Applied mathematics and data analysis techniques for medical laboratory and environmental science.
Course overview
This course applies mathematical principles to the practical problems faced in medical laboratory and environmental science settings. You will learn to handle the quantitative aspects of laboratory work, from preparing solutions to interpreting complex data sets. The focus is on using mathematics as a tool for accuracy and quality assurance in scientific environments.
We cover statistical methods for quality control, ensuring that laboratory results meet strict regulatory standards. You will also work through dilution calculations and concentration problems that are common in daily lab operations. Data analysis techniques, including regression and correlation, are used to find trends in experimental results. Finally, you will explore probability models to understand diagnostic test performance.
Who takes this course
This course is required for students in the following programs:
It is also offered as an elective for students in Pharmacy Technician, Occupational Therapist & Physiotherapist Assistant, and Medical Office Administration.
Credits: 3 · Hours: 45
Prerequisites
Learning outcomes
- Calculate statistical distributions for laboratory quality control data.
- Perform dilution and concentration calculations for chemical reagents.
- Analyze experimental data using regression and correlation techniques.
- Interpret probability models for diagnostic test accuracy.
Evaluation
| Component | Weight (%) |
| Laboratory data analysis reports | 40 |
| Mid-term examination | 25 |
| Final examination | 35 |