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Applied Mathematics

Language of instruction

lithuanian

Qualification degree and (or) qualification to be awarded

Master of Mathematical Sciences

Place of delivery

Kaunas, K. Donelaičio g. 73, LT-44249

Institution that has carried out assessment

Studijų kokybės vertinimo centras

Institution that has performed accreditation, accreditation term

Studijų kokybės vertinimo centras, 10/31/2023

Data provided or updated (date)

10/14/2021

Order on accreditation

SV6-39
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Summary of the Profile

General Description:
Objective(s) of a study programme:
To provide the knowledge of fundamental and applied mathematics accumulated in the world, to develop the ability to discover new ones, to decide on their application possibilities, to analyse scientific and practical problems, to evaluate their possible generalizations and solutions, to provide optimal solutions.

Learning outcomes:
Specific Skills:
A1 Have ability to abstract information about real-world problems and to describe modeled systems and their processes using mathematical relations.
A2 Have ability to think logically and analytically, to understand the scientific mathematical literature, to theoretically and practically substantiate the formulated statements.
A3 Have ability to manage new mathematical methods by designing different models of systems, creating solution algorithms and software, automating processes.
A4 Have ability to compare results of modelling, as well as to solve problems of optimality and adequacy.
Knowledge and its Application:
B1 Have abilities to demonstrate deep and clear knowledge of modelling fundamentals and are able to apply it for creating models in technology, economics, medicine, social sciences and / or new fields.
B2 Have abilities to identify contemporary trends and the newest results in theories of financial mathematics and technologies.
B3 Can describe the modern data analysis methods and techniques and are able to apply them for the analysis and modelling of the real systems.
B4 Have specific knowledge on formal analysis methods of information technologies in developing deterministic and stochastic systems.
B5 Have abilities to explain the principles of modeling complex systems and can choose appropriate mathematical methods given the limited computational resources.
Research Skills:
C1 Have ability to find, to collect and to perceive a scientific literature in mathematics and to use their knowledge of research in modelling and solving real-world tasks.
C2 Have ability to evaluate modelling possibilities, to make decisions in technology, finance, economics, social sciences and other areas by mathematical models for problem solving process, as well as to motivate their relevance.
C3 Have ability to integrate knowledge of different fields and various techniques of mathematical modelling.
C4 Have ability to initiate, to organize, to implement and present to relevant research projects, to analyse critically, to compare and evaluate results, as well as to make well-founded conclusions and prepare reports.
Developed social and personal skills:
D1 Have abilities to communicate and clearly, unambiguously or convincingly present generalized professional knowledge of various researches to colleagues and other specialists by thinking critically, analysing and evaluating the information.
D2 Have organizing skills of independently planning self-learning process, choosing strict line of self-improvement, which is necessary for continuing professional self-development recognizing the importance of lifelong learning.
D3 Have ability to work independently, as well as in collaboration with interdisciplinary team, generate ideas, integrate deep knowledge and skills.
D4 Have ability to plan and organize activities, evaluate possible alternatives and make independent decisions, take responsibility for work results and their quality.
D5 Have abilities to take responsibility for assessment of their own, as well as other person's work quality in accordance with principles of professional ethics and citizenship.
D6 Have ability to find and analyze the latest scientific information from a variety of data sources.


Activities of teaching and learning:
Lectures;
Laboratory Works;
Seminar (Work in little group);
Practical Exercises (tasks);
Individual tutorial;
Practices;
Individual project and (or) team project;
Interactive learning methods;
Case Analysis (Case Study);
Coursework;
Library / Information Retrieval Tasks;
Oral Presentation and Reports.

Methods of assessment of learning achievements:
To achieve the study results should be evaluated by ten-point criteria-referenced assessment system. It can be applied to a variety of student achievements assessment methods:
Written Examination;
Written and Oral Examination;
Test;
Laboratory Notes and Report and Laboratory Examination;
Modeling works;
Assignments;
Individual or group Project Report;
Oral and Poster Session;
Work Placement Report and examination;
Colloquium;
Control Work;
Essay, Literature Analysis;
Final paper, Examination.