Program
Year
Year 1
Semester
Second Semester
Credit
3
Program Description
Statistical analysis and probability theory applied to biological and health data.
Course overview
This course introduces the statistical methods essential for interpreting data in health sciences. You will learn how to collect, analyze, and present biological and health data using probability theory and statistical inference. The focus is on practical application, ensuring you can make evidence-based decisions in clinical and research settings.
Who takes this course
Credits: 3 · Hours: 45
Prerequisites
None
Learning outcomes
- Calculate measures of central tendency and dispersion for health data sets.
- Apply probability distributions to biological scenarios.
- Construct and interpret confidence intervals for population parameters.
- Perform hypothesis tests to evaluate health-related claims.
- Use regression analysis to model relationships between health variables.
Evaluation
| Component | Weight (%) |
| Mid-term examination | 30 |
| Laboratory reports | 30 |
| Final examination | 40 |