Compare
There are no other study programmes for comparison
 | Loading… |
Search study programmes for comparison:
Compare
Engineering Physics
Institutions providing this programme
Programmes with similar name
Programmes granting same qualifications
Summary of the Profile
General description:
Objective(s) of a study programme:
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.
Learning outcomes:
Knowledge and its Application
A1. 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.
A2. 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.
A3. Able to apply mathematical methods
to model and analyze physical processes,
engineering problems, applying them in
studies and professional activities
A4. Able to theoretically analyze relevant,
solvable engineering challenges, planning
solution strategies and applying
interdisciplinary knowledge of physics,
machine learning, measurement
engineering.
Research skills:
B1. Able to formulate the purpose and
tasks of the research work, systematically
monitor physical events, and qualitatively
and quantitatively measure them .
B2. 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.
B3. 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. B4. Able to systematize research data by
interpreting and summarizing research
results necessary to support conclusions
and make recommendations.
B5. Able to investigate the applicability of
new high-tech, instrumental analysis
methods to solve various engineering
problems.
Specific Skills:
C1. 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.
C2. Able to apply acquired
interdisciplinary knowledge of physics,
artificial intelligence-based technologies
and measurement engineering to solve
engineering problems using modern
technological equipment.
C3. 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 .
C4. 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.
C5. 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:
D1. 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).
D2. Able to organize and coordinate research activities while working
independently and in cross-disciplinary
/cross-cultural teams.
D3. Able to critically assess information,
the results of their activities, make
decisions and assess their social
consequences, improve their activities.
Personal skills:
E1. Guided by the concept of the physical
world, he is able to recognize and critically
evaluate emerging scientific knowledge
and problems.
E2. 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.
E3. 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 material of all study modules is
mastered during classroom and student
independent work. Auditorium work
includes lectures, exercises, laboratory
work, etc. The student's independent work
is the understanding of theoretical
material, preparation for lectures,
laboratory work and exercises, mid-term
assessments for semester assignments and
the exam, preparation of homework and
projects. The main teaching methods are:
lectures, exercises, laboratory work, group
work, case studies, consulting seminars,
project activities, etc. In addition to the
basic learning methods, the study program
will be characterized by innovative
teaching methods: project-based, designbased, problem-based and experiential
learning, when projects are carried out,
problems are solved, using the
competencies of various fields in a
complex manner. Part of the study subjects
will be taught by teaching teams consisting
of employees of two or more departments
and scientific institutes. The program will implement a synthesis of theory and
practice, where practical work will solve
real engineering problems using advanced,
complex research, design, analysis and
information processing tools.
Methods of assessment of learning
achievements:
The student's knowledge, abilities and
skills acquired while studying the module
during the semester are evaluated and
registered in the academic database
according to the calendar for the
preparation and evaluation of tasks
provided for in the module. The evaluation
for the independent work tasks of the
semester is fixed at the end of the semester
(positive or negative evaluation), the final
evaluation takes place during the exam
session (grade according to a ten-point
scale). When evaluating the results
achieved by the student, the cumulative
score system is applied, when the
intermediate subject assessments and the
exam are assigned weights that determine
the influence of those evaluations on the
final evaluation of the subject. Subject
assesmetns and their weights in the final
subject assessment are indicated separately
for each subject.
The most commonly used assement
methods are: exam, colloquium, paper,
presentations at seminars, laboratory work
description (report) and defense, oral
illustrated reports, etc.
Framework:
Study subjects (modules), practical
training:
General subjects of university studies
(12 ECTS), including: Foreign language
alternatives (6 ECTS) and Alternatives to
philosophy and sustainable development
(6 ECTS).
Basic subjects of the field of study in
physics (192 ECTS):
Introduction to the specialty
Mathematics 1
Information technologies 1
Astrophysics
Engineering graphics
General Chemistry
Mathematics 2
Introduction to Programming for
Engineers
Classical mechanics
Physics of materials
Fundamentals of electronics
Discrete mathematics
Probability theory and statistics
Electromagnetism
Algorithms and parallel computing
Thermodynamics and statistical physics
Mathematical physics and numerical
methods
Basics of measurements and metrology
Machine learning methods
Optimization methods
Quantum mechanics
Measurement systems engineering
Development of artificial intelligence
solutions
Optics and light technologies
Electrodynamics
Mathematical methods of digital image
processing
Nuclear and particle physics
Product development project
Solid state physics
Numerical intelligence methods
Physics of surface and surface phenomena
Creating physical innovations
Practices (15 ects ):
Professional practice
Final project (15 ects ):
Bachelor's final project
Specializations:
-
Optional courses:
Students can freely choose 6 ECTS from
all study modules provided by the
university.
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 or further
study:
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.
