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- (-) Remove Introductory Biology filter Introductory Biology
- (-) Remove Assessment of individual student performance filter Assessment of individual student performance
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BioMap Degree Plan: A project to guide students in exploring, defining, and building a plan to achieve career goalsLearning ObjectivesStudents will be able to...
- Identify their values and interests.
- Identify careers that align with their values and interests.
- Identify academic programs and co-curricular experiences that will prepare them for a career.
- Create the first draft of a BioMap Degree Plan to support achievement of their career goals.
- Articulate how their undergraduate academic experience will prepare them for their future career.
- Use professional communication skills
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.
A clicker-based case study that untangles student thinking about the processes in the central dogmaLearning ObjectivesStudents will be able to:
- explain the differences between silent (no change in the resulting amino acid sequence), missense (a change in the amino acid sequence), and nonsense (a change resulting in a premature stop codon) mutations.
- differentiate between how information is encoded during DNA replication, transcription, and translation.
- evaluate how different types of mutations (silent, missense, and nonsense) and the location of those mutations (intron, exon, and promoter) differentially affect the processes in the central dogma.
- predict the molecular (DNA size, mRNA length, mRNA abundance, and protein length) and/or phenotypic consequences of mutations.