Tara Rajaniemi, PhD

Introduction to experimental design & statistical analysis of data in the biological sciences. Topics include design of experiments to yield valid & reliable conclusions; methods to summarize data numerically & graphically; and statistical techniques to test hypotheses involving one or two variables.

A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.

A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.

A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.

A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.

A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.

The principles and practices of the scientific discipline of ecology. Interactions among organisms and between organisms and their environment will be emphasized. Interactions will be described and analyzed at the organismal, population, community, and ecosystem levels. In the laboratory, students will use hypothesis-testing and experimentation to examine theoretical and empirical aspects of ecology.

Patterns and processes shaping distributions, abundance, and diversity of species. Topics include interactions between pairs of species, structuring of multispecies communities, and responses of species pairs and larger species networks to the physical environment. These questions are explored through conceptual frameworks of communities, mathematical models, foundational publications in the field, and current research. Plant, animal, and microbial communities are considered.

Patterns and processes shaping distributions, abundance, and diversity of species. Topics include interactions between pairs of species, structuring of multispecies communities, and responses of species pairs and larger species networks to the physical environment. These questions are explored through conceptual frameworks of communities, mathematical models, foundational publications in the field, and current research. Plant, animal, and microbial communities are considered.

Terms and hours to be arranged. Graded A-F.