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Apr 19, 2024
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BMMT 224 - Solving Quantitative Problems in Technology [GEQR]
Application of computer-based tools and procedures to the solution of mathematical problems encountered in technology.
Credit 3 hrs May not be repeated for additional credit
Grade Mode Normal (A-F) Course Rotation Fall and Winter
Prerequisites -
Other Restrictions -
Restriction by Major -
Restriction by Class - Undergraduate standing
Rationale for Quantitative Reasoning - This course demonstrates the importance of bringing Mathematics and information technology together to solve problems that are encountered in virtually every person’s career. College graduates are expected to take leadership roles in business, community activities, and other organizations. These responsibilities include managing budgets, collecting and analyzing data on the condition of the organization and making proposals for action based on interpretation of the data. This requires the ability to apply principles of quantitative reasoning and to utilize technological tools such as computer spreadsheets. In the course, students learn to recognize the assumptions made when gathering data and how to choose a model that utilizes the appropriate mathematical, algebraic, geometric, probabilistic, or statistical functions and design a spreadsheet to calculate a solution. Students learn to use the rapid recalculation capabilities of a spreadsheet to compare scenarios, project trends, and make predictions while allowing for the inherent limitations of the model. People in positions of responsibility must report to committees, boards, and the public at meetings. In the course, students learn to display the results of their analysis in graphical form using the extensive library of spreadsheet tools for charting data including trend lines, animated charts, and audience handouts and they gain experience using these tools during presentations to the class. The course is a valuable course for all college graduates who aspire to positions of leadership in their organizations or communities.
Keywords: technology , Quantitative Reasoning (GEQR)
Equivalent Courses: COTS 224, COT 224, STS 224, BEDU 224, BE 224
Updates: Change to prefix 9/2019, effective Fall 2020; Change to Dept. 11/2018, effective Fall 2019; Change to prefix 11/2018, effective Fall 2018; Change to prefix 1/2015, effective Fall 2015; Approved for GEQR 10/2006, effective Winter 2007; Change to dept. 7/2014
Summer 2024 Course Sections
Fall 2024 Course Sections
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