Dimension theory is a very useful tool to analyze the complicated structure of invariant sets or measures under a smooth chaotic system. While in general the analysis of invariant sets is not yet satisfactory the theory of invariant (hyperbolic) measures is relatively far developed. This makes it

Theoretical foundations of molecular rotations relevant to interpretation of gas phase spectra will be given. We continue to elements of molecular symmetry and explain the basis for molecular vibrations both at harmonic and un-harmonic level. Traditional FTIR and Raman spectroscopic methods will be

Today research feeds us with large amounts of detailed data, yet leaves us unnourished when not providing thorough comprehension. To this end the course on the holistic worldview gives the participants means to analyze and to understand various phenomena in diverse disciplines using the universal

During the intensive course, the student work with measurements of plant physiology at the leaf level. The course has a strong focus on methods and measurements used in crop and ecophysiology. The student will gain knowledge on how plants react to abiotic conditions in the field and greenhouse, and

Data Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Good

PROGRAMMEThe Institute of Energy Systems and Environment offers a two week Summer School including internationally recognized lecturer teams comprised of academic staff, researchers and PhD students. All lecturers and experts involved have international experience and are experts in their fields.

Many researchers in the social sciences use SPSS to perform data analysis, but often formal training in use of the software and how to interpret output is severely lacking. This course aims to eliminate the quantitative skills deficit which exists among many social science researchers. Statistical

The typical introductory econometrics course is mostly confined to the Classical Linear Regression Model. It may also cover a few advanced topics, but with eclectic choice and superficial treatment. This course aims to build a solid, comprehensive understanding of the use of the regression model

This course offers an introduction to MCA, which is a method that allows researchers to observe the patterning of complex data sets through representing categorical variables as points in N-dimensional space. Although it was developed from the later 1960s, MCA has not previously had a large

This course presents the fundamentals of qualitative research methods. It covers the classic sources of qualitative data: interviews, focus groups, participant observation and documentary and historical work. It also discusses the challenges and opportunities of new media including visual images