Mathematics and statistics for chemistry and biology

- Arithmetics and algebra

- Logarithms

- Exponential and logarithmic functions

- Polynomial functions

- Trigonometric functions

- Derivation

- Integration

- Descriptive statistics

- Probability calculations

- Probability distributions, discrete and continuous

- Confidence intervals

- Hypothesis testing

- Correlation

- Linear regression

Learning outcome - Knowledge:

The candidate

- have attained good mathematical algebraic skills

- knows the mathematical logical way of thinking

- is able to use abstract symbols

- has a basis for understanding chemistry, biology and statistics

- is able to evaluate analytical errors

- understands analytical variation

- is able to evaluate methods

Learning outcome - Skills:

The candidate can

- do calculations with logarithms

- solve equations

- Treat linear and non-linear functions, including trigonometric functions, exponential and logarithmic functions

- linearize non-linear functions

- find the derivative of polynomial functions, trigonometric functions, exponential functions and logarithmic functions

-calculate integrals and solve simple differential equations

- perform basic probability calculations

- calculate location measures and variance measures

- choose probability model and perform probability calculations with discrete and continuous probability distributions

- calculate confidence intervals

- do hypothesis testing

- evaluate correlation between two stochastic variables

- do linear regression

Learning outcome - Competencies:

The candidate

- is able to use mathematics and statistics to report laboratory measurements

Teaching methods:

Lectures 

Mandatory assignments:

Admission to the exam requires approval of compulsory exercises.