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Informatics Engineering

Language of instruction

lithuanian

Qualification degree and (or) qualification to be awarded

Bachelor of Computing

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, 8/31/2020

Data provided or updated (date)

8/17/2023

Order on accreditation

SV6-15
More about programme

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Summary of the Profile

General Description:
Objective(s) of a study programme:
To provide theoretical and practical knowledge about the development, implementation and maintenance of computers, their systems, communication networks, real-time information processing and management systems, to develop practical abilities and skills to design and implement computerized systems, perform engineering tasks in enterprises.

Learning outcomes:
Knowledge and its Application:
A1 Is able to explain the laws of nature, physical phenomena, mathematical methods and theories related to computer hardware and software, review important historical changes in computer science, current and future trends.
A2 Is able to explain the principles of algorithm development and their analysis, the possibilities of application of programming technologies and languages, the principles of human-computer interaction, the essential principles and methods of application systems development and maintenance processes.
A3 Is able to apply business, economic, sustainable development and legal knowledge in professional activities, developing IT engineering solutions that meet ethical norms, legal requirements and the needs of society.
A4 Is able to apply information security principles and cyber security methods and technologies to develop secure IT engineering applications.
A5 Is able to explain the principles and structure of computer hardware operation, including digital logic, computer architectures, operating systems, virtualization technologies and methods.
A6 Is able to apply computer systems engineering and IoT systems development methods, processes and technologies to develop IoT applications.
A7 Is able to apply knowledge of information technologies, administration and support of organizations' computer systems and information security methods in the development of enterprise computerization applications.
A8 Is able to apply knowledge of methods and tools for the development and integration of secure systems and services, data security, administration and support, in the development of secure applications.
Research Skills:
B1 Is able to define the problem of computer engineering professional activity and find, prepare and review the information needed to solve it in printed sources, electronic resources, databases and other sources.
B2 Is able to analyse and critically evaluate the information required to solve the problem of computer engineering professional activity according to the selected criteria, formulating reasoned conclusions and recommendations.
Specific Skills:
C1 Is able to select and apply appropriate methods, analytical and modelling, experimental, production equipment to solve engineering tasks and problems, developing new or improving existing application solutions.
C2 Is able to implement, deploy, maintain and improve computer systems, their software and hardware, evaluate the ethical, economic, performance, reliability and cyber security aspects of selected solutions.
C3 Is able to design computer systems using modern design processes, methods and tools, and to methodically prepare standardized engineering documentation of a computer system.
C4 Is able to analyse, design, implement, implement, maintain and develop Internet of Things systems, hardware and middleware of computer systems, using computer analysis, modelling, design and experiment management tools.
C5 Is able to analyse, design, implement, implement and operate computer systems of organizations, their hardware and software, applying subject knowledge of computers and their systems, computer networks, programming technologies, information processing systems and information security.
C6 Is able to analyse, design, implement, deploy and operate secure computer systems, their hardware and software, applying subject knowledge of computers and their systems, cyber security, computer networks, programming technologies, information processing systems.
Social Skills:
D1 Is able to present informatics engineering problems and solutions for specialists as well as broad auditorium in written and oral form, using correct Lithuanian language and at least one of the foreign languages.
D2 Is able to carry out computer systems development activities as team members or managers in accordance with the principles and rules of professional, ethical conduct and social responsibility.
Personal Skills:
E1 Is able to independently continuously learn, improve, formulate and achieve the set goals in the fields of computer engineering and related fields.
E2 Is able to work independently, creatively and responsibly, in accordance with the planned plan and obligations, taking the initiative and taking personal responsibility for the results of the work.


Activities of teaching and learning:
The studies include classroom work (lectures, practical work, laboratory work, consultation 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.
The study methods of active learning, such as design (programming), design thinking, challenge-based learning, creative workshops, group work, experiential learning, discussion, problem-based learning, reflective learning, idea (mind) mapping, etc. are applied to encourage the active participation and creativity of students in the study process. The achievements are assessed using the traditional assessment methods, such as laboratory examination, assignments, laboratory or project report, as well as other methods: work or competency file (portfolio), problem-solving task, engineering project, reflection on action, self-assessment, etc.

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).
The number of intermediate assessments and their expression in percentage are chosen by the study module’s coordinating lecturer. Besides the usual forms of assessment (for example, examination, oral presentation, project report, laboratory examination), an additional form of assessment “Assessment of student activity (level)” may be applied (up to 10% of the final grade) for the assessment of the student’s preparation for case analysis, an active discussion, participation in debates, etc.

Framework:
Study subjects (modules), practical training:
Academic and Technical Communication in English (Level C1), Analysis and Design of Computer Systems, Bachelor’s Degree Final Project, Basics of Data Structures, Cyber Physical Systems and it Security, Cyber Security, Computer Architecture, Computer Graphics, Computer Networks and Internet Technologies, Computerised Environment and Smart Systems, Databases, Design and Analysis of Computer Algorithms, Discrete Structures, Enterprise Computer Systems Development Platforms, Fundamentals of Object-Oriented Programming 1, Fundamentals of Object-Oriented Programming 2, Information Technology Security, Introduction to Studies of Informatics, Mathematics 1, Mathematics 2, Operating Systems, Physics 1, Product Development Project, Professional Internship, Software Engineering, The First Principles of Digital Logic, Theory of Probability and Statistics.

Specialisations:
Computer Systems Engineering, Data Storages, Digital Signals and Circuits, Fundamentals of Multi-Agent Systems, Real Time Systems, Secure System Development Fundamentals, Security of Electronic Documents and Data, System Administration and Technical Support, System Integration Technologies and Secure Service Development, Things of Internet and Technologies.

Optional courses:
Electives of Philosophy and Sustainable Development 2023:
Media Philosophy, Sustainable Development;
Electives of Socioeconomic Environment Knowledge 2023:
Engineering Economics, Sustainable Human Development;
Optional Subjects 2023.

Distinctive features of a study programme:
A graduate has theoretical and practical knowledge of computers and their systems, communication networks, cybersecurity, real-time information processing and management systems development and implementation, is able to design and implement secure computer systems, informatics engineering solutions and apply information technologies in various companies and organizations.

Access to professional activity or further study:
Access to professional activity:
The graduate can work as a systems analyst, software and application developer, systems administration and maintenance specialist, cyber security specialist, secure information technology solution and infrastructure developer, head of information technology in various organisations.

Access to further study:
S/he has access to the second cycle studies.