You will learn some of the world's most powerful predictive models. We cover a variety of machine learning algorithms and survival models. We have a hands-on approach, working on real case studies to deepen our understanding of how machine learning solves business problems. You will be exposed to Python and learn to write Python code. In teams, you will compete with peers to develop the best predictive models using machine learning algorithms.

Nonprofits -- from refugee advocacy groups to homeless shelters to world-class museums and universities -- along with political campaigns and social movements share a common problem: they need money. Fundraising is fuel for action and a marketable skill. This experiential learning class will help you to understand the different types of fundraising and the essentials of designing and executing a development plan by actively raising money.

Covers the fundamentals of probability theory & stochastic processes. Become conversant in the tools of probability. Clearly describe & implement concepts related to random variables, properties of probability, distributions, expectations, moments, transformations, model fit, basic inference, sampling distributions, discrete & continuous time Markov chains, & Brownian motion. Illustrate most topics with both analytic & computational solutions.

Course builds students' skills in "the art of getting things done". Students will establish the critical leadership & team-building competencies that distinguish highly effective leaders. We will introduce frameworks that will enhance student's: resilience; team leadership skills; capacity for thriving in times of adversity; emotional intelligence; interpersonal skills (including conflict resolution & negotiation skills) & decision making.

This course uses basic models from microeconomics to understand how these decision makers will respond to policies and when voluntary actions in private markets may be expected to lead to suboptimal outcomes and hence the circumstances under which a collective decision to control or influence behavior might produce better outcomes than private choices.

This course examines the problems and issues confronting American national security policymakers and the factors that influence the policies that emerge. Types of questions we will address include: What threatens those interests? How should the U.S. defend those interests? What kind of military should we build? Should the U.S. enter alliances with other countries? The course is organized along an historical time line.

Explores mobile device architecture and cyber threats. Examines the security strengths and weaknesses of mobile devices and platforms, as well as corporate mobile security policies and procedures. Topics include mobile device operating system software architecture, mobile application architecture, mobile device and application vulnerability assessment testing, and mobile device forensic analysis.

This course will provide a solid foundation of insights into how Congress works, essential for aspiring public policy advocates. Topics investigated include historical precedents for policymaking, the process of Congressional decision-making, and power dynamics in Congress. We will also identify and develop the leadership skills and tactics of successful advocates, placing recent controversies and public policy issues in an historical context.

NGOs play a growing role in shaping U.S. public policies. Skepticism of federal policymaking has opened opportunities for policy entrepreneurs to challenge well-funded private sector lobbies in shaping the agenda. This seminar will examine tactical options and key case studies to equip future NGO activists. We'll look at best practices from both national and local NGO campaigns, think tanks and grass roots organizations competing to make policy

Provides an overview of the operations, management, and administration of long-term care facilities. Examines the needs and issues related to the geriatric population, the delivery and financing of long-term care services, and the regulatory environment for long-term care.