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Engineering Physics
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Summary of the Profile
Objective(s) of a study programme:
To develop the ability to apply specialized knowledge of physics to perform fundamental and applied physics research
and to integrate machine learning algorithms and specialized measurement technologies to solve various engineering challenges and to create and improve innovative engineering products.
Description of the study programme: https://admissions.ktu.edu/programme/b-engineering-physics/
Learning outcomes:
Knowledge and its Application:
Able to analyze the phenomena, concepts, fundamental laws and their experimental and theoretical justification of the main fields of physics (classical, relativistic and quantum mechanics, electromagnetism, statistical physics and
thermodynamics, optics), applying them in solving theoretical and practical problems.
Able to analyze basic laws and principles of measurement engineering, operating principles of electrical, electromechanical and electronic devices, applying them in studies and professional activities.
Able to apply mathematical methods to model and analyze physical processes, engineering problems, applying them in
studies and professional activities.
Able to theoretically analyze relevant, solvable engineering challenges, planning solution strategies and applying interdisciplinary knowledge of physics, machine learning, measurement engineering.
Research skills:
Able to formulate the purpose and tasks of the research work, systematically monitor physical events, and qualitatively
and quantitatively measure them.
Able to choose applied and fundamental scientific research
methodologies, assess their accuracy and suitability, accuracy limits of experimental data, reliability of modeling or research
methods, assess measurement errors.
Able to select and critically evaluate scientific and informational literature necessary to evaluate theoretical
assumptions and research methods or to conduct planned experimental, analytical or modeling studies.
Able to systematize research data by interpreting and summarizing research results necessary to support conclusions and make recommendations.
Able to investigate the applicability of new high-tech, instrumental analysis methods to solve various engineering problems.
Specific Skills:
Able to recognize and observe physical phenomena in new and atypical environments, perform quantitative and
qualitative measurements or modeling, systematically and reliably collecting, processing and interpreting research data.
Able to apply acquired interdisciplinary knowledge of physics,
artificial intelligence-based technologies and measurement engineering to solve engineering problems using modern
technological equipment.
Able to apply analytical and numerical methods, specialized algorithms of machine learning, image recognition and data processing and analysis, perform nonstandard laboratory tests and measurements.
Able to formulate and solve problems of practical activities, plan, design the course of activities according to ethical,
environmental protection and commercial requirements of technological and engineering activities.
Able to model physical and technological processes, use the results of modeling or experimental research to combine the acquired interdisciplinary knowledge into a whole to solve
multifaceted engineering problems.
Social skills:
Able to present and convey study knowledge and experiment or research results to an audience of specialists and non-specialists in the correct Lithuanian language (both orally and in writing) and in the selected foreign language (both orally and in writing).
Able to organize and coordinate research activities while working independently and in cross-disciplinary /cross-cultural teams.
Able to critically assess information, the results of their activities, make decisions and assess their social consequences, improve their activities.
Personal skills:
Guided by the concept of the physical world, he is able to recognize and critically evaluate emerging scientific knowledge and problems.
Able to assess the impact and consequences of physical, technological and engineering decisions on society and
the environment, follow professional ethics and norms of technological engineering activities, citizenship.
Able to plan and organize independent work and learning, necessary for continuous professional self-development,
and to apply acquired knowledge and abilities, changing the scope and nature of activities, to adapt to new situations.
Activities of teaching and learning:
The studies include classroom work (lectures, practical work, laboratory work, seminars, outgoing visits to enterprises, etc.) and individual work for mastering theoretical material, preparation for classroom work, intermediate and final assessments and performing other activities. The studies of each study module are completed by the assessment of the student’s knowledge and skills – an examination or another final assessment; the study programme is completed by the final degree project and its defence.
Methods of assessment of learning achievements:
The applied cumulative assessment system of the learning outcomes ensures constant and involving work of students during the entire semester of studies; the final evaluation of the study module consists of the sum of the grades of intermediate assessments and the final assessment multiplied by the weighting coefficients (percentages of components).
Study subjects (modules):
Astrophysics, Engineering Graphics, General Chemistry, Information Technologies 1, Introduction to Speciality, Mathematics 1, Introduction to Programming for Engineers, Mathematical Physics and Numerical Methods, Mathematics 2, Physics of Materials, Classical Mechanics, Discrete Mathematics, Fundamentals of Electronics, Theory of Probability and Statistics, Algorithms and Parallel Computing, Basics of Measurements and Metrology, Electromagnetism, Machine Learning Methods, Thermodynamics and Statistical Physics, Artificial Intelligence Solutions Development, Computer Communications, Optics and Light Technologies, Optimization Methods, Quantum Mechanics, Electrodynamics, Mathematical Methods for Processing of Digital Images, Product Development Project, Solid State Physics, Computational Intelligence Methods, Development of Innovations in Physical Science and Technology, Nuclear and Particle Physics, Physics of Surface Phenomena, Bachelor’s Degree Final Project, Professional Internship.
Electives of Philosophy and Sustainable Development: Media Philosophy, Sustainable Development;
Foreign Language Electives (Level C1): Academic and Technical Communication in English (Level C1), Academic and Technical Communication in German (Level C1), Academic and Technical Communication in French (Level C1).
Distinctive features of a study programme:
The only first-cycle study program in Lithuania in the field of Physics that combines not only the competencies of fundamental physics and measurement engineering, but also provides students with sufficient knowledge needed to start
applying the principles of machine learning in science and industry.
Access to professional activity:
Having deep knowledge of physics and the ability to apply it together with competences in measurement engineering and machine learning, graduates will be able to work in research, productiontechnological, consulting-expert and managerial work in production organization and management, design and
implementation of new advanced technologies, technical management of production in physical technology companies, organization and scientific institutions, research and advisory
scientific support centers, radiation protection, state security services, environmental studies and environmental protection services, environmental protection laboratories using modern
measuring devices, customs, publishing, forensic laboratories, pharmaceutical and medical companies or medical products in manufacturing companies, patent offices,
scientific research institutes and universities, to organize high-tech business.
Access to further study:
She/He has access to the second cycle
studies.
