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  • A A student assists Colorado Parks & Wildlife employees spawning greenback cutthroat trout at the Leadville National Fish Hatchery; B greenback cutthroat trout adults in a hatchery raceway; C tissue samples collected by students to be used for genetic analysis (images taken by S. Love Stowell)

    Cutthroat trout in Colorado: A case study connecting evolution and conservation

    Learning Objectives
    Students will be able to:
    • interpret figures such as maps, phylogenies, STRUCTURE plots, and networks for species delimitation
    • identify sources of uncertainty and disagreement in real data sets
    • propose research to address or remedy uncertainty
    • construct an evidence-based argument for the management of a rare taxon
  • Figure 2. ICB-Students come to class prepared to discuss the text
  • Image from

    Air Quality Data Mining: Mining the US EPA AirData website for student-led evaluation of air quality issues

    Learning Objectives
    Students 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.
  • Plant ecology students surveying vegetation at Red Hills, CA, spring 2012.  From left to right are G.L, F.D, A.M., and R.P.  Photo used with permission from all students.

    Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced students

    Learning Objectives
    Students will:
    • Articulate testable hypotheses. (Lab 8, final presentation/paper, in-class exercises)
    • Analyze data to determine the level of support for articulated hypotheses. (Labs 4-7, final presentation/paper)
    • Identify multiple species of plants in the field quickly and accurately. (Labs 2-3, field trip)
    • Measure environmental variables and sample vegetation in the field. (Labs 2-3, field trip)
    • Analyze soil samples using a variety of low-tech lab techniques. (Open labs after field trip)
    • Use multiple statistical techniques to analyze data for patterns. (Labs 4-8, final presentation/paper)
    • Interpret statistical analyses to distinguish between strong and weak interactions in a biological system. (Labs 4-7, final presentation/paper)
    • Develop and present a conference-style presentation in a public forum. (Lab 8, final presentation/paper)
    • Write a publication-ready research paper communicating findings and displaying data. (Lab 8, final presentation/paper)
  • A three-dimensional model of methionine is superimposed on a phase contrast micrograph of Saccharomyces cerevisiae from a log phase culture.

    Follow the Sulfur: Using Yeast Mutants to Study a Metabolic Pathway

    Learning Objectives
    At the end of this lesson, students will be able to:
    • use spot plating techniques to compare the growth of yeast strains on solid culture media.
    • predict the ability of specific met deletion strains to grow on media containing various sulfur sources.
    • predict how mutations in specific genes will affect the concentrations of metabolites in the pathways involved in methionine biosynthesis.
  • Students present their posters to classmates and instructors during a poster fair.

    Discovery Poster Project

    Learning Objectives
    Students 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
  • Your Tax Dollars at Work: A mock grant writing experience centered on scientific process skills

    Learning Objectives
    Students 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.
  • blind cave fish
  • photo credit John Friedlein. Author (SRB) helps a student troubleshooting RStudio in the workshop session of class.
  • Medical students at a fair. Credit: Danieladelrio

    Casting a Wide Net via Case Studies: Educating across the undergraduate to medical school continuum in the biological...

    Learning Objectives
    At 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.
  • Simplified Representation of the Global Carbon Cycle,

    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.
  • Multiple sequence alignment of homologous cytochrome C protein sequences using Jalview viewer.

    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence...

    Learning Objectives
    At the end of this lesson, students will be able to:
    • Define similarity in a non-biological and biological sense when provided with two strings of letters.
    • Quantify the similarity between two gene/protein sequences.
    • Explain how a substitution matrix is used to quantify similarity.
    • Calculate amino acid similarity scores using a scoring matrix.
    • Demonstrate how to access genomic data (e.g., from NCBI nucleotide and protein databases).
    • Demonstrate how to use bioinformatics tools to analyze genomic data (e.g., BLASTP), explain a simplified BLAST search algorithm including how similarity is used to perform a BLAST search, and how to evaluate the results of a BLAST search.
    • Create a nearest-neighbor distance matrix.
    • Create a multiple sequence alignment using a nearest-neighbor distance matrix and a phylogram based on similarity of amino acid sequences.
    • Use appropriate bioinformatics sequence alignment tools to investigate a biological question.
  • 3D Print Model of the Mars Curiosity Rover, printed from NASA 3D Resources (

    Exploring the March to Mars Using 3D Print Models

    Learning 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.
  • How Silly Putty® is like bone

    What do Bone and Silly Putty® have in Common?: A Lesson on Bone Viscoelasticity

    Learning Objectives
    • Students will be able to explain how the anatomical structure of long bones relates to their function.
    • Students will be able to define viscoelasticity, hysteresis, anisotropy, stiffness, strength, ductility, and toughness.
    • Students will be able to identify the elastic and plastic regions of a stress-strain curve. They will be able to correlate each phase of the stress-strain curve with physical changes to bone.
    • Students will be able to predict how a bone would respond to changes in the magnitude of an applied force, and to variations in the speed or angle at which a force is applied.
    • Students will be able to determine the reason(s) why bone injuries occur more frequently during athletic events than during normal everyday use.
  • Students use plastic Easter eggs and chocolate pieces to simulate the distribution of HIV in T lymphocytes.

    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.
  • Modeling the Research Process: Authentic human physiology research in a large non-majors course

    Learning Objectives
    Students will be able to:
    • Read current scientific literature
    • Formulate testable hypotheses
    • Design an experimental procedure to test their hypothesis
    • Make scientific observations
    • Analyze and interpret data
    • Communicate results visually and orally
  • Students using the Understanding Eukaryotic Genes curriculum to construct a gene model. Students are working as a pair to complete each Module using classroom computers.

    An undergraduate bioinformatics curriculum that teaches eukaryotic gene structure

    Learning Objectives
    Module 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.
    Module 2
    • 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.
    Module 3
    • 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:
    • pre-mRNA
    • 5' capping
    • 3' polyadenylation
    • splicing
    • mRNA
    Module 4
    • 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.
    Module 5
    • 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.
    Module 6
    • 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.
  • MA plot of RNA-seq data. An MA plot is a visual summary of gene expression data which identifies genes showing differential expression between two treatments.

    Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using Galaxy

    Learning Objectives
    • Students will locate and download high-throughput sequence data and genome annotation files from publically available data repositories.
    • Students will use Galaxy to create an automated computational workflow that performs sequence quality assessment, trimming, and mapping of RNA-seq data.
    • Students will analyze and interpret the outputs of RNA-seq analysis programs.
    • Students will identify a group of genes that is differentially expressed between treatment and control samples, and interpret the biological significance of this list of differentially expressed genes.
  • Peterson MP, Rosvall KA, Choi J-H, Ziegenfus C, Tang H, Colbourne JK, et al. (2013) Testosterone Affects Neural Gene Expression Differently in Male and Female Juncos: A Role for Hormones in Mediating Sexual Dimorphism and Conflict. PLoS ONE 8(4): e61784. doi:10.1371/journal.pone.0061784

    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

    Learning 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.”)
  • Using phylogenetics to make inferences about historical biogeographic patterns of evolution.

    Building Trees: Introducing evolutionary concepts by exploring Crassulaceae phylogeny and biogeography

    Learning Objectives
    Students will be able to:
    • Estimate phylogenetic trees using diverse data types and phylogenetic models.
    • Correctly make inferences about evolutionary history and relatedness from the tree diagrams obtained.
    • Use selected computer programs for phylogenetic analysis.
    • Use bootstrapping to assess the statistical support for a phylogeny.
    • Use phylogenetic data to construct, compare, and evaluate the role of geologic processes in shaping the historical and current geographic distributions of a group of organisms.
  • Train tracks, image author: Mitya Ilyinov

    BioMap Degree Plan: A project to guide students in exploring, defining, and building a plan to achieve career goals

    Learning Objectives
    Students 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
  • Phylogeny of HIV1 pol genes sequenced anonymously from viral pools of six victims and the defendant (CCO1-CCO7), plus control samples. Used with permission from Proceedings of the National Academy of Sciences of the United States of America.

    Forensic Phylogenetics: Implementing Tree-thinking in a Court of Law

    Learning Objectives
    • Students will be able to infer the topological and temporal relationships expected in an evolutionary tree (phylogeny) of a pathogen in the case of transmission from one host to the next.
    • Students will be able to draw trees representing the transmission events from one host (patient zero) to multiple secondary patients.
  • Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course

    Learning Objectives
    Students 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.
  • Bacteria growing on petri dish

    You and Your Oral Microflora: Introducing non-biology majors to their “forgotten organ”

    Learning Objectives
    Students will be able to:
    • Explain both beneficial and detrimental roles of microbes in human health.
    • Compare and contrast DNA replication as it occurs inside a cell versus in a test tube
    • Identify an unknown sequence of DNA by performing a BLAST search
    • Navigate sources of scientific information to assess the accuracy of their experimental techniques
  • Sliced vegan no-knead whole what bread loaf” by is licensed under CC BY-SA 2.0
  • This is the question when working with pH and pKa. This is original artwork by the author and no copyright is violated.

    Taking the Hassle out of Hasselbalch

    Learning Objectives
    Students will be able to:
    1. Characterize an aqueous environment as acidic or basic.
    2. Explain that pKa is a measure of how easy it is to remove a proton from a molecule.
    3. Predict ionization state of a molecule at a particular pH based on its pKa (qualitative use of the Henderson-Hasselbalch equation).
    4. Calculate the ratio of protonated/unprotonated forms of ionizable groups depending on chemical characteristics and /or environment pH (quantitative use of the Henderson-Hasselbalch equation).
    5. Apply this knowledge in a medical context.
  • Teaching epidemiology and principles of infectious disease using popular media and the case of Typhoid Mary

    Learning Objectives
    Students will be able to:
    • Describe the reservoirs of infection in humans.
    • Distinguish portals of entry and exit.
    • Describe how each of the following contributes to bacterial virulence: adhesins, extracellular enzymes, toxins, and antiphagocytic factors.
    • Define and distinguish etiology and epidemiology.
    • Describe the five typical stages of infectious disease and depict the stages in graphical form.
    • Contrast contact, vehicle and vector transmission, biological and mechanical vectors and identify the mode of transmission in a given scenario.
    • Differentiate endemic, sporadic, epidemic, and pandemic disease.
    • Distinguish descriptive, analytical, and experimental epidemiology.
    • Compare and contrast social, economic, and cultural factors impacting health care in the early 1900s and today.
  • Format of a typical course meeting
  • Two cells stained

    Bad Cell Reception? Using a cell part activity to help students appreciate cell biology, with an improved data plan and...

    Learning Objectives
    • Identify cell parts and explain their function
    • Explain how defects in a cell part can result in human disease
    • Generate thought-provoking questions that expand upon existing knowledge
    • Create a hypothesis and plan an experiment to answer a cell part question
    • Find and reference relevant cell biology journal articles
  • DNA barcoding research in first-year biology curriculum

    CURE-all: Large Scale Implementation of Authentic DNA Barcoding Research into First-Year Biology Curriculum

    Learning Objectives
    Students will be able to: Week 1-4: Fundamentals of Science and Biology
    • List the major processes involved in scientific discovery
    • List the different types of scientific studies and which types can establish causation
    • Design experiments with appropriate controls
    • Create and evaluate phylogenetic trees
    • Define taxonomy and phylogeny and explain their relationship to each other
    • Explain DNA sequence divergence and how it applies to evolutionary relationships and DNA barcoding
    Week 5-6: Ecology
    • Define and measure biodiversity and explain its importance
    • Catalog organisms using the morphospecies concept
    • Geographically map organisms using smartphones and an online mapping program
    • Calculate metrics of species diversity using spreadsheet software
    • Use spreadsheet software to quantify and graph biodiversity at forest edges vs. interiors
    • Write a formal lab report
    Week 7-11: Cellular and Molecular Biology
    • Extract, amplify, visualize and sequence DNA using standard molecular techniques (PCR, gel electrophoresis, Sanger sequencing)
    • Explain how DNA extraction, PCR, gel electrophoresis, and Sanger sequencing work at the molecular level
    Week 12-13: Bioinformatics
    • Trim and assemble raw DNA sequence data
    • Taxonomically identify DNA sequences isolated from unknown organisms using BLAST
    • Visualize sequence data relationships using sequence alignments and gene-based phylogenetic trees
    • Map and report data in a publicly available online database
    • Share data in a formal scientific poster
  • Reprinted by permission from Macmillan Publishers Ltd.

    A Hands-on Introduction to Hidden Markov Models

    Learning Objectives
    • Students will be able to process unannotated genomic data using ab initio gene finders as well as other inputs.
    • Students will be able to defend the proposed gene annotation.
    • Students will reflect on the other uses for HMMs.
  • Monarch larvae

    Does it pose a threat? Investigating the impact of Bt corn on monarch butterflies

    Learning Objectives
    Students will be able to:
    • Apply genetics concepts to a relevant case study of Bt corn and monarch butterflies
    • Read figures and text from primary literature
    • Identify claims presented in scientific studies
    • Evaluate data presented in scientific studies
    • Critically reason using data
    • Evaluate the consequences of GM technology on non-target organisms
    • Communicate scientific data orally
  • Graphic of structured decision making process

    Using Structured Decision Making to Explore Complex Environmental Issues

    Learning Objectives
    Students will be able to:
    1. Describe the process, challenges, and benefits of structured decision making for natural resource management decisions.
    2. Explain and reflect on the role of science and scientists in structured decision making and how those roles interact and compare to the roles of other stakeholders.
    3. Assess scientific evidence for a given management or policy action to resolve an environmental issue.