Courses tagged with "Biology" (7)

Find out how modern electronic markets work, why stock prices change in the ways they do, and how computation can help our understanding of them.  Build algorithms and visualizations to inform investing practice.

This course is an introduction to the theory and practice of financial engineering and risk management. We consider the pricing of derivatives, portfolio optimization and risk management and cast a critical eye on how these are used in practice. We will also feature some interview modules with Emanuel Derman .

The course covers the basics: representing games and strategies, the extensive form (which computer scientists call game trees), repeated and stochastic games, coalitional games, and Bayesian games (modeling things like auctions).

Networked Life will explore recent scientific efforts to explain social, economic and technological structures -- and the way these structures interact -- on many different scales, from the behavior of individuals or small groups to that of complex networks such as the Internet and the global economy.

This course serves as an introduction to the basic principles that govern all aspects of our networked lives. We will learn about companies like Google and technologies like the Internet in a way that requires no mathematics beyond basic algebra.

A course driven by 20 practical questions about wireless, web, and the Internet, about how products from companies like Apple, Google, Facebook, Netflix, Amazon, Ericsson, HP, Skype and AT&T work. In this offering, we will cover 7 of the 20 questions, and you will have the opportunity to personalize your own learning experience by choosing which of the versions suits you best.

Few people who “just Google it” to find an answer to their every question understand just what the company does (and why). Through this course, you'll join the minority that really gets it.