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Syllabus Information

 

Spring 2022
Nov 21,2024
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Information Use this page to maintain syllabus information, learning objectives, required materials, and technical requirements for the course.

Syllabus Information
BI 213Z - Principles of Zoology
Associated Term: Spring 2022
Learning Objectives: Upon successful completion of this course, the student should 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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