
Description As we approach the centennial of the passage of women’s suffrage in 1920, there has been a recent burst of activism among American women. Women are running for political office in record numbers. Women are organizing and taking to the streets to demand change. Women are grappling with inclusion and intersectionality.While some of this…
Description During each module of this course, chefs reveal the secrets behind some of their most famous culinary creations — often right in their own restaurants. Inspired by such cooking mastery, the Harvard team will then explain the science behind the recipe. Topics will include: How molecules influence flavor The role of heat in cooking…
Description In this course, which investigates physical transformations in food, we will be visited by world-famous chefs who use a number of different styles and techniques in their cooking. Each chef will demonstrate how he or she prepares delicious and interesting creations, and we will explore how fundamental scientific principles make them possible. Topics will…
Description Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you tools needed to understand data, science, philosophy, engineering, economics, and finance. You will learn not only how to solve challenging technical problems, but also how you can apply those solutions in everyday life.With examples…
Description Using case studies from the Harvard Business School, this course will cover the contemporary Chinese scene by focusing on five main themes in China’s development: agriculture, entrepreneurship, education, environment, and literature.You’ll examine the period from Deng Xiaoping’s rise in 1978 to the present, using the lenses of sociology, political science, and economics. You’ll learn…
Description We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and…
Description This course, the second in a collection on Chinese history and culture, addresses how the Qin dynasty conquered China and established a new system of government and how the Han dynasty built a stable, centralized empire that lasted for hundreds of years. We cover the early history of Buddhism in China and how the…
Description Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will…
Description In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum…
Description If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis. We will…