Courses tagged with "Nutrition" (6413)

Learn from Microsoft experts the necessary skills to implement SharePoint in your organization. This introductory course is ideal for IT Professionals seeking to understand how to plan and implement SharePoint collaboration tools within their organizations. The course covers the robust features of SharePoint sites, enterprise content management, and search.

You will learn how to plan and establish a server farm for on-premise and cloud, set up site collections, implement an Enterprise Content Management Solution, search, and design Managed Metadata/Term Store.

In this course, you will learn how to configure SharePoint hybrid solutions such as search, Business Connectivity Services, Microsoft OneDrive for Business, profiles, and extranet sharing. You will gain insights into the benefits of each of the hybrid solutions, along with technical steps on how to configure, troubleshoot, and manage a SharePoint hybrid environment.

Did you know that you can track some sharks’ movements on Twitter? Or that the scales on their skin have influenced the way humans design boats, planes, and even swim suits? Or that sharks have more senses than humans?

In this biology course, you will learn how scientists study sharks. You will join researchers on location in labs, aquariums, and oceans across the globe to learn about the biodiversity, biology, and conservation of sharks, rays, and chimaeras.

In this activity‑rich course, you’ll track movements of a wild shark, observe shark habitats and behavior, and dig deep into the fossil record. You will also examine topics in the functional anatomy, sensory biology, reproduction, behavior, and ecology of many of the 1,200 living species.

This is an exciting time to be a shark biologist. An explosion of new research methods and technologies are leading to a surprising world of discovery. We’ll introduce new, as well as traditional techniques, for classifying sharks, understanding behavior, and unraveling the mysteries of shark evolution. You’ll be invited to explore global shark populations and consider shark-human interactions and their impacts on history and culture.

You’ll be rewarded by your ability to see virtually any animal with new eyes. Practice thinking like a biologist while honing critical skills that can lead to broader observations about the ongoing history of life on Earth.

A quick, one-lesson introduction to the Unix-style command-line environment. This course is intended to get you up to speed on the shell — using a terminal, managing files and directories, and running command-line programs.

This course is intended for first year graduate students and advanced undergraduates with an interest in design of ships or offshore structures. It requires a sufficient background in structural mechanics. Computer applications are utilized, with emphasis on the theory underlying the analysis. Hydrostatic loading, shear load and bending moment, and resulting primary hull primary stresses will be developed. Topics will include; ship structural design concepts, effect of superstructures and dissimilar materials on primary strength, transverse shear stresses in the hull girder, and torsional strength among others. Failure mechanisms and design limit states will be developed for plate bending, column and panel buckling, panel ultimate strength, and plastic analysis. Matrix stiffness, grillage, and finite element analysis will be introduced. Design of a ship structure will be analyzed by "hand" with desktop computer tools and a final design project using current applications for structural design of a section will be accomplished.

This course was originally offered in Course 13 (Department of Ocean Engineering) as 13.122. In 2005, ocean engineering subjects became part of Course 2 (Department of Mechanical Engineering), and this course was renumbered 2.082.   

Learn how maritime archaeology investigates our changing relationship with the world’s oceans and seas, from 2.5 million years ago until today.

Harvard professor Stephen Greenblatt (John Cogan University Professor of the Humanities) guides learners through an exploration of Shakespeare’s unforgettable character Shylock in The Merchant of Venice and his historical origins.

In the first act of William Shakespeare’s The Merchant of Venice, the Jewish moneylender Shylock proposes a “merry sport” to the merchant Antonio: he will lend Antonio the money he needs if Antonio agrees to let Shylock take a pound of his flesh should he default. Shylock calls this contract a “merry bond,” and Shakespeare’s First Folio calls the play a comedy. But what does Shylock want from the bond, and how merry does the play ultimately prove? 

This course introduces learners to Jewish history both in Venice and in England, to the ways in which Shakespeare’s own audience might have responded to the play and its genre, and to the history of the play’s production through the twenty-first century. 

Learners will also be invited to share their own theatrical interpretations of The Merchant of Venice and to ask how the meaning of a work of art may change in different times, contexts, and cultures.

Honor Code - HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

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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.

This is an advanced topics course in model theory whose main theme is simple theories. We treat simple theories in the framework of compact abstract theories, which is more general than that of first order theories. We cover the basic properties of independence (i.e., non-dividing) in simple theories, the characterization of simple theories by the existence of a notion of independence, and hyperimaginary canonical bases.

This introductory calculus course covers differentiation and integration of functions of one variable, with applications.

This calculus course covers differentiation and integration of functions of one variable, and concludes with a brief discussion of infinite series. Calculus is fundamental to many scientific disciplines including physics, engineering, and economics.

Course Format

This course has been designed for independent study. It includes all of the materials you will need to understand the concepts covered in this subject. The materials in this course include:

• Lecture Videos with supporting written notes
• Recitation Videos of problem-solving tips
• Worked Examples with detailed solutions to sample problems
• Problem sets with solutions
• Exams with solutions
• Interactive Java Applets ("Mathlets") to reinforce key concepts

Content Development