English

This course examines the applications of artificial intelligence, through its various paradigms, in the solution of business-related problems. Topics include: data mining; artificial neuron networks; text mining; web mining; knowledge-based systems; programming languages for AI; ethics and AI.

Prerequisites: Big Data and Business Analytics 

This course focuses on qualitative research methods within geography. The aim is to provide the students with basic knowledge of how to understand, plan, carry out, write up, and evaluate qualitative research. The course begins by discussing what qualitative research is and how knowledge is established. This is followed by discussions on research ethics, positionality, and representationality within qualitative research. Building upon this knowledge, the course turns to how to develop, plan, and carry out a qualitative research project. Qualitative methods such as interviews, participant observation, and questionnaires are introduced. Qualitative data processing such as coding and computer software available for this are then be introduced. The last part of the course is devoted to the analysis, writing, and presentation of qualitative research. As such, the course takes the students through all the import steps related to qualitative research, from planning, carrying it out, treating the data, evaluating the validity, writing it up, to presenting it.

Film, literature, and the arts have always played a central role in reflecting the attitudes towards the twin ideologies of Nazism and Communism in Central and Eastern Europe. They were central to propagandizing these ideologies and building their strength after World War I. However, they also provided the most vibrant forum for those challenging the totalitarian regimes established by Nazis and Communists. In the period since their fall, politics and academia have frequently failed to enable an accessible debate on their legacy. Thus, film and literature remain the site of a debate. This course explores the theme in a multi-disciplinary manner, drawing on history, political science, literature, film studies, and psychology. A thematical, rather than chronological, approach was selected to emphasize the occurrence of the examined issues across regions and times, using different methods of exploration. As Prague is one of the few capitals that experienced liberal democracy, Nazism, Communism, and a return to liberal democracy over the scope of slightly more than 50 years, first-hand experience through field trips and guest speakers is incorporated into the course to enhance understanding of the topic.

The course offers students "Danish Perspectives" to a wide range of fields within arts and the humanities. Students gain an overview of Danish history, but also Danish culture and religion. Throughout the course students discuss how one can describe the Danes as a people – while at the same time being critical as to whether it is possible to determine a people in such a stereotypical way at all. The course provides a general introduction to various perspectives of Danish culture ranging from literature, music, film, and TV to the narrative culture of the Vikings, the Danish history of slavery, and the perceived particularities of Danish identity and Nordic "exceptionalism."

This course examines the influence of American culture, specifically the American media model, on media in the Czech Republic after the fall of communism in 1989. The course focuses on all aspects of the media, presenting specific examples. It begins with an introduction to American cultural influence on European culture and how this developed after the end of World War II in Western Europe, and after 1989 in Central Europe. It briefly covers the subject of life under communism in order to understand the contrast between the East and the West in Europe. It also focuses on the different existing media models. Students create an “American media model” with its specific characteristics. Students study literature and news items in both the United States and Europe (with an extra focus on the Czech Republic). Upon completion of the course, students understand and articulate American cultural influence in Europe, specifically in Central Europe after 1989; demonstrate their knowledge about both the American and Czech media based on the literature they studied and the examples they have seen and discussed in class and apply this knowledge in their own research; show and explain, in class discussions and in their work, the difference between the media in these two countries and the way this influences the way the news and facts are presented in both countries.

This course introduces concepts and theories behind causal inference in order to predict and analyze a system’s behavior under manipulations. Topics include causal models versus observational models; observational distribution, intervention distribution, and counterfactuals; graphical models and Markov conditions; and identifiability conditions for learning causal relations from observational and/or interventional data. Working with graphs and graphical models, students derive causal effects, predict the result of interventional experiments, perform variable adjustments for computing causal effects, and gain an understanding of and ability to apply different methods for causal structure learning.