Cryptography (5cr)
Code: C-10108-R504TL207-3001
General information
- Enrolment period
- 06.10.2025 - 11.01.2026
- Registration for the implementation has begun.
- Timing
- 12.01.2026 - 15.05.2026
- The implementation has not yet started.
- Credits
- 5 cr
- Institution
- Lapland University of Applied Sciences, Kevätlukukausi 2026. Opiskelu tapahtuu verkossa. Alkuinformaation jälkeen opiskelu on ajasta ja paikasta riippumatonta. Ohjausajoista ja tavasta tiedotetaan opintojakson alkaessa.
- Teaching languages
- English
- Seats
- 0 - 20
- Course
- C-10108-R504TL207
Objectives (course unit)
The student is familiar with the basic concepts of cryptography. He/she knows the basic types of cryptographic algorithms and is able the assess their security. The student knows the working principles of secure communication protocols and the required Public Key Infrastructure.
Content (course unit)
PART 1: Discrete mathematics of cryptography Divisibility, primes, Euclid’s algorithm, congruence, Euler’s and Fermat's theorems PART 2: Encryption algorithms and software Basic concepts and principles of cryptology, classical ciphers and their cryptanalysis, types of modern cryptographic algorithms, hash functions and digital signature, mathematical foundations of most common encryption methods
Location and time
Spring semester 2026. The study will be conducted online. After the initial information, learning is independent of time and location. Guidance timings and methods will be announced at the start of the study period.
Assessment methods and criteria
The assessment is based on tasks to be submitted via the Moodle platform. There are no exams.
Assessment scale
H-5
Teaching methods
The study method is self-directed learning. Evaluation relies on responses to questions and assignments provided within the Moodle learning platform. The Moodle workspace for the course includes written learning materials, a series of video lectures, and assignments. Guidance is available to assist with completing tasks.
Learning materials
Learning materials are in the Moodle workspace of the training course.
Student workload
The student's workload is 133 hours.
Content scheduling
Students can decide how to use their time independently.
Further information
Evaluation scale: 0 = failed, 1.2 = satisfactory, 3.4 = good, 5 = excellent The assessment is based on tasks to be submitted via the Moodle platform. There are no exams.