Students will learn the fundamentals of product management. Topics include identifying unmet needs, understanding markets, implementing product development frameworks and processes, building businesses, and working with multi-functional teams. The application …
The course is designed to not only teach students tools necessary to visualize data but also effective techniques for explaining data driven results with an emphasis on communicating statistical output …
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, …
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 …
Explores principles and applications of data ethics within a broader social framework that prioritizes conversations about policy, regulatory frameworks, accountability, transparency, and governance models. Will discuss who is responsible for …
This course will center on exposing students to contemporary pipelines for data analysis through a series of steadily escalating use cases. The course will begin with simple local database construction …
This class is an introduction to Latin dancing including Salsa, Bachata, Merengue, Cha-cha and other forms of Latin partner dance. We will cover the fundamentals of leading and following, as …
An overview of the fields of social psychology and behavioral science. We will explore behavioral research in basic social psychology, leadership and organizational behavior, and the ways in which social …
'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 …
Trends in hardware and software for Big Data Systems and applications. Cover principles driving data infrastructures, which enabled the training of AI models on datasets (speech, sounds, images, video, languages) …