Sep 16, 2024
 HELP 2023-2024 Academic Catalog Archived Catalog Print-Friendly Page (opens a new window) Add to Portfolio (opens a new window)

# M 140 - College Math for Healthcare

Credit(s): 3

Prerequisite(s): appropriate placement test score, a grade of “B-” or better in M 094~ , enrolled in M015, or Math Department consent.

Corequisite(s): M015
This course will apply mathematical reasoning and problem solving to the healthcare field.  Topics covered include operations in the real number system, linear functions, exponential and logarithmic functions, dimensional analysis, concentration calculations, proportional reasoning, introductory statistics (including basic regression analysis), and introductory probability concepts.  This course is intended for students pursuing healthcare programs.   (Fall and Spring Semesters)

Course Learning Outcomes: Upon completion of the course, students will be able to

• Use mathematical techniques to problem solve.
• Understand and apply quantitative concepts and reasoning using numerical data.
• Solve healthcare application problems utilizing real numbers, percents, and linear equations.
• Understand proportional reasoning and solve rational equations including, but not limited to, volume, mass, weight, and temperature.
• Use dimensional analysis to convert units of measurement (including household units, metric units, and apothecary units) and solve healthcare application problems.
• Understand the meaning of range, standard deviation, and the coefficient of variation and apply that knowledge in statistical applications.
• Use and apply basic probability concepts including, but not limited to, probability models, samples spaces, and probability distributions.
• Use and apply basic statistical concepts such as measures of center and spread and the normal distribution.
• Solve logarithmic functions, including application problems in the healthcare field.
• Solve exponential functions, including application problems in the healthcare field.
• Understand and interpret exponential and logarithmic graphs.

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