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- (-) Remove Assessment of individual student performance filter Assessment of individual student performance
- (-) Remove Ability to use modeling and simulation filter Ability to use modeling and simulation
- (-) Remove Evolution filter Evolution
Furry with a chance of evolution: Exploring genetic drift with tuco-tucosLearning Objectives
- Students will be able to explain how genetic drift leads to allelic changes over generations.
- Students will be able to demonstrate that sampling error can affect every generation, which can result in random changes in allelic frequency.
- Students will be able to explore and evaluate the effect of population size on the strength of genetic drift.
- Students will be able to analyze quantitative data associated with genetic drift.
Understanding Protein Domains: A Modular ApproachLearning Objectives
- Students will be able to compare protein sequences and identify conserved regions and putative domains.
- Students will be able to obtain, examine, and compare structural models of protein domains.
- Students will be able to interpret data on protein interactions (in vitro pull-down and in vitro and in vivo functional assays)
- Students will be able to propose experiments to test protein interactions.
Building Trees: Introducing evolutionary concepts by exploring Crassulaceae phylogeny and biogeographyLearning ObjectivesStudents will be able to:
- Estimate phylogenetic trees using diverse data types and phylogenetic models.
- Correctly make inferences about evolutionary history and relatedness from the tree diagrams obtained.
- Use selected computer programs for phylogenetic analysis.
- Use bootstrapping to assess the statistical support for a phylogeny.
- Use phylogenetic data to construct, compare, and evaluate the role of geologic processes in shaping the historical and current geographic distributions of a group of organisms.