Courses tagged with "Nutrition" (468)

While no businesses succeed based on their architecture or space design, many fail as a result of inattention to the power of spatial relationships. This course demonstrates through live case studies with managers and architects the value of strategic space planning and decision making in relation to business needs. The course presents conceptual frameworks for thinking about architecture, communication and organizations.

This course is offered during the Sloan Innovation Period (SIP), which is a one-week period at the MIT Sloan School of Management that occurs midway through each semester.

In this course, students develop and polish communication strategies and methods through discussion, examples, and practice with an emphasizes on writing and speaking skills necessary for effective leaders. The course includes several oral and written assignments which are integrated with other subjects, and with career development activities, when possible.

This course is part of the MBA core and is restricted to first-year Sloan graduate students. Find out more about the Sloan MBA core on OCW.

Behavioral economics couples scientific research on the psychology of decision making with economic theory to better understand what motivates financial decisions. In A Beginner’s Guide to Irrational Behavior, you will learn about some of the many ways in which we behave in less than rational ways, and how we might overcome our shortcomings. You’ll also learn about cases where our irrationalities work in our favor, and how we can harness these human tendencies to make better decisions.

This course develops an interdisciplinary understanding of the social, political, economic and scientific perspectives on climate change.

This course will provide a market-oriented framework for analyzing the major types of financial decisions made by corporations. Lectures and readings will provide an introduction to present value techniques, capital budgeting principles, asset valuation, the operation and efficiency of financial markets, the financial decisions of firms, and derivatives.

Explore how to identify and develop great ideas into great companies. Learn how to identify opportunities based on real customer needs. Take the first steps to creating a successful company.

Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence.

This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.

In an introduction to the basics of the famous Customer Development Process, Steve Blank provides insight into the key steps needed to build a successful startup. The main idea in this course is learning how to rapidly develop and test ideas by gathering massive amounts of customer and marketplace feedback. Many startups fail by not validating their ideas early on with real-life customers. In order to mitigate that, students will learn how to get out of the building and search for the real pain points and unmet needs of customers. Only with these can the entrepreneur find a proper solution and establish a suitable business model. Building a startup is not simply building an execution plan for a business model that the entrepreneur thinks will work, but rather, a search for the actual business model itself.

This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To audit this course, click “Enroll Now” in the green button at the top of this page.

To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s new blended Master’s degree, go to MITx’s MicroMasters portal.

This is a course for those who are interested in the challenge posed by massive and persistent world poverty, and are hopeful that economists might have something useful to say about this challenge. The questions we will take up include: Is extreme poverty a thing of the past? What is economic life like when living under a dollar per day? Are the poor always hungry? How do we make schools work for poor citizens? How do we deal with the disease burden? Is microfinance invaluable or overrated? Without property rights, is life destined to be "nasty, brutish and short"? Should we leave economic development to the market? Should we leave economic development to non-governmental organizations (NGOs)? Does foreign aid help or hinder? Where is the best place to intervene? And many others.

At the end of this course, you should have a good sense of the key questions asked by scholars interested in poverty today, and hopefully a few answers as well.

This course emphasizes the role of economics regarding its influence on food prices, the environment, and government policies. The primary objective of this course is to explore the basic tool kit of economic concepts that will enable students to critically analyze the choices they face as consumers and world citizens.

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).

A survey of the history of economic development in the world in the past 300 years.

This course will explore the many problems of the American health care system and discuss the specific ways that the Affordable Care Act will impact access, quality, costs, as well as medical innovation.

Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.

This course will introduce you to frameworks and tools to measure value; both for corporate and personal assets. It will also help you in decision-making, again at both the corporate and personal levels.

Why is Coursera offering this course free of charge? Why is the divorce rate so high? Why do we have so much pollution? Would legalizing marijuana lead to a reduction in crime? Why is a college education a smart investment, or is it? Why would a draft only damage the army? In the last 50 years economists have tackled some of the most interesting and important questions for humanity!

In this class, you will learn how to think with models and use them to make sense of the complex world around us.

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.

This course covers the basics of normal nutrition for optimal health outcomes and evidence-based diets for a variety of diseases.

Quantitative and model-based introduction to basic ideas in economics, and applications to a wide range of real world problems.