Cybersecurity Basics 4010-CYBa-30

A detailed description of the subject is provided at the level of a given teaching cycle in the Description section.

Term 2026Z:

1. The course focuses on the most important cybersecurity issues faced by the contemporary IT world, including: identity protection, network and system security, application security, data protection, cloud security, vulnerability management, security monitoring, and incident response.
2. Lecture topics cover both conceptual foundations and current real-world challenges such as ransomware, social engineering, software supply chain threats, Zero Trust architecture, AI security, governance, compliance, and cyber resilience.
3. The laboratory part is practice-oriented and develops skills in asset identification, threat modeling, vulnerability analysis, log interpretation, security configuration assessment, and preparing protection recommendations for sample environments.

The order of issues addressed and the level of detail in their implementation may change slightly.

Course coordinators

Roman Bogacewicz

Type of course

elective courses

Mode

Classroom

Prerequisites (description)

Basic knowledge of operating systems, computer networks, computer architecture, and software engineering, as well as the fundamentals of IT system administration.

Learning outcomes

Field-specific learning outcomes referenced against the characteristics of the Polish Qualifications Framework (PQF) Level 7:
the graduate is prepared to:
K_K01 - establish and maintain cooperation and strive to achieve team goals through appropriate work planning and organization - P7S_KO
along with the subjects associated with these learning outcomes.

Subject-specific learning outcomes:

the student knows and understands:
W1 - the most important concepts, models, and mechanisms of cybersecurity, especially those related to identity, data, system, network, application, and cloud protection.
W2 - the relationships between threats, vulnerabilities, risk, incidents, and resilience of information systems.
W3 - the importance of security monitoring, vulnerability management, incident response, and regulatory compliance.

the student is able to:
U1 - analyze a system or service architecture in terms of attack surface, weaknesses, and potential breach scenarios.
U2 - select basic technical and organizational controls appropriate to the identified risk.
U3 - interpret vulnerability findings, logs, and indicators of security incidents, and formulate remediation recommendations.

the student is ready to:
K1 - responsibly take security requirements into account in the design, deployment, and maintenance of IT systems.
K2 - critically evaluate technical solutions from the perspective of risk, privacy, resilience, and good practices.
K3 - cooperate within technical and project teams in solving cybersecurity-related problems.

Assessment criteria

1. Completion of the course ends with one common grade for all classes (lecture + laboratory) carried out as part of the course.
2. A sick leave does not exempt students from knowledge of the material. It only entitles them to an individualized form of assessment.
3. Students who have received approval for an individualized course of study are required to contact the course coordinator to determine how to achieve all the learning outcomes assigned to the course. If the above-mentioned outcomes cannot be achieved, the coordinator may refuse to grant credit for the course.
4. Attendance is mandatory. In cases of justified absences, the student is required to contact the course coordinator immediately.
5. 5. Regarding the use of artificial intelligence (AI) tools in the preparation of coursework, the rules set out in the "Regulations on the Use of Artificial Intelligence Tools in the Educational Process for the Computational Engineering Degree Programme" apply.
6. Detailed grading criteria are provided at the level of the given academic cycle in the "Notes" section.

Practical placement

Not applicable

Bibliography

The subject literature has been posted at the level of a given teaching cycle in the Literature section.

Term 2026Z:

None

Notes

Term 2026Z:

For this course, the use of AI tools is permitted at the following levels: 1 – NO AI – during the exam, and 2 – AI-ASSISTED LITERATURE REVIEW – during classes, in accordance with the rules set out in the Regulations on the use of artificial intelligence tools in the educational process for the computational engineering program.
The student specifies the extent to which AI tools were used in the preparation of their work by submitting a declaration in accordance with the applicable template.

Assessment methods and criteria:

Students receive credit for classes based on:
1. class attendance,
2. a written exam, which the student is admitted to after meeting the attendance requirement.

The final grade for the course is based on the grade from the final exam.