Introduction to the field of computer science with a data science theme. Introduces students to algorithms, basic data structures, and programming techniques. Also introduces the skills, techniques, and tools needed to collect, prepare, analyze, and visualize data to quantitatively ask and answer questions.

Designers are continually innovating ways of incorporating technology into today's world, from projections of butterflies on Grammy performance dresses to "smart" purses that sense when your wallet is missing. The recent emergence of low-cost, user-friendly components is making this new world of design accessible to a broad community. In this course, students will think critically about products already in the marketplace and will be given the tools to create their own designs.

An introduction to basic computer science concepts. Lectures will cover topics such as the origins of computing, computer architecture, artificial intelligence, and robotics. There will be some programming exercises.

This course analyzes microeconomic concerns in less-developed countries, specifically economic behavior for agricultural households facing missing and incomplete markets. Topics include agricultural production and input markets, risk and uncertainty, microfinance, and health and education. This course will focus on developing microeconomic models and analyzing empirical evidence.

Examines current events in international trade. The emphasis of this course is on current trade policy debates in the WTO agenda. It investigates topics such as the expansion of regional trade agreements, environmental and labor standards, the TRIPs agreement, agricultural protection and market access, trade in services, and electronic commerce.

The course will illustrate and analyze the strategies used in making interrelated decisions. We will develop game theoretical tools and apply them to examples from economics, business, politics, and even sports. Topics include the prisoner's dilemma, signaling, coordination, voting, and competition. We analyze games in static and dynamic environments with perfect and imperfect information.

A study of statistical methods applied to economic and social data. Measures of central tendency and dispersion, point and interval estimation, hypothesis testing, simple correlation, and simple and multiple regression analysis.

In this class, we will use the lens of economic analysis to examine how environmental problems arise and what can be done to resolve them. This will include an assessment of relevant environmental policies (e.g., carbon tax & cap-and-trade programs), how these policies function, and what impacts they have on people and the economy. Topics include market failures and externalities, pollution, climate change, management of renewable and nonrenewable resources, sustainability, biodiversity, and others.

A study of micro-economic development topics related to how households in lower-income countries consume and produce food. Topics include the causes and consequences of hunger and malnutrition, the agricultural household model, household-level food production and demand, intra-household allocation and bargaining, human and social capital investments and their impacts on food production and consumption, land rights and land use, child labor, and risk, credit and insurance markets used by agricultural households.