Feb 03, 2023  
2021-2022 Lane Community College Catalog 
2021-2022 Lane Community College Catalog [ARCHIVED CATALOG]

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BI 213Z - Principles of Zoology

4 Credit(s)

Survey of comparative vertebrate anatomy, vertebrate evolution, cladistics, and ecology. Skills: dissection, digital documentation, cladogram construction, and mathematical models in biology. Designed for Life Science Majors. College-level writing and math skills strongly encouraged.

Prerequisite: BI 212  and BI 212  with a grade of C- or better or instructor consent.
Learning Outcomes
Upon successful completion of this course, the student will be able to:

  1. Use the concept of evolution to describe current populations with potential natural selection pressures
  2. Define the term species using at least two different definitions. Compare and contrast these definitions for a given real-world situation
  3. Compare and contrast dissections for internal anatomy similarities and differences across vertebrate examples. Propose evolutionary pressures that caused differences to arise
  4. Construct a cladogram for the evolution of vertebrates, filling in the key character changes. Hypothesize alternative cladograms and critically analyze these alternatives
  5. Design and complete a population survey. Identify weaknesses in design and describe limits to sampling. Describe population data using mean and standard deviation statistics
  6. Build a mathematical model of population growth curves. Analyze the mathematical differences between exponential and logistical growth curves
  7. Use the Hardy-Weinberg Theorem to predict and analyze population genetics between generations. Describe the limits to the theorem and how the theorem is useful despite these strict limits
  8. Compare and contrast climate change and ozone depletion. Predict effects of both on populations. Use primary literature to argue for effects
  9. Analyze and draw conclusions from primary literature
  10. Analyze and draw conclusions from data in table or graph form
  11. Locate, evaluate, and utilize appropriate scientific research when predicting outcomes of experiments
  12. Collect, manage, and share data across multiple sections for a multi-week experiment
  13. Analyze data from large data sets to support individual hypotheses. Critique limits of data

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