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Cryptology (5 cr)

Code: 5051156-3007

General information


Enrollment

13.12.2023 - 01.02.2024

Timing

22.01.2024 - 30.04.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Campus

Kupittaa Campus

Teaching languages

  • English

Seats

0 - 35

Degree programmes

  • Degree Programme in Information and Communication Technology

Teachers

  • Ali Khan

Groups

  • ICTMODembeddedSem
  • VAVA2324
  • 24.01.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 31.01.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 07.02.2024 10:00 - 12:00, Cryptology 5051156-3007
  • 14.02.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 28.02.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 06.03.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 13.03.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 20.03.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 27.03.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 03.04.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 11.04.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 17.04.2024 09:00 - 12:00, Cryptology 5051156-3007
  • 24.04.2024 09:00 - 12:00, Cryptology 5051156-3007

Objective

After completing the course the student:
is familiar with the basic concepts and principles of cryptology
understands some mathematical backgrounds of cryptography
knows how symmetric and asymmetric ciphers function
can explain the workings of some cryptographic applications

Content

• basic concepts and principles of cryptology
• mathematical backgrounds of cryptography
• symmetric and asymmetric ciphers
• some up to date cryptographic applications

Location and time

September – December 2018.

Materials

Understanding Cryptography by C. Paar and J. Pelz (Springer, 2010). Available in the library. Some chapters are available for free online.
Various internet sources, links & descriptions are provided in Itslearning.

Teaching methods

Classroom activities, group work and independent work; project work, task-based (homework).

Exam schedules

Exam dates will be published on ItsLearning

International connections

The contents of the course give understanding of the basic cryptographic tools and devices which are essential in the operating environment of an ICT engineer, such as all electronic and wireless communications, e-commerce applications etc.
Students will team up for a project work on some current and relevant aspect of cryptology. The teams will share their work to the whole group, which gives everyone a broader understanding on the topic.
Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration.

Completion alternatives

By Exam:
If you choose to take the exam, your grading will be based on the following criteria:

Exercises: 40%
Project: 20%
Final Exam: 40%

By Assignments:
If you choose to complete the course by assignments then the following grading will be followed:

Exercises: 80%
Project: 20%

Regardless of the option you choose, we will follow the grading scale below:

Below 40%: F
40-59%: 1
60-79%: 2
80-85%: 3
86-90%: 4
90-100%: 5

.

Student workload

Classroom activities participation
Homework
Project work
Final exam (optional)

Content scheduling

• basic concepts and principles of cryptology
• mathematical backgrounds of cryptography
• symmetric and asymmetric ciphers
• some up to date cryptographic applications

January – April 2024.

Further information

Timetables in lukkari.turkuamk.fi.
Other practical information & materials in Itslearning.

Evaluation scale

H-5

Assessment methods and criteria

If you choose to take the exam, your grading will be based on the following criteria:

Exercises: 40%
Project: 20%
Final Exam: 40%

Otherwise, the grading will be as follows:

Exercises: 80%
Project: 20%

Regardless of the option you choose, we will follow the grading scale below:

Below 40%: F
40-59%: 1
60-79%: 2
80-85%: 3
86-90%: 4
90-100%: 5

.

Assessment criteria, fail (0)

Below 40%: F

Assessment criteria, satisfactory (1-2)

40-59%: 1
60-79%: 2

Assessment criteria, good (3-4)

80-85%: 3
86-90%: 4

Assessment criteria, excellent (5)

90-100%: 5

Qualifications

Basics of Mathematical Analysis, Number Theory and Algorithmics