E.g., 2016-06-26
E.g., 2016-06-26
E.g., 2016-06-26
May 23rd 2016

Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equities, fixed income, credit and mortgage-backed securities. We will also consider the role that some of these asset classes played during the financial crisis. A notable feature of this course will be an interview module with Emanuel Derman, the renowned ``quant'' and best-selling author of "My Life as a Quant".

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May 16th 2016

Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems (ii) price derivative securities in various asset classes including equities and credit and (iii) consider some advanced applications of financial engineering including algorithmic trading and the pricing of real options. We will also consider the role that financial engineering played during the financial crisis.

Average: 10 (2 votes)
May 15th 2016

Discover the relationship between Big Data and the Internet of Things (IoT). The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020. In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.

Average: 7 (1 vote)
Apr 15th 2016

Learn the principles of machine learning and the importance of algorithms. Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications. This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.

Average: 9 (1 vote)
Apr 6th 2016

Learn about the political, social, and economic changes in the Union and the Confederacy and the Civil War’s long-term economic and intellectual impact.

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Mar 21st 2016

The Age of Sustainable Development" gives students an understanding of the key challenges and pathways to sustainable development - that is, economic development that is also socially inclusive and environmentally sustainable.

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Mar 21st 2016

Learn how MOS transistors work, and how to model them. The understanding provided in this course is essential not only for device modelers, but also for designers of high-performance circuits.

Average: 9.5 (2 votes)
Mar 7th 2016

Learn how statistics plays a central role in the data science approach.

Average: 7.1 (11 votes)
Jan 31st 2016

Learn about the political, social, and economic changes in the Union and the Confederacy and the Civil War’s long-term economic and intellectual impact.

Average: 7.4 (5 votes)
Jan 25th 2016

Learn the principles of machine learning and the importance of algorithms.

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Sep 30th 2015

Discover how the issue of slavery came to dominate American politics, and how political leaders struggled and failed to resolve the growing crisis in the nation.

Average: 10 (1 vote)
Jul 5th 2015

Introduction to a “money view” of economic activity for modern times, building on the intellectual traditions of British central banking and American institutionalism. Part One explores the economics of payment systems and money markets. Part Two explores connections with foreign exchange and capital markets. NOTE: The first week of Part Two reviews Part One, so you can take Part Two even if you missed Part One.

Average: 1 (2 votes)
Jul 1st 2015

Learn how and when to use key methods for educational data mining and learning analytics on large-scale educational data.

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May 3rd 2015

Introduction to a “money view” of economic activity for modern times, building on the intellectual traditions of British central banking and American institutionalism. Part one explores the economics of payment systems and money markets. Part two explores connections with foreign exchange and capital markets.

Average: 9 (1 vote)
Self Paced

This course comprises three modules of Dr. Sachs' longer course, "The Age of Sustainable Development." This preview course, "Introduction to Sustainable Development" will give you an understanding of the key challenges and pathways to sustainable development - that is, economic development that is also socially inclusive and environmentally sustainable.

Average: 4.3 (4 votes)
Jan 9th 2014

Introductory virology course that covers the interplay between viruses and their host organisms, with with the goal of understanding viral diseases and their prevention.

Average: 10 (1 vote)
Oct 24th 2013

Education is increasingly occurring online or in educational software, resulting in an explosion of data that can be used to improve educational effectiveness and support basic research on learning. In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data.

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Aug 1st 2013

Introductory virology course emphasizing the common reactions that must be completed by all viruses for successful reproduction within a host cell.

Average: 8.5 (2 votes)
Feb 11th 2013

This class will cover the fundamentals of mathematical and computational models of language, and the application of these models to key problems in natural language processing.

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