E.g., Wednesday, April 1, 2015
E.g., Wednesday, April 1, 2015
E.g., Wednesday, April 1, 2015
Self Paced Course - Start anytime

Occasionalism is commonly understood as a theory that ascribes all causal power to God on the one hand and treats cause-effect relations in nature as occasions indicating the manner of divine creation on the other.

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Self Paced Course - Start anytime

JUSTICE is the first Harvard course to be made freely available online and on public television. Nearly a thousand students pack Harvard's historic Sanders Theatre to hear Michael Sandel, perhaps the most prominent college professor in America, (Washington Post) talk about justice, equality, democracy, and citizenship.

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Mar 10th 2015

Explore the art and history of the deliberative process, and gain hands-on experience through live, online discussions with your peers on pressing issues of our time.

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Apr 27th 2015

Basic workflow for performing genetic variant discovery and genotyping.

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Feb 12th 2015

Traces Albert Einstein’s engagement with relativity, quantum mechanics, Nazism, nuclear weapons, philosophy, the arts, and technology.

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Mar 30th 2015

We learn how to use Bioconductor, one of the most widely used open source toolkits for biological data. Two tracks will be available: 1) Next generation sequencing and 2) microarrays.

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Mar 18th 2015

This module, the fourth installment of the multi-part Poetry in America series, explores the work of Emily Dickinson. Although she never published during her lifetime, Dickinson ranks among the most prolific and widely-studied American poets.

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Feb 23rd 2015

In this course, students analyze some of the hardest national security challenges the United States will face in the decade ahead.

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Mar 2nd 2015

We dive into the best methods for analyzing complex data in the life sciences with a focus on genomics.

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Feb 9th 2015

Mini-Course IV: School Choice. This is the fourth in a sequence of four mini-courses, releasing on February 9th, 2015. This mini-course focuses on alternatives to public schools in the United States.

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Feb 16th 2015

The basics of linear models you need to know for data analysis in the life sciences.

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