Cyber Security (5 cr)
Code: R504D74-3001
General information
- Enrollment
- 03.10.2022 - 08.01.2023
- Registration for the implementation has ended.
- Timing
- 09.01.2023 - 21.04.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 2 cr
- Virtual portion
- 3 cr
- Mode of delivery
- Blended learning
- Unit
- Bachelor of Engineering, Information Technology
- Teaching languages
- English
- Seats
- 0 - 30
- Degree programmes
- Machine Learning and Data Engineering
- Teachers
- Kenneth Karlsson
- Teacher in charge
- Kenneth Karlsson
- Groups
-
R54D21SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2021
- Course
- R504D74
Evaluation scale
H-5
Objective
The student understands what cyber security consists of and how security affects the process of ICT development. The student can apply common cyber security design methods.
Content
- Cyber security main components
- Methods how to secure your software
- Methods how to secure your IoT-systems
- The human factor
- Organisational security
Location and time
9.1.2023 - 31.3.2023
On Campus in Jokiväylä
Materials
Materials will be presented in Moodle Workspace
Teaching methods
Lessons and seminars and groupwork.
Student workload
Approximately 135 hours of student work
Assessment criteria, satisfactory (1)
The student can explain what the main aspects of cyber security.
Assessment criteria, good (3)
The student can plan and write secure programs and design secure IoT-systems.
Assessment criteria, excellent (5)
The student can plan and write secure programs and design IoT-systems that are secure and also assess how the designed system affect the operating environment.