In this class we define intelligence and focus on analysis. We identify intelligence organizations relationships with policymakers and the types of intelligence products they produce. Students will learn to identify and create intelligence requirements and the related variables and collection targets. We will explore analytical approaches and develop critical thinking skills. In this class we will define data, the causes of intelligence failures, and identify creativity in intelligence analysis.

In this class students explore the differences between academic research and intelligence analysis. We will explore research design and how to select a research approach based on intelligence requirements. You will learn about the ethical conduct of social science research. Building on the framework of intelligence requirements you will learn how to define a research problem and develop related research questions, hypothesis, and design research using appropriate methods.

Quantitative Design and Analysis I introduces students to data and data analysis. The course provides an overview of statistical learning. Students will learn approaches for stating and refining research questions. We will employ the epicycles of analysis approach to conduct exploratory data analysis. Students will learn how to describe data and use appropriate counting techniques. Basic data visualization will be employed using R.

Students in this course will investigate the cognitive science behind writing and intelligence analysis. Topics include heuristics and chunking, speaking and writing, writing schemes, creativity, analytical writing, organization, presentation, collaboration, editing, case studies, presenting technical information, and decision-maker feedback. Case studies on the psychology of political behavior are presented.