The course introduces concepts, skills, and tools for working with the Python and R scripting environments. The course is split in two parts, starting with Python and in the second part working with R.' While prior programming experience is not mandatory it highly preferred (esp. Python). Students without any prior coding experience will have to be ready to put significant extra work into the assignments and already should engage in Python basics before the start of the course (please inquire ahead of time alexander.kmoch@ut.ee ). The Python part starts off with environment configuration using conda/mamba, progressing to advanced spatial data structures and operations through the shapely and geopandas libraries. Students learn to work with coordinate reference systems, followed by implementation of spatial queries and reclassification methodologies. Then the course continues with complex spatial analysis including point pattern analysis and processing of LiDAR data. Additional emphasis is placed on modern raster data handling using rasterio and xarray, complemented by both static visualization techniques via matplotlib and interactive mapping solutions via folium. The Python section also includes the application of machine learning to spatial modelling, with a focus on Random Forest implementations for spatial prediction. The R part also starts with installing and configuring the RStudio environment and package management. The course then introduces R's geospatial ecosystem, focusing on vector data manipulation and introductory cartographic techniques. The curriculum encompasses raster data analysis and spatial interpolation. Special attention is given to mobility analysis, demonstrating R's capabilities in processing and analyzing GPS and mobility data. Throughout the course, students are guided to use version control using GitHub and to make their analytical workflows adhering to FAIR research principles (findable, accessible, interoperable, and reusable).

The web-based course revises and expands the knowledge of grammar on prepositions, the rection of the verb and pronouns. Every grammar topic will be introduced by a theoretical part that gives the rules and examples and which is followed by self-test exercises, graded tests and finally, the final test.

The students will study the basics of German grammar, acquire and consolidate vocabulary and develop conversation skills on everyday topics: introducing oneself, meeting someone, travelling, hotels, food, shopping in a department store. Students will practice pronunciation and learn to use dictionaries.

The course is a continuous course (for course FLLC.04.001). The students will study additional language structures: modal verbs, separable and inseparable prefixes of verbs, possessive pronouns, prepositions collocating with the Dative and Accusative case, the verb in the Present Perfect. The conversation topics will be: work and leisure, family and household, sights in city and giving directions. A free conversation using studied vocabulary will be practiced. The main stress of the course will be on improving listening skills and conveying orally what has been heard. Topics are related to everyday and student life. Independent reading will contain easier vocabulary. The prerequisite for attending the course is previously attended 60-hour course and CEF level A1.1. For determining the level, it is advisable to take the language test at http://www.goethe.de/cgi-bin/einstufungstest/einstufungstest.pl

Can assess the impact of the globalization process on different economic fields; Can see the interconnections between the general tendencies of global economy and the development strategies of the Estonian economy; Can assess the impacts of different economic policy instruments on an economy; Has skills for acting in an integrating world. Can assess the impacts of possible Estonia's development strategies on his/her own field of activities; Has ideas for choosing the development strategy for a small country; Can use economic policy instruments Can assess the impacts of possible Estonia's development strategies on his/her own field of activities; Has ideas for choosing the development strategy for a small country; Can use economic policy instruments

In an increasingly interconnected world, there is a growing demand for effective governance beyond the nation state. Many of today's most pressing challenges from climate change, to migration, the proliferation of weapons of mass destruction, or financial crises, exceed the boundaries of the nation state. As such, these challenges also require solutions beyond the nation state. This is what global governance is all about. Global governance as an assemblage of structures (international organizations, regimes, norms) and actors (state and non-state) holds the promise to close this 'governance gap' and to provide cooperative solutions to effectively tackle global challenges in today's world. Understanding global governance is therefore of critical importance for students of contemporary world politics. Against this background, the course Global Governance introduces the conceptual foundations of global governance, characteristic features of contemporary global governance, as well as current debates on the attempt to 'govern the globe'. In the first part, the course introduces the phenomenon of global governance, its defining features and characteristics, challenges, as well as current debates surrounding global governance. In the second part, the course introduces a set of governance arrangements beyond the state across a variety of issue areas ranging from security, trade and finance, development, climate change, to current efforts to govern the cyber domain.