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Here we show the best projects done in the first year of the assignment. We wanted to select one to three best, but in the end, we chose to show four projects. We want the students next year to have a set of examples of how we would like their work to look like. But more importantly, we want to brag a little.
We selected the following final projects (in alphabetical order, with the language of the submitted report):
You can view the student's submissions for yourself here.
Students in this work show how rich sources of data are the official statistics, namely the Statistical Office of the SR. The work starts with a retrospective look at the effects of the legislative novelization of 2009, then the characteristics of different regions, and concludes with an investigation of the security on railway crossings. We recognize this work for creativity in obtaining data and hard-core statistical approach to their investigations.
This very grounded work stems from research done in the TAČR project “Apparatus for non-invasive automatic analysis of hemodynamic parameters” at the Department of Physics. The work targeted a clinical problem of how to estimate a hardly measurable parameter needed for the Pulse Wave Velocity (PWV) measurement of arterial stiffness. Students analyzed their dataset in-depth and investigated the options for predicting the jugulum-aortic bifurcation from other known information about the patient, like BMI or arm circumference. The outcome of this work was a simple model that could, on the tested population, replace a cumbersome measurement in the clinical practice of preventing cardiovascular diseases. We recognize this work for its contribution to ongoing research and clear direction of applying the methods from the course to get a solution for a practical problem.
The project focused on analyzing the socioeconomic factors that affect newborn mortality in different countries using global UNESCO and WorldBank data. The work identified what the data show to be the most prominent factors in high mortality rates, looked into commonalities between countries, and identified cases of exception. Students showed a wide range of techniques covering almost all of the course topics and even investigated beyond when needed. Although the topic was not original, the solution was sound, and students put their results into the context of other similar studies, providing a detailed comparison.
A very original work that analyzed an important contemporary question using data from the Czech Statistical Office (ČSÚ). The project set out to study the effect of the influx of Ukrainian refugees on the job market in the Czech Republic and, in particular, the unemployment rate of women. We especially recognized the originality of the work and that students studied well beyond the scope of the course to apply techniques from timeseries analysis.