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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.
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
Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle...Learning Objectives
- Students will define a Poisson distribution.
- Students will generate a data set on the probability of a T cell being infected with a virus(es).
- Students will predict the likelihood of one observing the mean value of viruses occurring.
- Students will evaluate the outcomes of a random process.
- Students will hypothesize whether a process is Poissonian and design a test for that hypothesis.
- Students will collect data and create a histogram from their data.
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.
Translating Co-Translational TranslocationLearning ObjectivesStudents will be able to:
- list the steps of co-translational translocation in the correct order.
- describe the key functions of molecules involved in co-translational translocation.
- predict the outcome of co-translational translocation if one of the components is missing.
- identify the characteristics of N-terminal ER signal sequences and internal ER signal sequences.
- predict or interpret the results of a protease protection assay used to assess co-translational translocation or transmembrane protein topology.
- predict the topology of a co-translationally translocated protein when given a description of the ER signal sequence or predict the type of ER signal sequence encoded by the mRNA-based protein topology.
Meiosis: A Play in Three Acts, Starring DNA SequenceLearning Objectives
- Students will be able to identify sister chromatids and homologous chromosomes at different stages of meiosis.
- Students will be able to identify haploid and diploid cells, whether or not the chromosomes are replicated.
- Students will be able to explain why homologous chromosomes must pair during meiosis.
- Students will be able to relate DNA sequence similarity to chromosomal structures.
- Students will be able to identify crossing over as the key to proper pairing of homologous chromosomes during meiosis.
- Students will be able to predict the outcomes of meiosis for a particular individual or cell.
An undergraduate bioinformatics curriculum that teaches eukaryotic gene structureLearning ObjectivesModule 1
- Demonstrate basic skills in using the UCSC Genome Browser to navigate to a genomic region and to control the display settings for different evidence tracks.
- Explain the relationships among DNA, pre-mRNA, mRNA, and protein.
- Describe how a primary transcript (pre-mRNA) can be synthesized using a DNA molecule as the template.
- Explain the importance of the 5' and 3' regions of the gene for initiation and termination of transcription by RNA polymerase II.
- Identify the beginning and the end of a transcript using the capabilities of the genome browser.
- Explain how the primary transcript generated by RNA polymerase II is processed to become a mature mRNA, using the sequence signals identified in Module 2.
- Use the genome browser to analyze the relationships among:
- 5' capping
- 3' polyadenylation
- Identify splice donor and acceptor sites that are best supported by RNA-Seq data and TopHat splice junction predictions.
- Utilize the canonical splice donor and splice acceptor sequences to identify intron-exon boundaries.
- Determine the codons for specific amino acids and identify reading frames by examining the Base Position track in the genome browser.
- Assemble exons to maintain the open reading frame (ORF) for a given gene.
- Define the phases of the splice donor and acceptor sites and describe how they impact the maintenance of the ORF.
- Identify the start and stop codons of an assembled ORF.
- Demonstrate how alternative splicing of a gene can lead to different mRNAs.
- Show how alternative splicing can lead to the production of different polypeptides and result in drastic changes in phenotype.
Teaching students to read, interpret, and write about scientific research: A press release assignment in a large, lower...Learning ObjectivesStudents will:
- interpret the main conclusions and their supporting evidence in a primary research article.
- concisely communicate the significance of scientific findings to an educated nonspecialist audience.
- identify the components of a primary research article and the components of the "inverted pyramid" press release structure.
- identify the central figure in a primary research paper and describe its key finding.
- demonstrate an understanding of intellectual property by giving appropriate credit to other people's original work.
Homologous chromosomes? Exploring human sex chromosomes, sex determination and sex reversal using bioinformatics...Learning ObjectivesStudents successfully completing this lesson will:
- Practice navigating an online bioinformatics resource and identify evidence relevant to solving investigation questions
- Contrast the array of genes expected on homologous autosomal chromosomes pairs with the array of genes expected on sex chromosome pairs
- Use bioinformatics evidence to defend the definition of homologous chromosomes
- Define chromosomal sex and defend the definition using experimental data
- Investigate the genetic basis of human chromosomal sex determination
- Identify at least two genetic mutations can lead to sex reversal