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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.
Predicting and classifying effects of insertion and deletion mutations on protein coding regionsLearning ObjectivesStudents will be able to:
- accurately predict effects of frameshift mutations in protein coding regions
- conduct statistical analysis to compare expected and observed values
- become familiar with accessing and using DNA sequence databases and analysis tools
Cell Signaling Pathways - a Case Study ApproachLearning Objectives
- Use knowledge of positive and negative regulation of signaling pathways to predict the outcome of genetic modifications or pharmaceutical manipulation.
- From phenotypic data, predict whether a mutation is in a coding or a regulatory region of a gene involved in signaling.
- Use data, combined with knowledge of pathways, to make reasonable predictions about the genetic basis of altered signaling pathways.
- Interpret and use pathway diagrams.
- Synthesize information by applying prior knowledge on gene expression when considering congenital syndromes.
Investigating the Function of a Transport Protein: Where is ABCB6 Located in Human Cells?Learning ObjectivesAt the end of this activity students will be able to:
- describe the use of two common research techniques for studying proteins: SDS-PAGE and immunoblot analysis.
- determine a protein’s subcellular location based on results from: 1) immunoblotting after differential centrifugation, and 2) immunofluorescence microscopy.
- analyze protein localization data based on the limitations of differential centrifugation and immunofluorescence microscopy.
Investigating Cell Signaling with Gene Expression DatasetsLearning ObjectivesStudents will be able to:
- Explain the hierarchical organization of signal transduction pathways.
- Explain the role of enzymes in signal propagation and amplification.
- Recognize the centrality of signaling pathways in cellular processes, such as metabolism, cell division, or cell motility.
- Rationalize the etiologic basis of disease in terms of deranged signaling pathways.
- Use software to analyze and interpret gene expression data.
- Use an appropriate statistical method for hypotheses testing.
- Produce reports that are written in scientific style.
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.