Admission to the programme
The mathematics part of this course should give a basis for understanding other courses such as analytical chemistry and statistics, by learning the mathematical logical way of thinking, use of abstract symbols and mathematical techniques. The student should attain a statistical basis in order to be able to evaluate analytical errors, understand analytical variation, calculate reference limits, evaluate methods and plan experiments. The computer science part should give a basis for understanding how computers are used in laboratory instruments and in pasient– and laboratory administrative routines, and also give insight in the use of computer based statistical software.
Mathematics:- Linear and non-linear functions- Differentiation and integration- Graphical representation and techniques for linearisation of non-linear functionsStatistics:- Descriptive statistics, including graphical representation- Probability calculations, with discrete and continuous distributions.- Confidence intervals and hypothesis testing, type of error, analysis of variances using F- and chi-square distributions- Correlation and linear regression- Statistical quality control- Standard software- Statistical softwareComputer science:- Use of computer software focused on statistical software - Computer security
Lectures and computer laboratory.
Admission to the exam requires approval of compulsory exercises.
Written examination, 5 hours.
