This course examines the principles underlying how animals communicate with each other and why they communicate the way they do by using perspectives drawn from a broad range of disciplines including physics, chemistry, ecology, psychology, economics, and behavioral ecology. Students will explore the primary literature, and work in teams to conduct independent research. The course is intended for advanced undergraduate or graduate students interested in neuroscience and behavior, evolution, wildlife and conservation biology, or zoology. Prereq: BIOL 412.

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.

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.