The summer school aims at introducing students, junior faculty members, and young researchers to important theories and applications of data visualization, statistical and mathematical modeling, and various mathematical tools for model analysis. There will be seven courses which will cover a variety of topics from data modeling to in-depth analysis and mathematical justifications for data-based decision making. The summer school will emphasize on preprocessing a wide variety of data sets, designing data driven hypotheses, developing statistical models to extract relevant inferences, developing data-driven mathematical models, and using modern methods from matrix algebra, knot theory and mathematical analysis to analyze mathematical models.
Official language of the school: English.