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.

Qualitative research refers to meanings, concepts, definitions, characteristics, metaphors, symbols, and descriptions of phenomena for study in the natural world. In this class we make linkages to existing research theories and intelligence methodologies. We introduce case study research and design issues.

In this course students will learn about surveys research. Questions such as ?What is a survey?? and ?Why conduct surveys?? will be posed and answered. Students will learn about ethical issues in survey design and methods. Additional topics include survey error, sampling, nonresponse issues, survey data collection strategies, and survey question design and errors.

In this course students will develop a data science tool kit they may use to investigate research questions. The methodological approaches students will be exposed to include linear regression, classification, resampling methods, linear model selection, tree-based methods, unsupervised learning, and network analysis. Ethical approaches to the use of data science are reviewed in this class.