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- (-) Remove Ability to use modeling and simulation filter Ability to use modeling and simulation
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.
What do Bone and Silly Putty® have in Common?: A Lesson on Bone ViscoelasticityLearning Objectives
- Students will be able to explain how the anatomical structure of long bones relates to their function.
- Students will be able to define viscoelasticity, hysteresis, anisotropy, stiffness, strength, ductility, and toughness.
- Students will be able to identify the elastic and plastic regions of a stress-strain curve. They will be able to correlate each phase of the stress-strain curve with physical changes to bone.
- Students will be able to predict how a bone would respond to changes in the magnitude of an applied force, and to variations in the speed or angle at which a force is applied.
- Students will be able to determine the reason(s) why bone injuries occur more frequently during athletic events than during normal everyday use.
The Leaky Neuron: Understanding synaptic integration using an analogy involving leaky cupsLearning ObjectivesStudents will able to:
- compare and contrast spatial and temporal summation in terms of the number of presynaptic events and the timing of these events
- predict the relative contribution to reaching threshold and firing an action potential as a function of distance from the axon hillock
- predict how the frequency of incoming presynaptic action potentials effects the success of temporal summation of resultant postsynaptic potentials
Your Tax Dollars at Work: A mock grant writing experience centered on scientific process skillsLearning ObjectivesStudents will be able to:
- Propose a testable, novel question contributing to a biological field of study.
- Formulate a study rationale.
- Describe relevant background information on a topic using the primary literature.
- Choose appropriate scientific, mathematical, and statistical methods to analyze a research question.
- Determine the financial costs of a research project.
- Present a proposal for peer review and compose a constructive peer review.
- Collaborate as a member of a scientific team.
- Articulate the review criteria and process used in NSF-style proposal review.
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.
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.
A first lesson in mathematical modeling for biologists: RocsLearning Objectives
- Systematically develop a functioning, discrete, single-species model of an exponentially-growing or -declining population.
- Use the model to recommend appropriate action for population management.
- Communicate model output and recommendations to non-expert audiences.
- Generate a collaborative work product that most individuals could not generate on their own, given time and resource constraints.