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. During the semester problems are given that the student should solve without help from the teacher.
Admission to the exam requires approval of compulsory computer laboratory exercises. It is compulsory to bring the problems and solutions to the exam.
Written examination, 5 hours.
