Conduct of Inquiry courses introduce students to major methodologies, content areas and contributions in the humanistic traditions of various world cultures.

Covers end-to-end processes relating to the capture, organization, use, and protection of data for analytical purposes. You will learn how to build an optimized relational database and use SQL to extract data to support an organization's analytics strategy and provide important managerial insights from raw data. Extraction, transformation, load (ETL) and data privacy/security will also be discussed in the context of modern organizations.

This course provides the opportunity to offer new topics with the subject of Spanish in Translation.

In this course, you will build a more accurate and up-to-date understanding of what drives human behavior, understand the nature and complexity of moral issues that digital technology and analytics raise, and practice making decisions that balance your ability to use analytics and benefit people.

This course presents the simplest economic models explaining how individuals and organizations respond to changes in their circumstances and how they interact in markets, and it applies these models to predict the effects of a wide range of government programs. It also analyzes justifications that have been offered for government actions.

In this course, students will learn the fundamental building blocks of valuing streams of cash flows whether from a financial asset or investment project. Topics to be covered may include the time value of money, discounting, compounding, investment rules including estimating the net present value of a project, and the basics of capital budgeting.

The 9-11 attacks ushered in a new era of international terrorism. Over the course of the Bush, Obama, Trump, and Biden administrations, experts have grappled to employ an effective strategy for countering Al Qaeda, ISIS, and their affiliates. This course explores the lessons of this long, troubled chapter, especially through our engagement in Afghanistan, and seeks to apply those lessons to countering future terrorist threats at home and abroad.

Introduction to regression modeling. Topics will be discussed first in the context of linear regression, and then revisited in the context of logistic regression, ordinal regression, proportional hazards regression, and random forests. Students will be required to fit the models (both MLE and Bayesian) and use the strategies discussed in class.

The threat of international terrorism in the wake of 9/11 prompted costly & controversial US military & stabilization efforts in Afghanistan and Iraq. Initially targeting terrorism, it expanded into regime change. Bush, Obama, & Trump administrations struggled to craft effective strategies, facing setbacks like ISIS & Taliban resurgence. What can we learn from this chapter in America¿s endeavor to counter terrorist and security threats abroad?

This course will introduce students to both the process of public policy and the tools of policy analysis. The first part examines the actors, institutions, and procedures involved in the adoption, implementation, and evaluation of public policy. The second part introduces students to the basic concepts and tools of policy analysis including problem definition, specification of alternatives, and solution analysis.