Meklēšana

The aim of the course is to train students for independent work in reading professional literature, presenting the acquired information and expressing and learning professional opinions. In order to achieve the aim of the course, there the following enabling objectives: 1. to learn the criteria for choosing professional literature, to read the recommended and self-selected materials, summarize and present them and discuss the materials with their colleagues 2. to acquire the fundamental medical terminology in English as well as revise the practical use of selective grammar issues 3. to improve the skills for using various online resources for obtaining information and and checking its validity. 4. to facilitate group communication and socially-oriented work as one of learning strategies (through discussions, debates). Language of instruction is English.

Pharmacognosy is sub-branch of pharmacy that studies plant and animal kingdom medicinal products, clarifies their pharmacological action, biochemical pathways as well as manufacturing of natural products and other fitopreparations. The goal of the course is to give knowledge about plants and animal products nowadays used in the pharmacy. The task of the course is to introduce with specific quality control assays, preparation of plant and animal raw material, storage terms, as well as to give knowledge about evidence-based pharmacological action of plant and animal derived drugs. During the course, the student gets knowledge of the use of scientific literature, the latest studies on the activity of active substances of plant and animal origin, the use of medicinal products. The language of instruction is Latvian.

The aim of the course is to discuss machine learning algorithms that allow to predict future outcomes based on available past training data. Machine learning is a cornerstone in Data Science, Big Data Analytics, Robotics, Natural Language Processing and other areas of Artificial Intelligence. As computers and GPUs become more powerful, it is deep neural networks that have gradually replaced the legacy Machine Learning methods. The task of the course is to acquaint students with the concepts and algorithms of supervised, unsupervised, and self-supervised machine learning from primitive classification to Deep Learning using artificial neural networks. The course does not require prior knowledge of machine learning, but requires general programming skills for homework The language of instruction is Latvian.

The study course is devoted to the transformations of social and political structures in northern Europe (regions of the Baltic Sea and the North Sea) during the transition from the pagan society to the Christian state, focusing mainly on the events of the Viking Age from 700 to 1200. The aim of the course is to analyze the processes of state formation in medieval Northern Europe and to improve students' research skills by working with different sources of history and different research approaches. The objectives of the course are following: to characterize the mutual interrelation of political and spatial structures, to look at and compare political and social transformations in the early Middle Ages in different regions of Northern Europe and to raise awareness of the meaning of the Viking Age in contemporary society and culture. The language of instruction is Latvian.

The aim of the study course is to provide an opportunity for students to gain an understanding of the observance of human rights principles at all levels, stages and inter-institutional cooperation of social work practice. The tasks of the course are 1) to provide knowledge about the most important historical stages and philosophical directions that have influenced the development of the idea of human rights; 2) to introduce with fundamental human rights, the ways of their expression and current issues; 3) to acquaint with the causes, types of discrimination and the place and role of social workers in the struggle for the observance of human rights and awareness in various social groups of the society; 4) to form an understanding of international and national processes and instruments in the field of human rights, their implementation mechanisms. The course is lead in Latvian and English.

The aim of the study course is to promote students' understanding of the nature of chronic diseases, the principles of their diagnosis, treatment and care, the importance of patient education and the continuity of the care process in a multicultural environment. Tasks of the study course: 1. Provide and perform evidence-based chronic patient care, 2. To ensure the continuity and sustainability of care activities for patients with chronic diseases. Promote the necessary interdisciplinary cooperation in the care of patients with chronic diseases. To help the patient acquire the knowledge, skills and abilities necessary for self-care by applying teaching methods and teaching materials in patient education. To evaluate the results of care of chronically cared for patients. Provide emotional support to patients with chronic diseases. Teaching language of the course - Latvian, English

The aim of the clinical practice is to provide the students of dentistry with clinical experiences thus creating an understanding of the daily clinical work, developing manual skills and dexterity, contributing to the application of acquired skills and knowledge in creation of comprehensive treatment plans. Course objectives: 1) to train to comprehend the patients' oral health care needs in everyday dental practice; 2) to develop a comprehensive treatment plan, to implement the learned methods of treatment and to promote the fair attitude towards the patients. 3) during the practice cooperation with teachers, mentors and members of the group will be continued through e-learning in the form of presenting and analysing clinical cases, as well as obtaining the necessary information through independent study.
Study course is available in English.

The course consists of 3 parts - endocrinology, hematology and musculoskeletal system. Course objectives: 1) To provide students with basic knowledge of the human endocrine system and its pathological conditions, about blood, blood-forming organs and lymphatic system, as well as diseases related to these organs, with particular emphasis on the risks of infection and bleeding. 2) To provide basic knowledge of musculoskeletal diseases of the system and risk of occupational diseases in dentistry. Course tasks: 1) View the most common pathological disorders of the endocrine, haematopoietic and musculoskeletal system conditions and understand their role in the care of the patient in the general dentistry. 2) Analyse the importance of musculoskeletal diseases in the day-to-day work of a dentist. The course is implemented in English.

The aim of the course is to develop an understanding about the interaction between the individual and the changing educational environment in the context of self-determination theory, humanistic pedagogy and social constructivism theory. The course will promote critical reflection on scientific concepts and personal research, identifying perspectives for the development of educational science and practice. Tasks – 1) To explore the theoretical approaches for understanding and integrating transformative education paradigms into pedagogical practice; 2) To integrate theoretical scientific concepts and practical approaches in a self-directed research process, identifying the current needs of learners in a changing educational environment; 3) To identify perspectives of transformative education and pedagogical practice development in a research process implemented by a doctoral student.
Languages of instruction are Latvian and English.

The aim of the course is to discuss machine learning algorithms that allow to predict future outcomes based on available past training data. Machine learning is a cornerstone in Data Science, Big Data Analytics, Robotics, Natural Language Processing and other areas of Artificial Intelligence. As computers and GPUs become more powerful, it is deep neural networks that have gradually replaced the legacy Machine Learning methods. The task of the course is to acquaint students with the concepts and algorithms of supervised, unsupervised, and self-supervised machine learning from primitive classification to Deep Learning using artificial neural networks. The course does not require prior knowledge of machine learning, but requires general programming skills for homework The language of instruction is Latvian.