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Computing Physics and Modelling
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Summary of the Profile
Objective(s) of a study programme:
The goal of the Computing Physics and Modelling study program is unique in that it focuses on the preparation of the highest level physicists capable of applying computer science knowledge to practical applications by using modern computing modeling and data science methods in research and new technological innovation development which are based on astrophysics, chemical physics and other physical science results; the students are capable faster integrate into R&D (research and development); students learn the newest theoretical and prediction methods which are based on practical problems from chemical physics, astrophysics or other physics field by developing technological computational tasks.
Learning outcomes:
1. Have solid physical knowledge required to study physical phenomena.
2. Be able to properly use physical and technical terminology, measurement methods and units used to describe astrophysics, chemical physics or other phenomena in the field of physics.
3. Be able to understand the principles of programming, will be able to program in various programming languages and technologies.
4. Be able to perform modern computer data analysis
5. Be able to model astrophysics, chemical physics or other physical phenomena including the development of a model, the application of modern numerical methods and the analysis of results.
6. Have knowledge of the correct selection and application of modern information technology (IT), including supercomputing (HPC).
7. Be able to design, implement and manage small computer networks.
8. Be able to independently perform computer modeling of physical phenomena
9. Be able to apply the knowledge of physics in the automation of physical experiments, in the practical activities of companies and in further master's studies in the field of physics.
10. Be able to apply general ethical rules and rules of scientific conduct to the assigned tasks.
11. Be able to evaluate scientific material and present complex information in a concise, clear and reasoned manner orally and in writing.
12. Be able to evaluate critically and reasonably science impact on solving societal and technological problems.
13. Be able to identify and implement an appropriate strategy for solving a given problem; organize and complete a project individually or in team.
14. sBe able to organize own study and/or learning process, using different kinds of learning materials; Be able to enter new fields and take responsibility for own learning.
Activities of teaching and learning:
Lectures, tutorials, laboratory works, seminars, self-study (reading of literature and completion of assignments), analysis of papers and their presentation, problem based teaching, group work, preparation of written works, discussions, scientific and work practices, consultations, project works.
Methods of assessment of learning achievements:
Written and(or) oral exams, tests, written works, defence of scientific and work practices reports, defence of final thesis, self-reflections, defence of laboratory works, presentations, evaluation of self-work assignments, peer-review and peer-assesment.
Framework:
Study subjects (modules), practical training:
Subjects on general physics and mathematics (55 credits), advanced physics subjects (65 credits): Object-oriented Programming, , Data Analysis with Python, Astrophysics, Duomenų bazių valdymas, Computer Networks, Numerical Methods, Parallel Computations, Theoretical Mechanics, Electrodynamics, Quantum Mechanics, Statistical Physics; elective subjects (55 credits); general university modules (15 credits), English (5 credits), Poject Management (5 credits), Server Systems Admnistration (5 credits), Basics of Quantum Computer (5 credits), Study Skills and Work Safety (5 credits), Practice (15 credits), Final Thesis (15 credits).
Optional courses:
During the period of studies students are able to choose 11 elective subjects (each 5 credits). Elective subjects depend on particular semester and includes subjects on applications of numerical methods, modelling in various fields of physics, astrophysics, network administration and other.
During period of studies students will be able to choose three (each 5 credits) gerenal university modules from variuos fields taught in VU: Rethorics, Entrepreneurship Psichoactive materials, Logics, Political Geography, Psichology and more than 80 other subjects.
Distinctive features of a study programme:
This study program is an interdisciplinary program in physics and computer science. The study program provides competencies in the application of physics using IT knowledge. Students can choose from a variety of physics and IT subjects, and gain experience on how to perform calculations of physical tasks with the most powerful supercomputers (HPC) in Lithuania. This is the only study program in Lithuania where it is possible to choose to acquire astrophysical education. It is also possible to acquire the qualification of a teacher instead of elective subjects.
Access to professional activity or further study:
Access to professional activity:
Graduates will be able to pursue their career paths as an IT managers, physics researchers, data analysts, information technology, computer network management specialists or programmers in various physics research institutes, public institutions, high-tech companies that develop and use modern technologies based on the research results of modern natural sciences.
Access to further study:
Master studies in study fields of Physical Sciences, Technologies or Engineering in Lithuania or abroad.
