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Objective(s) of a study program: To prepare specialists of biomathematics (masters in mathematical modelling) who have appropriate knowledge and skills for creating mathematical models of complicated biosystems, for analyzing data coming form this kind of systems, for using various problem-oriented informational technologies. The biosystems modelling masters will be able to use their knowledge and skills for formulating and solving real-life problems in biology, biotechnology, pharmacy, medicine and ecology. Learning outcomes: Knowledge and its applications: A1 Knowing the principles of mathematical modeling and possibilities of its application in biology and medicine; A2 Knowing and understanding the specifics of modelling and analysis of molecular systems; A3 Knowing and understanding statistical data analysis methods for biology and medicine, and survival analysis methods; A4 Knowing and understanding human physiological systems and biophysics; Abilities of doing research: B1 Being able to analyze various real world processes, to create, improve and assess mathematical models for solving problems in mathematics and biology; B2 Being able to choose and apply appropriate mathematical models for given biosystems; B3 Being able to find and synthesize information during the whole problem solving process; B4 Being able to analyze, interpret, compare and assess the results of modeling, select the optimal solutions, formulate and justify the conclusions, make forecasts; Special abilities: C1 Being able to constru ...
Provider NameKaunas University of Technology
Objective(s) of a study programme: To prepare qualified specialists: with deepen knowledge in mathematics, computer science and business, enabling possibility to analyse business big data; able to identify at conceptual level the business issues in traditional and global organizations based on networking, to creatively apply the acquired knowledge in new situations, to develop mathematical models for relevant business decision-making, to critically evaluate data and results, as well as able to communicate information for audience of specialists, to work in a team and to continually develop their professionalism. Learning outcomes: Knowledge and its application A1. Demonstrate deepened and expanded math knowledge related to process and event analysis, prognosis, optimization, risk assessment and big data. A2. Have knowledge of business organizations’ operational processes, efficiency indicators, modelling principles, factors influencing decision-making, and able to use them for development of mathematical models. A3. Have knowledge of specification of enterprise informational needs, purpose of metadata, importance of big data management in the organization, and able to use databases, to create and use metadata, to specify user needs and limitations of the information system. A4. Have knowledge of mathematical methods applied to the development of analysis models for business big data, understand the analysis phases and their performance method, and able to apply it in the interdisciplinary area. A5. Have knowled ...
Provider NameKaunas University of Technology
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 Applied Mathematics programme is to prepare broad-minded specialists with strong background and adequate skills for applying and developing of mathematical models for industry, business, finance and other areas. Learning outcomes: Graduates of the programme will be able to 1. Apply knowledge of mathematics and develop mathematical models for industry, business, finance and other areas. 2. Perform scientific investigations in mathematical modelling, data analysis, control fields, and develop software. 3. Apply newest knowledge of mathematics in solving problems of various dynamic processes. 4. Independently deepens and expands knowledge of application of mathematics. Activities of teaching and learning: Lectures, practical work, seminars, laboratory work, individual work, reading literature, solving problem tasks, preparation for lab work, midterm and final exams. Methods of assessment of learning achievements: Knowledge and skills are evaluated using criteria-based study achievement assessment system of a 10 mark scale. Study results are evaluated during the semester through the intermediate exams (mid-term exams, practical, laboratory work) and the final exam. Final and mid-term exams are performed in the written form. The final evaluation consists of weighting marks of each assessment. Specialisations: - Optional courses: It is possible: deepen subject areas knowledge, choosing a specialized field of study subjects; choose a variety of related studies offered ...
Provider NameVytautas Magnus University
Studijų programoje dvi šakos (finansų matematika ir draudimo matematika) turi bendrus dalykus (rinktiniai analizės skyriai, tikimybių teorija ir matematinė statistika, negyvybės draudimas, laiko eilučių analizė, stochastinė analizė, gyvybės draudimas, sveikatos draudimas, finansų matematika, rizikos teorija.), kuriems skirta 34 kreditai. Atskirų šakų dalykams skirti 9 kreditai, magistro darbui - 17 kreditų. ...
Provider NameVilnius 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 prepare a high-level specialist, which could critically analyze existing statistical methods, as well as newly emerging ones, be able to apply them in non-standard situations, be ready to extend autonomously his knowledge in the selected field of statistics. Learning outcomes: The graduates will: 1) be able to analyze complex real processes using methods of probability theory and mathematical statistics and interdisciplinary knowledge; 2) be able to present the results of a research to the specialists in statistics and other areas, following professional ethics; 3) be able to analyze the results and methods of mathematical statistics presented in the newest scientific literature; 4) be able to master new programming software for non-standard problem solving; 5) understand differences between classical and Bayes approach to statistics; 6) be able to investigate properties of sophisticated statistics; 7) be able to apply the newest achievements in the Markov processes theory; 8) be able to analyze statistics of dependent samples; 9) be able to choose and adapt appropriate quality control schemes and control charts of technological processes; 10) be able to choose and modify models of survival analysis and reliability theory used in engineering, medicine and biology; 11) know and be able to apply the newest statistical methods for analyzing big data arrays; 12) know the mathematical substantiation and limits of application of these methods. Activities of teaching and learning ...
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