E.g., Friday, January 30, 2015
E.g., Friday, January 30, 2015
E.g., Friday, January 30, 2015
Self Paced Course - Start anytime

In this introductory, self-paced course, you will learn multiple theories of organizational behavior and apply them to actual cases of organizational change.

0
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Self Paced

Learn the basics of child nutrition and how to make healthy meals for healthy children and families.

10
Average: 10 (1 vote)
Self Paced Course - Start anytime

Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms. The functional paradigm (using LISP) and concurrent programming (using C and C++). Brief survey of other modern languages such as Python, Objective C, and C#.

0
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Self Paced Course - Start anytime

In this course, you'll learn and become proficient in developing native applications for Apple mobile devices.
Tools and APIs required to build applications for the iPhone and iPad platform using the iOS SDK.
User interface designs for mobile devices and unique user interactions using multi-touch technologies. Object-oriented design using model-view-controller paradigm, memory management, Objective-C programming language.

0
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Self Paced

Participants in this class will learn how to build, program, and control haptic devices, which are mechatronic devices that allow users to feel virtual or remote environments. In the process, participants will gain an appreciation for the capabilities and limitations of human touch, develop an intuitive connection between equations that describe physical interactions and how they feel, and gain practical interdisciplinary engineering skills related to robotics, mechanical engineering, electrical engineering, bioengineering, and computer science.

0
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Mar 17th 2014

This course will discuss the major ideas used today in the implementation of programming language compilers. You will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines!

0
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Self Paced Course - Start anytime

CS101 teaches the essential ideas of Computer Science for a zero-prior-experience audience. The course uses small coding experiments in the browser to play with the nature of computers, understanding their strengths and limitations. Sign up for the "To be announced" session to be notified by email when the class is next run, and sign up for "Self-Study" to start browsing the class materials right away. Self-Study mode makes all the videos and assignments available to be done at your own pace, but without a certificate of completion at the end.

0
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Self Paced Course - Start anytime

This course covers database design and the use of database management systems for applications.

0
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Self Paced

This course will offer a practical approach to prescribing antibiotic therapy and development of antimicrobial stewardship across all specialties and settings.

0
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Self Paced Course - Start anytime

This course is designed to meet the educational needs of a national audience of physicians and allied health professionals who specialize in family practice, primary care, internal medicine & oncology.

0
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Apr 6th 2015

Learn about the inner workings of cryptographic primitives and protocols and how to apply this knowledge in real-world applications.

0
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Mar 31st 2015

The year is 2032. You are the doctor on a ship of 5000, when suddenly you encounter a hostile forces Now, the sickbay is overflowing with the injured and dying. Your mission is to repair, reconstruct and regenerate your wounded shipmates before time runs out.

0
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Feb 14th 2015

Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years.

10
Average: 10 (2 votes)
Jan 19th 2015

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

8.33333
Average: 8.3 (3 votes)
Jan 19th 2015

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).

0
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Jan 30th 2015

This course provides an overview of women's health and human rights, beginning in infancy and childhood, then moving through adolescence, reproductive years and aging. We consider economic, social, political and human rights factors, and the challenges women face in maintaining health and managing their lives in the face of societal pressures and obstacles.

6
Average: 6 (1 vote)
Jan 31st 2015

This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well.

0
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Jan 13th 2015

This course covers key topics in the use of quantum mechanics in many modern applications in science and technology, introduces core advanced concepts such as spin, identical particles, the quantum mechanics of light, the basics of quantum information, and the interpretation of quantum mechanics, and covers the major ways in which quantum mechanics is written and used in modern practice.

0
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Jan 19th 2015

In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures, randomized algorithms, and more.

9
Average: 9 (1 vote)
Jan 20th 2015

Learn how police and intelligence agencies can access your data, and how the law (might) protect you! Hackers, attorneys, and concerned citizens are all welcome.

10
Average: 10 (1 vote)

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