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Digital Transformation and System Architectures
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Summary of the Profile
General Description:
Objective(s) of a study programme:
To provide a broad range of knowledge of information systems engineering and to develop skills required to systematically analyse the individual or enterprise information storage, processing, and analysis requirements, to develop, implement, and update various databases, computerised information systems, and business process digitization solutions by effectively using modern information technologies.
Learning outcomes:
Knowledge and its Application:
A1 Is able to explain in detail the concepts and scientific principles related to computer sciences and based on the results of fundamental or applied scientific research, namely, software architectures, artificial intelligence applications, system security and software quality assurance methods.
A2 Is able to explain the innovative techniques, technologies and methods applied in the area of digital transformation and business digitization, namely, architecture of organizations, semantic network technologies, expert systems and knowledge bases principles.
A3 Is able to apply knowledge of business digitization and project management to develop solutions of scientific, organizational, or professional problems and to carry out scientific research.
Research Skills:
B1 Is able to define in detail and at different levels of abstraction the scientific or professional problem in the area of business digitization or digital transformation, and to carry out the analysis of the problem domain, taking into consideration the importance of relevant legal, commercial, industrial, economic and/or social contexts.
B2 Is able to analyse scientific or professional problems of business digitization or digital transformation and investigate their possible solutions, as well as identify, locate, and evaluate necessary information using databases and other information sources.
B3 Is able to manage the complex situation based on the research data and by selecting the most suitable solution of the scientific or professional business digitization problem that is based on information systems development principles, selection of appropriate architectural decisions, and on application of other information systems engineering measures.
B4 Is able to evaluate critically the data, information, and results collected and obtained in the course of research, as well as developed and alternative solutions of the scientific or professional problem in the area of business digitization, their impact on the environment and other qualitative and quantitative aspects, by providing reasoned conclusions and recommendations.
Specific Skills:
C1 Is able to apply the methods of computer sciences in business digitization, taking into account relevant commercial, safety, industrial, social, and environmental constraints.
C2 Is able select suitable methods, including model driven information systems development and project management processes, in order to examine and solve new, complex problems related to business digitization and information systems engineering.
C3 Is able to model business digitization related innovative artefacts and their operational context using chosen tools, and to determine the artefacts users’ needs concerning the digitization and improvement of activities, for which the artefacts are intended.
C4 Is able to prepare methodically and following model driven development principles the research specification and/or solution project aimed at examining and solving a complex problem related to business digitization or other area of information systems engineering.
C5 Is able to develop an innovative artefact in order to examine and solve a complex business digitization problem while taking into account the problem’s organizational and technological environment, alternative solutions, and specified functional and non-functional requirements, and by using chosen requirements engineering, systems design, business process digitization, information systems software development tools and technologies.
Social Skills:
D1 Is able to communicate effectively and professionally in the official state and at least one foreign language with various audiences, to concisely present and explain to various listeners quantitative and qualitative aspects of the given problem as well as its available solutions or research results.
D2 Is able to work effectively in teams and to manage them while using various information systems project execution and management methods and tools, acting in compliance with the principles and rules of professional and ethical behaviour as well as social responsibility.
Personal Skills:
E1 Is able to learn systematically and independently, to analyse scientific literature, in pursuit of continuous personal, professional and scientific development.
E2 Is able to work independently, systematically and responsibly, to precisely plan activities, to take the initiative and to assume personal responsibility.
E3 Is able to demonstrate creativity when solving professional and scientific research related problems and when mastering new information systems methods, technologies and tools.
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:
Business Process Analysis and Digitalization, Computational Intelligence and Decision Making, Data Analytics and Visualization, Enterprise Architecture Modeling, Information Systems Project Management Technologies, Information Systems Requirements Analysis and Specification, Information Systems Security Methods, Information Systems Software Engineering, Knowledge Engineering and Decision Making, Master‘s Degree Final Project, Methods for Software Quality Assurance, Research Project 1, Research Project 2, Research Project 3, Semantic Models of Data.
Specialisations:
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Optional courses:
Distinctive features of a study programme:
A graduate has extensive knowledge of information systems engineering, understanding of methods and tools for analysing activities of an enterprise, various approaches, methods and tools for analysing and designing information systems and is able to apply them. The graduate is able to prepare requirements of information systems and software specifications, integrate data and information systems, analyse metadata and metamodels, perform applied research, and has the competence to apply complex criteria for evaluation, decision making and implementation, required for the development, exploitation or renewal of information systems.
Access to professional activity or further study:
Access to professional activity:
The graduate can perform research, programming, designing and other engineering or managerial work in the area of information systems as well as perform business or systems analysis tasks at companies and public, educational or research institutions.
Access to further study:
S/he has access to the third cycle studies.
