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May 03, 2026
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HMATH 100 - Math for Health Professions Credits: 5 Variable Credit Course: No
Lecture Hours: 55 Lab Hours: 0 Worksite/Clinical Hours: 0 Other Hours (LIA/Internships): 0
Course Description: This course is non-transferable and for health-profession students only. Covers fundamental mathematical skills and their use in healthcare settings. Applications include calculating biometrics and medication dosages and converting between measurement systems. Other topics include scientific notation, medical abbreviations and statistical literacy.
Prerequisite: MATH 096 with a C or higher (or placement into MATH 097/WMATH 100).
Meets FQE Requirement: No Elective Requirements: Fulfills Academic Electives Integrative Experience Requirement: No
Student Learning Outcomes
- Perform the four arithmetic operations on integers, fractions, and decimals.
- Use estimation and dimensional analysis to validate calculations.
- Convert between measurement systems.
- Apply arithmetic operations in the context of medical professions.
- Apply statistical literacy skills to evaluate the results and reliability of medical trials.
Course Contents
- Arithmetic operations: Perform addition, subtraction, multiplication, and division on integers, fractions with like and unlike denominators, and decimals.
- Validation techniques: Estimating by rounding. Use dimensional analysis to assess reasonableness of results.
- Conversions: Use formulas, conversion factors and dimensional analysis to convert volumes, weights, temperatures, and duration between US customary and metric units.
- Applications: Use mathematical techniques to solve application problems such as: computing biometrics; calculating strength of percentage solutions; adjusting medications based on weight; and computing dosages from carpules/cartridges.
- Statistical Literacy: Use statistical terminology. Identify methods of data collection and experiment design. Identify sources of bias. Distinguish between correlation and causation. Explain how spurious correlation can be misleading. Create or interpret visual representations of data. Compute descriptive statistics including mean, median, and standard deviation. Interpret (but don’t compute) normalized test scores, confidence intervals, and the results of hypothesis tests.
Instructional Units: 5
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