Dr. Adams teaches several courses in quantitative evolutionary ecology. His primary undergraduate course is Vertebrate Biology. At the graduate level, he alternates between a course in Morphometric Analysis, and a course in Advanced Biostatistics. Links to descriptions and syllabi for these courses are found below.
Dr. Adams is also active in educational ‘outreach.’ In this capacity, he has served as a lecturer and instructor at several International Geometric Morphometrics Workshops, where students and researchers from around the world receive intensive, specialized training in the latest geometric morphometric techniques. Dr. Adams has previously participated as instructor at workshops in Ames, Iowa USA (2006), Ankara, Turkey (2006), Umeå, Sweden (2004), Rome, Italy (2002), and Santiago de Chile, Chile (2001).
Courses Taught at ISU by Dr. Adams
Every Fall: Vertebrate Biology (undergraduate) Syllabus
Evolution, classification, and ecology of major vertebrate lineages: fish, amphibians, reptiles, birds, and mammals. The course uses a comparative approach, examining the evolution, ecology, behavior, anatomy, and life history aspects of vertebrates. Selected topics include: systematics, speciation, locomotion, coloration, thermal adaptations, species interactions, communication and behavior, and spatial patterns. Laboratory exercises concentrate on morphology and identification of orders of vertebrates.
Spring, Even Years: Morphometric Analysis (graduate) Syllabus
A comprehensive overview of the theory and methods for the analysis of biological shape with emphasis on data acquisition, standardization, statistical analysis, and visualization of results. Methods for both landmark and outline data will be discussed.
Spring, Odd Years: Advanced Biostatistics (graduate) Syllabus
Review of the basic univariate and multivariate statistics commonly used in evolutionary and ecological research. The goal of the course is to give students a general idea of what statistical methods are commonly used in evolutionary ecology, which methods are appropriate for which types of data, and to provide a general knowledge of how the methods work.