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Exploring the March to Mars Using 3D Print ModelsLearning Objectives
- Students will be able to describe the major aspects of the Mars Curiosity Rover missions.
- Students will be able to synthesize information learned from a classroom jigsaw activity on the Mars Curiosity Rover missions.
- Students will be able to work in teams to plan a future manned mission to Mars.
- Students will be able to summarize their reports to the class.
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.
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.
Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active TeachingLearning Objectives
- From raw RNAseq data, run a basic analysis culminating in a list of differentially expressed genes.
- Explain and evaluate statistical tests in RNAseq data. Specifically, given the output of a particular test, students should be able to interpret and explain the result.
- Use the Linux command line to complete specified objectives in an RNAseq workflow.
- Generate meaningful visualizations of results from new data in R.
- (In addition, each chapter of this lesson plan contains more specific learning objectives, such as “Students will demonstrate their ability to map reads to a reference.”)
Mice, Acorns, and Lyme Disease: a Case Study to Teach the Ecology of Emerging Infectious Diseases.Learning ObjectivesStudents will be able to...
- outline the life cycle of ticks and explain the transmission cycle of Lyme disease.
- describe factors that make mice a competent reservoir for Borrelia burgdorferi.
- analyze and interpret line and bar graphs of data on the effects of changes to ecological communities on the risk of human exposure to Lyme disease.
- explain how the incidence of Lyme disease is determined by interactions between bacteria, animals, humans and the environment.
- predict how changes in the ecosystem affect Borrelia burgdorferi transmission.
- explain how human activities affect biodiversity and the consequences of those actions on disease outbreaks.
Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics CourseLearning ObjectivesStudents will be able to:
- list and perform the steps of sequence processing and taxonomic inference.
- interpret microbial community diversity from metagenomic sequence datasets.
- compare microbial diversity within and between samples or treatments.
Air Quality Data Mining: Mining the US EPA AirData website for student-led evaluation of air quality issuesLearning ObjectivesStudents will be able to:
- Describe various parameters of air quality that can negatively impact human health, list priority air pollutants, and interpret the EPA Air Quality Index as it relates to human health.
- Identify an air quality problem that varies on spatial and/or temporal scales that can be addressed using publicly available U.S. EPA air data.
- Collect appropriate U.S. EPA Airdata information needed to answer that/those questions, using the U.S. EPA Airdata website data mining tools.
- Analyze the data as needed to address or answer their question(s).
- Interpret data and draw conclusions regarding air quality levels and/or impacts on human and public health.
- Communicate results in the form of a scientific paper.