Skip to main content

Cyber Threat Information and Data-analytics (5 cr)

Code: TTC6030-3011

General information


Enrollment
01.08.2024 - 22.08.2024
Registration for the implementation has ended.
Timing
26.08.2024 - 18.12.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
Mode of delivery
Online learning
Unit
School of Technology
Teaching languages
Finnish
Seats
0 - 35
Degree programmes
Bachelor's Degree Programme in Information and Communications Technology
Teachers
Tarja Ajo
Heikki Järvinen
Groups
TTV22S5
Tieto- ja viestintätekniikka (AMK)
TTV22S2
Tieto- ja viestintätekniikka (AMK)
TTV22S3
Tieto- ja viestintätekniikka (AMK)
TTV22S1
Tieto- ja viestintätekniikka (AMK)
TTV22S4
Tieto- ja viestintätekniikka (AMK)
ZJA24STIKY2
Avoin amk, Kyberturvallisuus 2, Verkko
Course
TTC6030

Realization has 31 reservations. Total duration of reservations is 76 h 30 min.

Time Topic Location
Wed 28.08.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 29.08.2024 time 11:15 - 12:45
(1 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 04.09.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 05.09.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 11.09.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 12.09.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 18.09.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 19.09.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 25.09.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 26.09.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 02.10.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 03.10.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 09.10.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 10.10.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 23.10.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 24.10.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 30.10.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 31.10.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 06.11.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 07.11.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 13.11.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 14.11.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 20.11.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 21.11.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 27.11.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 28.11.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 04.12.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 05.12.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 11.12.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Thu 12.12.2024 time 11:15 - 13:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Wed 18.12.2024 time 08:15 - 10:45
(2 h 30 min)
Kyberuhkatieto ja data-analytiikka TTC6030-3011
Verkko
Changes to reservations may be possible.

Evaluation scale

0-5

Objective

Purpose:
You understand the principles of threat intelligence, its types and exploitability in cyber defense. You learn to utilise data analytics methods in handling great amounts of data from cyber security perspective. You understand the significance of enriching the data with external data sources.

EUR-ACE Competences:
Multidisciplinary competences 
Knowledge and understanding 
Engineering practice 
Communication and team-working 

Learning outcomes:
You know the basic concepts of threat intelligence, you understand the purpose of threat intelligence and data-analytics, you can apply correct methods to the specific problems, and you can do data-analytics using Python programming language.

Content

Content:
Principles and forms of threat intelligence
Exploitability of threat intelligence
Methods of data analytics in handling data and exploitation
Enriching threat intelligence with external sources

Teaching methods

Completing the course includes lecture recordings, written materials and returnable learning assignments. Course tasks and their return dates are described in the course workspace.

Assessment criteria, satisfactory (1)

Sufficient 1: You know superficially the principles and types of threat intelligence in cyber defense. You are able to select the most common methods for the problem to be solved and are able to apply the most common methods. Additionally, you are able to give a constricted assessment of their implementation and justify the conclusions.

Satisfactory 2: You knows the principles and types of threat intelligence in cyber defense. You are able to select the most common methods for the problem to be solved and you are to apply their technical competence to practice. Additionally, You are able to assess their implementation superficially and justify the conclusions.

Assessment criteria, good (3)

Good 3: You know the principles, types and exploitability of threat intelligence in cyber defense. You are able to select the most common methods for the problem to be solved and are able to apply their technical competence to practice. Additionally, you are able to assess their implementation versatilely and justify the conclusions.

Very good 4: You know the principles, types and exploitability of threat intelligence in cyber defense. You are able to select the correct methods for the problem to be solved and are able to apply their technical competence to practice. Additionally, you are able to assess their implementation versatilely and justify the conclusions.

Assessment criteria, excellent (5)

Excellent 5: You know the principles, types and exploitability of threat intelligence in cyber defense. You are able to select the correct methods for the problem to be solved and are able to apply their technical competence to practice. Additionally, you are able to assess their implementation critically and justify the conclusions.

Further information

Prior knowledge of Python programming language is recommended.

Go back to top of page