Meklēšana

,andtopicalnational problemsof productivity and competitiveness were defined and analysed in-depth; Thestaff and doctoral students of theFaculty of Business, Management and Economicsof theUniversity of Latvia were successfully involved in productivity research. It was recommended to publishpresentedresearch findingsand contributions of invited authors in a monograph.As a result, in May 2019areviewedmonograph entitled “Raising Productivity: Trends and Future Challenges” was published. In September 2019, the Forum LV PEAK has submitted to the Latvian government the first productivity report and productivity-related policy recommendations . On October 29, 2019, based on the recommendation of the Council of the European Union and taking into account that the Forum LV PEAK alreadyplays the role andfulfilsmajortasks of National Productivity Board–provideshigh qualityindependentanalysisof productivity-related issues, makes their results available in the public domain, makes a valuable contribution

In case of questions or concerns do not hesitate to contact: UL Department of Study Service: studentu.serviss@lu.lv UL Students’ Council: lusp@lusp.lv

If you want to know more about the Faculty of Humanities, as well as about the studies and other activities at the University of Latvia, visit annual Open Days that are organized each spring. At the event, everyone gets an opportunity to learn more about the offered courses, modules, admission requirements, etc. Moreover, you will be able to meet the members of the academic staff, and get your questions answered. The Student Council also participates in Open Days, offering information on the valuable experience anyone can get being a student at the Faculty of Humanities. Moreover, the representatives of the Student Council usually talk about a variety of extra-curricular activities, offered at the Faculty of Humanities. Finally, there is an opportunity to participate in a quiz, winning the prizes, carefully prepared by the Student Council. The event “Open Days” is usually organized during the school holidays.

With the structural changes in society and the economy, which are accompanied by tendencies of individualization and fragmentation of society, it is becoming increasingly difficult to analyze social processes only from the perspective of collective social institutions. Therefore, when researching the spread of new ideas, cooperation between citizens and conflict, the methods of social network analysis are increasingly used. The aim of the course is to provide students with the opportunity to acquire basic knowledge of social network analysis methods and their application in the analysis of economic, social and communicative processes. The tasks of the course are 1. To learn the most important concepts of network theories. 2. To get acquainted with the main analytical methods of networks, network data acquisition, processing, analysis, visualization 3. To acquire skills in working with social network visualization programs Gephi and Ucinet. The course is taught in Latvian and English.

With the doubling of the world's primary resource consumption and the increase in the number of people, ecological problems and the environment, as well as the negative consequences of the current "get-to-eat-throw" linear economic system, are increasingly being discussed. It is therefore important to explore the potential of a circular economy model for efficient resource use and recycling. The aim of the course is to provide students with knowledge of the basic principles and characteristics of circular economy operations, as well as the main advantages of a circular economy model. Tasks of the course: 1. get acquainted with the concept of circular economy and its basic principles; 2. evaluate the advantages of the circular economy model over the linear economy model; 3. to study and analyze the "Circular Economy Package" developed by the EC; 4. assess the opportunities for the development of the circular economy in Latvia and the EU as a whole. The language of instruction

The aim of the course is to introduce students to the actual work environment and improve the skills and competences in cardiology, internal diseases, vascular surgery, neurosurgery, pediatric surgery, anesthesiology and infections, acquired during the previous courses in these subjects. The clinical practice is based on a specific clinical case approach. The practice objectives are as follows: 1. to improve the skills of medical history taking and physical examination of the practice disciplines' patient; 2. to improve the skills and competences of the examination, differential diagnostics and treatment of practice disciplines' pathologies, 3. to correctly formulate the diagnosis of practice disciplines' pathologies and complete the medical documentation, 4. to improve the technique of the most common practice disciplines' manipulations, 5. to learn the operational structure of a department of hospital, work and fire safety regulations, nosocomial infection prevention measures

The aim of the course is to introduce students to the actual work environment and improve the skills and competences in cardiology, internal diseases, vascular surgery, neurosurgery, pediatric surgery, anesthesiology and infections, acquired during the previous courses in these subjects. The clinical practice is based on a specific clinical case approach. The practice objectives are as follows: 1. to improve the skills of medical history taking and physical examination of the practice disciplines' patient; 2. to improve the skills and competences of the examination, differential diagnostics and treatment of practice disciplines' pathologies, 3. to correctly formulate the diagnosis of practice disciplines' pathologies and complete the medical documentation, 4. to improve the technique of the most common practice disciplines' manipulations, 5. to learn the operational structure of a department of hospital, work and fire safety regulations, nosocomial infection prevention measures

Course aim – to provide students with theoretical and practical knowledge in the basis of investment policy, investment classification, planning and evaluating of investment projects. Particular attention is focused on justification of investment decisions, risk evaluation and management. During seminars and practical classes state and private investment flows and its impact on economic policy and sector development will be analysed. Also investment environment and certain investment projects will be discussed. Course tasks: 1. to understand meaning of investments, its diversity and role in economy; 2. to find out mutual relation among savings and investments, its influencing factors; 3. to deepen knowledge about investment object planning, its life circle, risks and efficiency determination methods; 4. to analyse investment flows in Latvia and its impact and economic development. The language of intruction - Latvian.

The first part of the course presents a refreshing overview of principal methods of mathematical statistics, each lesson consists of two parts: first – theoretical part, second – verification and application of methods to generated and real data. The second part of the course emphasizes comparison and application of various methods, considering non-parametric, parametric and robust procedures as well, and paying attention to interpretation of the results and checking of conditions. The aim of the course is to give students an understanding of the methods of probability theory and mathematical statistics and their applications for the real data analysis. Tasks: clarify key concepts of mathematical statistics; perform simulations and real data analysis; learn in which situations classical, non-parametric and robust statistical methods should be used. The study course is carried out in Latvian or English.

The first part of the course presents a refreshing overview of principal methods of mathematical statistics, each lesson consists of two parts: first – theoretical part, second – verification and application of methods to generated and real data. The second part of the course emphasizes comparison and application of various methods, considering non-parametric, parametric and robust procedures as well, and paying attention to interpretation of the results and checking of conditions. The aim of the course is to give students an understanding of the methods of probability theory and mathematical statistics and their applications for the real data analysis. Tasks: clarify key concepts of mathematical statistics; perform simulations and real data analysis; learn in which situations classical, non-parametric and robust statistical methods should be used. The study course is carried out in Latvian or English.