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Using a Sequential Interpretation of Data in Envelopes (SIDE) approach to identify a mystery TRP channelLearning Objectives
- Students will be able to analyze data from multiple experimental methodologies to determine the identity of their "mystery" TRP channel.
- Students will be able to interpret the results of individual experiments and from multiple experiments simultaneously to identify their "mystery" TRP channel.
- Students will be able to evaluate the advantages and limitations of experimental methodologies presented in this lesson.
Discovery Poster ProjectLearning ObjectivesStudents will be able to:
- identify and learn about a scientific research discovery of interest to them using popular press articles and the primary literature
- find a group on campus doing research that aligns with their interests and communicate with the faculty leader of that group
- create and present a poster that synthesizes their knowledge of the research beyond the discovery
Casting a Wide Net via Case Studies: Educating across the undergraduate to medical school continuum in the biological...Learning ObjectivesAt the end of this lesson, the student should be able to:
- Consider the potential advantages and disadvantages of widespread use of whole genome sequencing and direct-to-consumer genetic testing.
- Explore the critical need to maintain privacy of individual genetic test results to protect patient interests.
- Dissect the nuances of reporting whole genome sequencing results.
- Recognize the economic ramifications of precision medicine strategies.
- Formulate a deeper understanding of the ethical dimensions of emerging genetic testing technologies.
Promoting Climate Change Literacy for Non-majors: Implementation of an atmospheric carbon dioxide modeling activity as...Learning Objectives
- Students will be able to manipulate and produce data and graphs.
- Students will be able to design a simple mathematical model of atmospheric CO2 that can be used to make predictions.
- Students will be able to conduct simulations, analyze, interpret, and draw conclusions about atmospheric CO2 levels from their own computer generated simulated data.