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Network AutomatizationLaajuus (5 cr)

Code: TTC5010

Credits

5 op

Teaching language

  • Finnish

Responsible person

  • Jarmo Viinikanoja

Objective

You know network automation and related technologies. You understand how the different characteristics of devices affect automation. You are able to use automation in creating and researching networks. You are able to create a topology image that can be used in automation. You are able to create networks automatically.

Purpose of the course
You know network automation and related technologies.

Competences of the course
EUR-ACE: Engineering practice 
EUR-ACE: Knowledge and understanding 

Content

Equipment
Automation technologies
Topology automation
Validation of settings
Automatic installation of settings
Recovery from errors

Qualifications

Data Networks
Linux basics
Basics of Programming

Assessment criteria, satisfactory (1)

Sufficient 1: The student is familiar with network automation and related technologies. The student understands how the different properties of devices affect automation.

Satisfactory 2: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect device information

Assessment criteria, good (3)

Good 3: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment

Very good 4: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment. The student is able to modify/create the environment automatically

Assessment criteria, excellent (5)

Excellent 5: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment. The student is able to automatically modify/create the environment, taking into account error situations and validation of settings

Enrollment

01.08.2024 - 22.08.2024

Timing

26.08.2024 - 18.12.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages
  • Finnish
Seats

0 - 35

Degree programmes
  • Bachelor's Degree Programme in Information and Communications Technology
Teachers
  • Antti Häkkinen
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)

Objectives

You know network automation and related technologies. You understand how the different characteristics of devices affect automation. You are able to use automation in creating and researching networks. You are able to create a topology image that can be used in automation. You are able to create networks automatically.

Purpose of the course
You know network automation and related technologies.

Competences of the course
EUR-ACE: Engineering practice 
EUR-ACE: Knowledge and understanding 

Content

Equipment
Automation technologies
Topology automation
Validation of settings
Automatic installation of settings
Recovery from errors

Learning materials and recommended literature

Materials in the e-learning environment.

Teaching methods

- lectures
- independent study
- 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 20 h
- exercises 60 h
- assignment 25 h
- independent study 30 h

Total 135 h

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Sufficient 1: The student is familiar with network automation and related technologies. The student understands how the different properties of devices affect automation.

Satisfactory 2: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect device information

Evaluation criteria, good (3-4)

Good 3: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment

Very good 4: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment. The student is able to modify/create the environment automatically

Evaluation criteria, excellent (5)

Excellent 5: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment. The student is able to automatically modify/create the environment, taking into account error situations and validation of settings

Prerequisites

Data Networks
Linux basics
Basics of Programming

Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages
  • Finnish
Seats

0 - 35

Degree programmes
  • Bachelor's Degree Programme in Information and Communications Technology
Teachers
  • Karo Saharinen
  • Jarmo Viinikanoja
Groups
  • TTV21S3
    Tieto- ja viestintätekniikka (AMK)
  • TTV21S5
    Tieto- ja viestintätekniikka (AMK)
  • TTV21S2
    Tieto- ja viestintätekniikka (AMK)
  • TTV21S1
    Tieto- ja viestintätekniikka (AMK)

Objectives

You know network automation and related technologies. You understand how the different characteristics of devices affect automation. You are able to use automation in creating and researching networks. You are able to create a topology image that can be used in automation. You are able to create networks automatically.

Purpose of the course
You know network automation and related technologies.

Competences of the course
EUR-ACE: Engineering practice 
EUR-ACE: Knowledge and understanding 

Content

Equipment
Automation technologies
Topology automation
Validation of settings
Automatic installation of settings
Recovery from errors

Learning materials and recommended literature

Materials in the e-learning environment.

Teaching methods

- lectures
- independent study
- 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 20 h
- exercises 60 h
- assignment 25 h
- independent study 30 h

Total 135 h

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Sufficient 1: The student is familiar with network automation and related technologies. The student understands how the different properties of devices affect automation.

Satisfactory 2: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect device information

Evaluation criteria, good (3-4)

Good 3: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment

Very good 4: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment. The student is able to modify/create the environment automatically

Evaluation criteria, excellent (5)

Excellent 5: The student knows network automation and related technologies. The student understands how the different properties of devices affect automation. The student knows how to automatically collect data from the devices and use it to automatically create a topology image of the environment. The student is able to automatically modify/create the environment, taking into account error situations and validation of settings

Prerequisites

Data Networks
Linux basics
Basics of Programming