Spatial analyzes in economic research

General data

Course ID:	2400-PP3SL288
Erasmus code / ISCED:	14.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0311) Economics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Spatial analyzes in economic research
Name in Polish:	Analizy przestrzenne w badaniach ekonomicznych
Organizational unit:	Faculty of Economic Sciences
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	(unknown)
Type of course:	B.Sc. seminars
Short description:	1. The aim of the course is to prepare students to write a bachelor thesis that meets all the formal requirements for such works. The expected effect is a bachelor's thesis. 2. The topics of the classes will include the use of statistical and econometric tools, including spatial econometric models and machine learning algorithms, in modeling spatial and socio-economic phenomena. Both theoretical aspects of the models and practical problems arising during estimation and interpretation will be analyzed. 3. The first classes in the subject will be devoted to discussing the requirements for bachelor theses and the scope of the topic of the seminar. The next classes will consist of the presentation of abstracts, literature reviews, work progress and results by the participants of the seminar. 4. The classes are intended for undergraduate students.
Full description:	The aim of the course is to prepare students to write a bachelor's thesis that meets all the formal requirements for such work. The expected effect is a bachelor's thesis. The topics of the classes will include the use of statistical and econometric tools, including spatial econometric models and machine learning algorithms, in modeling spatial and socio-economic phenomena. Both theoretical aspects of the models and practical problems arising during estimation and interpretation will be analyzed. The first classes of the subject will be devoted to discussing the requirements for bachelor theses and the scope of the topic of the seminar. The next classes will consist of the presentation of abstracts, literature reviews, work progress and results by the participants of the seminar. Classes are intended for undergraduate students. In particular, the subject of bachelor theses may include: - modeling the processes of regional and local convergence - modeling regional and local inequalities - modeling migration at the regional and local level - use of satellite data (night-time lights intensity and high-resolution daytime images) to model socio-economic phenomena at the regional and local level.
Bibliography:	The required and recommended literature will depend on the specific topic of the bachelor's thesis and will be clarified during the course.
Learning outcomes:	Efekty kształcenia After completing the seminar, the student: - has in-depth knowledge of theoretical literature as well as economic modeling (methods, techniques) of a chosen field - knows the tools for describing socio-economic processes in depth - knows how to interpret and explain the mechanisms of interaction of social and economic phenomena observed in the economy - can use theoretical knowledge to describe and analyze the causes, course or consequences of socio-economic processes, formulate research hypotheses and select an appropriate method of analysis and data for their verification - can analyze the causes and course of socio-economic processes and phenomena - can forecast and model socio-economic processes with the use of advanced quantitative and econometric methods, including those taking into account spatial aspects - has the ability to prepare a written (bachelor) thesis in Polish or English - has the ability to prepare oral presentations in Polish in the selected field - can independently and critically supplement knowledge in a selected field in the process of creating a bachelor thesis KW01, KW02, KW03, KU01, KU02, KU03, KK01, KK02, KK03
Assessment methods and assessment criteria:	To complete the first semester: continuous assessment (current preparation of abstracts and presentations). For the final assessment: submission of the bachelor thesis.

This course is not currently offered.

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