Advice: Knowledge of:
Basic statistics: t-test, ANOVA and linear regression.
Basic probability theory: Normal, Binomial and Poisson distributions.
Basic mathematics: Linear algebra at life science bachelor level.
Coordinator: Dhr Dr. H.G.J. van Mil
This course discusses probabilistic theory, statistical analysis and statistical modelling in the context of research in the life sciences. Leading concepts in statistics are introduced from the perspective of empirical inquiry and study design. Basic statistics are quickly reviewed and more advanced statistical methods are introduced to deal with data that cannot be analyzed using standard classical methods.
To understand the probabilistic nature of life processes and its consequences for data analysis in the life sciences. The mastery of a diverse set of method and their related concepts to allow the student to apply these methods to their data and to critically evaluate the application of statistical methods in literature. To develop a strong intuition on the relation between statistics, data and making decisions on hypothesis.
- To design experiments taking into consideration elements of experimental design.
- To independently design a strategy for analyzing the data both qualitatively and quantitatively.
- To extent analysis of the deterministic part of the statistical models and to interpret these models from a system theoretic perspective.
- Reflect on some of the normative issues concerning the statistical analysis of complex systems.
13 October 2014 – 24 October 2014. Timetable will be communicated through blackboard.
Mode of instruction
Lectures, tutorials and assignment. Some lectures must be prepared by the students with the use of web lectures and tutorials.
Written exam and an assignment.
Lectures, screen casts, assignments and course blog will be available on Blackboard.
Set of chapters from the Springer-link library will be published on blackboard. These chapters can be downloaded for free.
Via Usis en enroll in Blackboard
Exchange and Study Abroad students, please see the Prospective students website for more information on how to apply.
We assume at least some basic knowledge of statistics. A small test and video lectures are provided to allow the student to refresh their statistical skills.