Online courses directory (19947)

This course will provide an intensive introduction to the field of information technology and global development, in its historical, policy, and design dimensions. Part One offers a comprehensive overview of key historical and contemporary debates, problems, and issues in international development. Part Two explores crucial information policy issues in developing country contexts, ranging from technology transfer, research and innovation systems, and intellectual property to telecommunications, wireless, and other critical infrastructure development. Part Three explores the growing ICT4D project literature, with special reference to programs and applications in the health, education, finance, governance, agriculture, and rural development sectors. Through readings, discussions, and course assignments, students will gain critical research and professional skills in the analysis and design of information policies, programs, and projects in a range of developing country settings. Through geographically focused project and discussion groups, students will also develop specific regional or country-level knowledge and experience. Course Level: Graduate This Work, SI 657 / 757 - Information Technology and Global Development, by Steven J. Jackson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike license.

Digital imaging technologies are replacing the microfilm camera and photocopier as the primary mechanisms for reproducing print and graphic resources. Digitization practices do not necessarily accomplish preservation goals; only a portion of digitization programs in cultural heritage institutions produce preservation-quality results. In 2004, the Association of Research Libraries issued a position paper that supported the creation of preservation-quality digital images, citing the abundance of available standards and best practices. This course concentrates on the state-of-the-art of standards, techniques, metadata, and project requirements for the production of preservation-quality digital images. The course will consider such standards and practices within the larger context of the representation of information through technological remediation. Course Level: Graduate This Work, SI 675 - Digitization for Preservation, by Paul Conway is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike license.

This course examines and evaluates the archival field's current preservation standards for storage and duplication. Critical preservation problems

Course prepares you to advise clients or your own organization on the design of contracts and screening policies when one of the parties has an information advantage over the other. For example, students study the design of patent licenses (the licensor knows more about the market), the design of social systems to reduce spam (the spam sender knows more about the content before the recipient decides whether to read), and the design of performance contracts for professional services (e.g., consultants, contract programmers, etc., when the contractor knows more than the employer about her level of effort). This course follows SI 646. Prerequisite(s): SI 562 & 563 or equivalent course in intermediate microeconomics. Course Level: Graduate This Work, SI 680 - Contracting and Signaling, by Jeffrey K. MacKie-Mason is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike license.

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This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics covered include spectral analysis, filter design, system identification, and simulation in continuous and discrete-time domains. The emphasis is on practical problems with laboratory exercises.

6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing.

We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, manipulating audio files, using speech recognition softwares like Siri and Google now, to taking EEGs, ECGs and X-Ray images. Each of these involves gathering, storing, transmitting and processing information from the physical world. This course will equip you to deal with these tasks efficiently by learning the basic mathematical framework of signals and systems.

This course is divided into two parts. In this part (EE210.1x), we will explore the various properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution and Fourier Transform, while the next part (EE210.2x), will deal with the Sampling theorem, Z-Transform, discrete Fourier transform and Laplace transform. Ideas introduced in this course will be useful in understanding further electrical engineering courses which deal with control systems, communication systems, power systems, digital signal processing, statistical signal analysis and digital message transmission. The concepts taught in this course are also useful to students of other disciplines like mechanical, chemical, aerospace and other branches of engineering and science.

We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, manipulating audio files, using speech recognition softwares like Siri and Google now, to taking EEGs, ECGs and X-Ray images. Each of these involves gathering, storing, transmitting and processing information from the physical world. This course will equip you to deal with these tasks efficiently by learning the basic mathematical framework of signals and systems.

This course is divided into two parts. In the first part (EE210.1x), we explored the various properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution and Fourier Transform. Building on that, in this part (EE210.2x) we will deal with the Sampling theorem, Z-Transform, discrete Fourier transform and Laplace transform. The contents of the first part are prerequisites for doing this part. Ideas introduced in this course will be useful in understanding further electrical engineering courses which deal with control systems, communication systems, power systems, digital signal processing, statistical signal analysis and digital message transmission. The concepts taught in this course are also useful to students of other disciplines like mechanical, chemical, aerospace and other branches of engineering and science.

This class teaches the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient. Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. The undergraduate subject MAS.160 meets with the two half-semester graduate subjects MAS.510 and MAS.511, but assignments differ.

This class teaches the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient. Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. The undergraduate subject MAS.160 meets with the two half-semester graduate subjects MAS.510 and MAS.511, but assignments differ.

This short course teaches students and industry professionals how to design integrated optical devices and circuits, using a hands-on approach with commercial tools. We will fabricate your designs using a state-of-the-art ($5M) silicon photonic rapid-prototyping 100 keV electron-beam lithography facility. We will measure your designs using an automated optical probe station and provide you the data. You will then analyze your experimental data.

Why take this course?

• To get hands on design experience with integrated optics
• To learn how to use advanced optical design tools
• To get your design fabricated, and obtain experimental data

The focus of this course is a design project, guided by lectures, tutorials and activities. As a first-time designer, you will design an interferometer, which is a widely used device in many applications such as communications (modulation, switching) and sensing. Specifically, it is Mach-Zehnder Interferometer, consisting of fibre grating couplers, two splitters, and optical waveguides. For advanced designers, this course is an opportunity to design many other devices, such as directional couplers, ring, racetrack and disk resonators, Bragg gratings including grating assisted contra-directional couplers, photonic crystals, multi-mode interference (MMI) couplers, polarization diversity components, mode-division multiplexing (MDM) components and circuits, novel waveguides such as sub-wavelength grating (SWG) and metamaterial waveguides, slot waveguides, etc.

Commercial software tool licenses are provided in this course (Lumerical Solutions, Mentor Graphics, and MATLAB). Open-source alternatives are provided. Mentor Graphics tools are accessed remotely via a cloud service; the others can be run on your own computer.

You will earn a professional certificate from the University of British Columbia and edX upon successful completion of this course. Certificates can be uploaded directly to your LinkedIn profile.

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A revelation on how monetary inflation destroys savings and wealth.

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