."

Subject on electromagnetic wave theory, emphasizing mathematical approaches, problem solving, and physical interpretation. Topics include: equivalence principle, duality and complementarity, Huygens' principle, Fresnel and Fraunhofer diffraction, dyadic Green's functions, Lorentz transformation, and Maxwell-Minkowski theory. Examples deal with limiting cases of Maxwell's theory and diffraction and scattering of electromagnetic waves.

Feedback control is an important technique that is used in many modern electronic and electromechanical systems. The successful inclusion of this technique improves performance, reliability, and cost effectiveness of many designs. In this series of lectures we introduce the analytical concepts that underlie classical feedback system design. The application of these concepts is illustrated by a variety of experiments and demonstration systems. The diversity of the demonstration systems reinforces the value of the analytic methods.

This course introduces the theory of error-correcting codes to computer scientists. This theory, dating back to the works of Shannon and Hamming from the late 40's, overflows with theorems, techniques, and notions of interest to theoretical computer scientists. The course will focus on results of asymptotic and algorithmic significance. Principal topics include: Construction and existence results for error-correcting codes. Limitations on the combinatorial performance of error-correcting codes. Decoding algorithms. Applications in computer science.

This course considers the interaction between law, policy, and technology as they relate to the evolving controversies over control of the Internet. In addition, there will be an in-depth treatment of privacy and the notion of "transparency" -- regulations and technologies that govern the use of information, as well as access to information. Topics explored will include: Legal Background for Regulation of the Internet Fourth Amendment Law and Electronic Surveillance Profiling, Data Mining, and the U.S. PATRIOT Act Technologies for Anonymity and Transparency, The Policy-Aware Web

Students are introduced to the concepts of digital organisms and digital evolution. They learn about the research that digital evolution software makes possible, and compare and contrast it with biological evolution.

This video demonstrates how to use simple addition, subtraction, multiplication, and division formulas in Excel 20 and how to fill them to adjacent cells.