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Cyber Threat Information and Data-analytics (5 cr)

Code: TTC6030-3012

General information


Enrollment

18.11.2024 - 09.01.2025

Timing

13.01.2025 - 30.04.2025

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Online learning

Unit

School of Technology

Teaching languages

  • English

Seats

0 - 35

Degree programmes

  • Bachelor's Degree Programme in Information and Communications Technology

Teachers

  • Tarja Ajo
  • It Instituutti
  • Heikki Järvinen

Groups

  • TTV22S5
    Tieto- ja viestintätekniikka (AMK)
  • TTV22S2
    Tieto- ja viestintätekniikka (AMK)
  • TTV22S3
    Tieto- ja viestintätekniikka (AMK)
  • TIC22S1
    Bachelor's Degree Programme in Information and Communications Technology
  • TTV22S1
    Tieto- ja viestintätekniikka (AMK)
  • TTV22SM
    Tieto- ja viestintätekniikka (AMK)
  • TTV22S4
    Tieto- ja viestintätekniikka (AMK)
  • TTV22SM2
    Tieto- ja viestintätekniikka (AMK)
  • ZJA25KTIKY2
    Avoin amk, Kyberturvallisuus 2, Verkko
  • 13.01.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 20.01.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 27.01.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 03.02.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 10.02.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 17.02.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 03.03.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 10.03.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 17.03.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 24.03.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 31.03.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 07.04.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 14.04.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012
  • 28.04.2025 11:15 - 13:45, Cyber Threat Information and Data-analytics TTC6030-3012

Objectives

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

Learning materials and recommended literature

Materials in the e-learning environment.

Teaching methods

- lectures
- independent study
- distance learning
- webinars
- small group learning
- exercises
- learning tasks

Practical training and working life connections

- visiting lecturers

Exam dates and retake possibilities

The possible date and method of the exam will be announced in the course opening.

Alternative completion methods

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures 52 h
- exercises 15 h
- assignment 36 h
- independent study 32 h
Total 135 h

Further information for students

The course assessment methods will be presented during the first meeting. Prior knowledge of Python programming language is recommended.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

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.

Evaluation criteria, good (3-4)

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.

Evaluation 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.