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Objective(s) of a study programme: Objective is to develop internationally competitive specialists who are able to find a consistent pattern of large data arrays, and provide practical guidance based fulfillment of tasks. Partial goals and skills: • Ability to plan experiments, statistical data collection and to prepare them for further analysis • Ability to apply statistical models and real data analysis (classical antiquities smells can be replaced - "modern") • Can perform real data statistical analysis software packages help • Critically review and summary of the results is able to properly present the findings and recommendations applicable to the scope of the analysis and understanding of other professionals Learning outcomes: • Has the foundations of mathematics and statistics and is able to put the knowledge into statistical work in practice • Is able to use statistics / mathematics software for statistical work in practice • Has the knowledge of statistical applications in different fields (especially ecology, environment) and is able to adapt statistical work in practice. • Is able to formulate research work aims and objectives, plan of statistical surveys; prepare reports of statistical data analysis, interpret the results of statistical analysis, to formulate conclusions also apply known techniques of statistical information; • Ability to carry out statistical projects while working independently and in a group. • Adequately perceive the role of statistics, communicate constructively with colleagues ...
Provider NameKlaipeda University
Objective(s) of a study programme: The aim of the Mathematics and its Application programme is to prepare broad-minded specialists with strong background and adequate skills for solving various practical tasks, optimization and data analysis issues for industry and business, as well as the skills for energy systems analysis and other areas. Learning outcomes: Graduates of the programme will be able to deal with simulation, optimization, data analysis issues; develop mathematical models; apply information technology; perform statistical analysis, cost optimization, process forecasting or risk assessments. Graduates of Finance and Insurance Mathematics specialization will know the basic insurance and financial mathematics principles and techniques; will be able to meet the challenges arising from the economic and social fields; work with the basic statistical computer packages. Graduates of Statistics in Biomedicine specialization will know and understand data analysis methods of biomedical research and be able to operate mathematical software packages. Graduates of Mathematics in Power Engineering specialization will be able to apply mathematical models for solving issues in energy security, system reliability, and networked systems fields. Graduates of Mathematics Teaching specialization will have a good mathematical background and know mathematical teaching methods. Activities of teaching and learning: Lectures, practical work, seminars, laboratory work, individual work, reading literature, solving problem tas ...
Provider NameVytautas Magnus University
Aim(s) of a study programme: To develop the students’ ability in econometric modelling, providing the students with knowledge of modern statistics and economics, which will be useful in data collecting, systemizing, analysing and interpretation and understanding economic processes. To teach students applications of statistical methods in economics, finance and other areas related with uncertainty; critically evaluate statistical information and to explain it to the experts; to work individually and in team, constantly raise the level of knowledge. Learning outcomes: 1. collect, analyse and interpret information independently, develop ideas and argue critically them; 2. apply the knowledge obtained in economics and statistics in the development of the econometric projects; 3. apply specialized computer programs (R, EVIEWS, GRETL) for data analysis; 4. understand and to explain to others the importance of statistical information and the relevance in modern world; 5. choose an appropriate statistical test for hypothesis testing; 6. make linear regression models, structural and reduced vector models, estimate their parameters, test hypothesis for parameters, interpret the results obtained and to apply these results in practice; 7. apply time series models (ARIMA, GARCH, VECM) for real data, estimate their parameters, interpret the results obtained and to apply those models in practice; 8. know the principles, concepts and models of microeconomics and macroeconomics; 9. understand economic processes and be able cri ...
Provider NameVilnius University
Objective(s) of a study programme: To prepare a specialist with profound integrated knowledge in statistics and related fields of mathematics, which be able to apply it for analyzing statistical data. The graduates will also be able to use the prevalent statistical software, to work with databases, to work in a group and to study autonomously. Learning outcomes: The graduates: 1) will understand basic concepts and results of various mathematical disciplines and statistics and will be able to apply them; 2) will understand mathematical proofs; 3) will be able to design and implement a statistical survay, to prepare data for further analysis; 4) will be able to aggregate and visualize statistical data; 5) will be able to choose an appropriate statistical model and to formulate a statistical problem; 6) will know the methods of solving standard statistical problems and will be able to choose the right one; 7) will be able to write computer programs in at least two programming languages; 8) will be able to design, implement and manage relational databases; 9) will know the syntax and main libraries of the R package and will be able to apply it in statistical analysis; 10) will be able to use the SAS system in solving statistical problems; 11) will be able to implement algorithms in SAS programming language, to use the SAS macro language and the SAS interactive matrix language (SAS IML); 12) will be able to communicate to specialists in various areas, to formulate a practical task in mathematical language, to solv ...
Provider NameVilnius University
Objective(s) of a study programme: • To develop students' ability of abstract thinking, understanding of the mathematics principles and results, ability to apply theory when solving various problems; • To introduce the basic concepts of economics and of financial and insurance mathematics models; • To develop students' ability to analyze and evaluate a given economic situation, risks and financial markets; • To develop skills and competences needed in professional fields and in further studies. Learning outcomes: Program graduate will 1. Be able to understand abstract mathematical texts 2. Be able to use mathematical principles and logic in discussions 3. Show independence as a worker (He/She will be able to set achievable goals and manage time) 4. Be able to work in a team 5. Be able to communicate both orally and in writing using a foreign language 6. Be able to complete assigned tasks on time and as required 7. Be able to select appropriate software to solve actuarial and financial problems 8. Be able to use the World Wide Web resources 9. Be able to use several programming languages 10. Be able to understand the basic principles of insurance and use actuarial knowledge in practice 11. Be able to understand the main models of financial markets and use knowledge of financial mathematics in practice 12. Be able to understand the main economic laws and use knowledge of economics in practice 13. Be able to choose an appropriate data collection method 14. Be able to process data and understand obtained informatio ...
Provider NameVilnius University
Future specialists of mathematics study mathematical analysis, algebra, geometry, informatics, programming, probability theory, mathematical statistics, differential equations, general physics, etc. Professional training is not planned. This mathematics programme is intended for individuals who have acquired a secondary education and would like to become mathematics specialists. ...
Provider NameKlaipeda University
Future statisticians study algebra and geometry, combinatorics, probability theory, object programming, operational systems, optimisation methods, etc. Professional training is organised at institutions that require statistical data analysis. The duration of training is 480 hours. The organisation is introduced and statistical data collection, analysis, systematising, making conclusions and solving problems, thinking, and other skills are reinforced and improved during the training. This programme in statistics is intended for individuals who have acquired a secondary education and would like to become statisticians. ...
Provider NameVilnius University
Objective(s) of a study programme: Study programme of Mathematics is designed to prepare highly qualified creatively thinking mathematics, who are able to understand and use mathematics in professional activity of an analyst, specialist of modelling and data analysis, to apply wide theoretical mathematical knowledge based on the results of fundamental and applied research; able to gather, analyse and organize data needed for solving problems in professional activity or innovation implementation, to obtain mathematically reliable findings, to convey subject information for specialists and large public, to manage modern information technologies, having skills of independent work and acquired need for lifelong learning, to work constantly on improving their professional qualification, to assume responsibility for the quality of their work and its outcomes. Learning outcomes: Graduate of the programme will be capable of: 1. Choosing and applying classical methods and laws of the main fields of mathematics (mathematic analysis, algebra, geometry, differential equations, function theory, probability theory and statistics) in solving theoretical as well as real tasks and problems, 2. working with applied mathematic software, manage contemporary information technologies, 3. Analysing, modelling and foreseeing real phenomena, processes and situations, applying known research algorithms and methods, conveying logically and intelligibly the formulation and results of a certain task, 4. Gathering, analysing various statist ...
Provider NameSiauliai University
The programme gives a basic higher mathematical knowledge. Its principal subjects are the following: algebra and geometry, calculus, diferential equations, probability theory and mathematical statistics, functional anglysis, equations of mathematical physics, combinatorics and graph theory, numerical metods of solution of linear albegraic equations, mathematical statistics, theory of functions of complex variable,mechanics, economic theory, informatics, practical informatics, data base management systems, visual programming, foreign languages, introduction of phylosophy. Other subjects form a block of elective subjects. During studies, the professional training is organized. ...
Provider NameVilnius University
Objective(s) of a study programme: The objective of Applied Mathematics bachelor study program is to prepare specialists, who will have: a) relevant knowledge in mathematics and its application, practical sills for mathematical techniques and communication; b) abilities to think logically, to develop software tools for real world objects (events, situations) mathematical model analysis, to analyse and critically evaluate the data and results, to provide information, to work in team, to organize the work, to develop constantly professionalism, and uphold the values of higher education. Learning outcomes: Knowledge and its application: Have knowledge and understanding of the basic concepts, definitions and proofs from major areas of mathematics (algebra, mathematical analysis, geometry, differential equations, probability theory and statistics and ability to apply them to the solution of theoretical and real problems. Have knowledge and understanding of a range of mathematical methods used to develop and analyse mathematical models coming from various interdisciplinary application areas. Have knowledge of the main numerical methods and understanding of some pitfalls of mathematical approximation and mathematical computing. Demonstrate a reasonable understanding of the modelling principles and ability to apply mathematics to real situations, using deterministic or probabilistic models. Have knowledge and understanding of the theory of algorithms and programming, their applicability conditions in developing mathema ...
Provider NameKaunas University of Technology