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Grulke, Boo Instructor


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courses taught

  • MATH 1110 - Mathematics for Elementary Educators 1
    Primary Instructor - Fall 2018
    Includes a study of problem solving techniques in mathematics and the structure of number systems. Department enforced prereq., one year of high school algebra and one year of geometry. Department enforced restriction: restricted to prospective elementary teachers.
  • MATH 1112 - Mathematical Analysis in Business
    Primary Instructor - Spring 2018 / Summer 2018 / Fall 2018 / Spring 2019 / Summer 2019 / Fall 2019 / Spring 2020 / Summer 2020 / Fall 2020 / Summer 2021 / Fall 2021
    Gives students experience with mathematical problem solving in real business contexts. Students will work with data and spreadsheets to build and analyze mathematical models. Themes of the course include applying logical operators to model business rules, interpreting data and using tables and graphs, finding break-even and optimal points, and addressing uncertainty and forecasting Degree credit not granted for this course and MATH 1012.
  • MATH 1120 - Mathematics for Elementary Educators 2
    Primary Instructor - Spring 2018
    Topics include geometry, measurement, probability, and statistics. Department enforced restriction: restricted to prospective elementary teachers.
  • MATH 2510 - Introduction to Statistics
    Primary Instructor - Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021
    Elementary statistical measures. Introduces statistical distributions, statistical inference, hypothesis testing and linear regression. Department enforced prerequisite: two years of high school algebra.
  • MATH 3850 - Seminar in Guided Mathematics Instruction
    Primary Instructor - Spring 2018 / Fall 2018 / Spring 2019 / Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021
    Provides learning assistants with an opportunity to analyze assessment data for formative purposes and develop instructional plans as a result of these analyses. These formative assessment analyses will build on the literature in the learning sciences. Students gain direct experiences interacting with the tools of the trade, especially with actual assessment data and models of instruction. May be repeated up to 3 total credit hours. Restricted to learning assistants in Math.