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Computer engineering
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Summary of the Profile
General Description:
Objective of a study programme:
To provide the latest specialized knowledge of computer engineering and related fields of study, necessary for the independent development and application of the latest computer technologies and services, developing the ability to critically evaluate and creatively apply this knowledge, learning how to conduct applied research in the field of electronic engineering, obtaining new results and improving one's lifelong learning of professional competence.
Learning outcomes:
Acquire knowledge and abilities:
Z1. Good knowledge and ability to creatively apply the fundamentals of the natural science and mathematics, thoroughly knowledge and understanding of the principles of electronics engineering study field that correspond to study program and be able to apply them for solving new engineering problems;
Z2. Knowledge and critical assessment of the latest achievements in the study field of electronics engineering.
Able to conduct engineering analysis:
IA1. Ability to solve the non-standard, not strictly defined, and incompletely described problems;
IA2. Ability to see the standard and non-standard computer engineering problems, clearly formulate and solve them;
IA3. Ability to use one's knowledge and gained understanding to practically solve computer engineering problems and to apply theoretical models, and research methods, including mathematical analysis, computational modelling and experimental research methods;
IA4. Ability to understand the importance of social, health, labor and fire safety, as well as environmental protection and commercial requirements;
IA5. Ability to use innovative methods to solve specific problems and implement their solutions.
Design knowledge and skills of the electronics engineering study field that correspond to study program:
IP1. Ability to apply one's knowledge and understanding in solving non-standard computer engineering problems, including those related to other science and engineering study fields;
IP2. Ability to develop innovative and original new computer engineering ideas and methods;
IP3. Ability to make engineering decisions when faced with multiple, technically uncertain and inaccurately defined problems.
Able to conduct fundamental and applied research:
GT1. Ability to identify, locate and evaluate the data needed for required engineering tasks by using databases and other sources of information;
GT2. Ability to plan and carry out analytical, modelling and experimental studies, critically evaluate their results and draw conclusions;
GT3. Ability to investigate the applicability of the new methods and techniques to solve problems of electronics engineering study field that correspond to study program.
Have practical skills in solution of the engineering problems:
IVG1. Ability to merge knowledge into a whole from different study fields and to deal with multiple engineering problems;
IVG2. Ability to thoroughly understand the applied methods and techniques, their limitations, and properly choose engineering equipment and software;
IVG3. Ability to understand the ethical, environmental and commercial requirements for the engineering activities;
IVG4. Knowledge of engineering organizing principles, understanding of the interaction between its links and ability to assess the engineering activities in a sense of industrial safety and environmental aspects.
Have the following personal and social abilities:
ACG1. Ability to effectively work independently and in a team, be the leader of the team that consists of members of various study fields and levels;
ACG2. Ability to know how to communicate with the engineering community and the general public at national and international levels;
ACG3. Holistic understanding of the effects of engineering solutions on the society and the environment, ability to comply with professional ethics and standards of engineering, understanding of the responsibility for the engineering activities.
ACG4. Very good knowledge on project management and business aspects, understanding of the links between technological solutions and their economic consequences.
Activities of teaching and learning:
The program is designed to create a student-friendly learning environment that emphasizes the work of lecturers and encourages the acquisition of new knowledge based on tasks and research. Such forms of teaching and learning as problem-based teaching and problem-based tasks, case studies, individual and group work, "brain storm", presentations, course projects, etc. are foreseen. The program provides student-oriented workshops that are based on group work, developing practical and social skills. Course projects and individual assignments help students to independently analyze and solve problems of computer engineering. Students independently prepare for intermediate and final examinations, under the supervision of a lecturer, prepare the final master's thesis.
Methods of assessment of learning achievements:
The student's achievements are assessed using a diagnostic (to determine the student's achievements and progress after the completion of the topic or part of the course), the formative (continuously carried out through the study process), cumulative (carried out by aggregating the evaluations of the results obtained during intermediate examination), and a summary (formally confirming the student's achievements in studies at the end of the semester). The results of the study program and study subjects during the semester are evaluated through intermediate examination (colloquiums, oral and written presentation of group and individual works). Through collegiate assessment, students are examined by a commission of lecturers and / or engineers - academics, social partners.
Framework:
Study subjects (modules), practical training:
Radio communications and their applications;
Mathematical modelling technologies;
Intelligent systems;
Fundamentals of scientific research and innovation;
Security of information and systems;
System design in VHDL language;
Microcontrollers and their programming (with course project);
Modern electric drives;
Algorithms and data structures;
System engineering and sensors;
Internet of Things (with course project);
ARM architecture microcontrollers;
Technologies of high power electromagnetic pulses;
Evolutionary computation and agent systems;
Computer data mining technologies;
Master's Research Work I, II, III;
Master Graduation Thesis.
Specialisations: No
Optional courses:
Possibility to choose additional courses in the same study field, it is possible to choose courses in the other study field and topics of course projects.
Distinctive features of a study programme:
Other Lithuanian universities do not have the study program "Computer Engineering". This program is taught by representatives of social partners who have long-term professional experience in the field of computer engineering, which allows to highlight the latest and most relevant engineering issues and solutions in the field of preparation of a competitive specialists.
Access to professional activity or further study:
Graduates of the Computer Engineering study program will be able to successfully work as engineers, heads of engineering departments, designers and carry out expert activities:
in electronics sector companies: “Accel elektronics”, “Amalva”, “Arevita”, “Atea”, “Axis Industries”, “Bitė Lithuania”, “Elfa Distrelec”, “Elgerta”, “Elsis”, “Esemda”, “Fima”, Center for Physical Sciences and Technology”, "IBM Lithuania", "Kitron", "Teltonika" as well as in state organizations, banks, etc.
Also, the graduate will be able to create and develop his own business in the fields of electronics and information technology.
