MathematicsLaajuus (3 ECTS)

Objective

Students perform basic calculations and apply these to biomedical laboratory work, convert units, solve equations, and identify and describe mathematical dependencies. Students draw conclusions from distributions, use spreadsheet software to calculate and analyse statistical parameters and correlation between variables, and interpret and assess statistical reports in laboratory work.

Content

Mathematics, 1.5 cr.
Unit conversions, significance of figures, powers and square roots, linear equations and proportions, logarithms, exponential functions

Statistical Mathematics, 1.5 cr.
Statistical parameters related to quality control and statistical reporting, confidence intervals, correlation, regression model, diagrams, tables, application of spreadsheet software, interpretation and evaluation of statistical reports

Qualifications

Prerequisites: Statistical mathematics: Basics of Information Technology

Assessment criteria, satisfactory (1)

Students perform basic calculations and apply these to biomedical laboratory work, convert units, solve equations, and identify and describe mathematical dependencies. Students draw conclusions from distributions, use spreadsheet software to calculate and analyse statistical parameters and correlation between variables, and interpret and assess statistical reports in laboratory work.

Assessment criteria, good (3)

Students perform basic calculations to a good standard and apply these to biomedical laboratory work, convert units, solve equations and identify and describe mathematical dependencies.
They draw conclusions from distributions to a good standard, use spreadsheet software to calculate and analyse statistical parameters and correlation between variables and interpret and assess statistical reports in laboratory work.

Assessment criteria, excellent (5)

Students perform basic calculations to an excellent standard and apply these to biomedical laboratory work, convert units, solve equations and identify and describe mathematical dependencies.
They draw excellent conclusions from distributions, use spreadsheet software to calculate and analyse statistical parameters and correlation between variables to an excellent standard and interpret and assess statistical reports in laboratory work.