• Course Description:

    This course will introduce students to Sports Analytics and allow them to use sports data to run statistical leagues, make arguments on why certain positional players are more important to success than others, and allow them to make predictions on player performances. This course is designed to allow the ability to look at historical data and compare and contrast players from different eras to determine who is considered the best at a position. Each unit will cover a different sport and facets of sports data, given the users ability to draw conclusions based on their work.

    Course Competencies/Learning objectives:

    Students will be able to:

    1. Make sence of problems and persevere in solving them.
    2. Reason abstractly and quantitatively.
    3. Construct viable arguments and critique the reasoning of others.
    4. Model with mathematics by interpreting results in the context of the situation and by reflecting as to whether the results make sense.
    5. Communicate precisely with others.
    6. Use Appropriate tools stretegically.
    7. Look for and make use of structure.