Course Description

Data processing, statistical models and analyses and their fundamental characteristics will be discussed. Emphasis is placed on the properties of the various models and analytical methods which are relevant to environmental protection issues. Analytical methods and their close relationship to the design of field and experimental studies will be stressed. With this information, the students should be able to validate and precisely define approaches to problems, both methodically and analytically; plan their own studies; choose methods; carry out the collection of appropriate data and execute analyses which are as relevant and precise as possible. Also important will be the students’ ability to understand and evaluate the strengths and weaknesses of the methods and analyses employed in their own and other people’s scientific investigations. The exercises will involve the practical use of design and analysis methods.

Assessment Methods

Grades will be given for two part-exams: submitted exercises count collectively for 40% and a written 3-hour final examination will count for 60% of the final grade. Both elements must receive a passing grade.

Minor adjustments may occur during the academic year, subject to the decision of the Dean