This interdisciplinary course introduces students to critical global economic and cultural issues and examines globalization at a variety of scales of analysis (planetary, regional, national, individual). The goal is to provide understanding of the main conceptual approaches to global studies and thus enhance their ability to understand and evaluate important real-world issues and problems.

Investigates a selected issue in public policy or leadership.

Applied Policy Clinics Topics Course

'Impact Investing' is the proactive deployment of financial resources to organizations for a positive return on investment and an additional, intentional social impact beyond financial returns. Impact Investing explores how funders (grant funders, investors, and policymakers) deploy capital to support social entrepreneurs. This course provides an introductory understanding of utilizing finance as a tool for solving social problems worldwide.

Investigates a selected issue in public policy or leadership.

A graduate-level course on deep learning fundamentals and applications with emphasis on their broad applicability to problems across a range of disciplines. Topics include regularization, optimization, convolutional networks, sequence modeling, generative learning, instance-based learning, and deep reinforcement learning. Students will complete several substantive programming assignments. A course covering statistical techniques such as regression.

This experiential learning course applies basic principles of social entrepreneurship to real-world problems that social entrepreneurs are facing. Students will work in teams on challenges proposed by a set of local and international social entrepreneurs. This is a design-thinking-centric course for students interested in investigating how our world is adapting to solve the greatest social and environmental challenges of this century.

Learning tools and concepts for computing on big data. Learn how to use Spark for large-scale analytics and machine learning. Spark is an open-source, general-purpose computing framework that is scalable and blazingly fast. Fundamental data types and concepts will be covered (e.g., resilient distributed datasets, DataFrames) along with Tools for data processing, storage, and retrieval, including Amazon Web Services (AWS).

This course examines the ethical issues arising around big data and provides frameworks, context, concepts, and theories to help students think through and deal with the issues as they encounter them in their professional lives.

Theories and cases studies concerning social, cultural and historical aspects of business, trade, finance, organizations, property systems, regulation and work. How are economic institutions and systems of exchange shaped by social and cultural contexts that they affect in turn? What alternative ways of organizing commerce are suggested by world comparative and historical study?