(Department)  Biomedical Engineering         (Division)     
 
 (Level and Major)     Undergraduate      
 

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Course Title              Biostatistics and Probability                           
 
Number of Credits       3             Prerequisite  

Course Description:
A basic introduction to techniques for data visualization, and statistical reasoning.
 
Course Goals and Objectives:
To enable students to exploit relevant statistical techniques in experiment design and experimental research.
 
Course Topics:

• Descriptive statistics:

Population and sample, frequency distributions, averages, medians, variances, data visualization; histograms, box plots.

• Probability:

The concept of probability as foreseeable relative frequency distribution, Sets and notation conventions; probability arithmetic, probability theorems, counting techniques.

• Inferential Statistics:

Introductory design of experiments (DoE),
Risk and odds, confidence intervals, Hypothesis testing (Z, T tests), Correlation and regression, Analysis of Variance (AnoVa) and F-test.
 
The course aims to:
Students will acquire the relevant techniques for statistical data analysis and inference, and work with some of the relevant software (R, Excel, Matlab)
 
Reading Resources:

• Nematollahi, Engineering Statistics and probability, Dalfac publishing.
• Adams, Hand book of biological statistics

 
Evaluation
40% Finals
30% Midterms
15% Homework
15% Course project