Advanced networkingLaajuus (5 cr)
Code: IT00EB93
Credits
5 op
Teaching language
- English
Objective
You can optimize computer network functionality with advanced protocols and configurations.
You can troubleshoot networks with more complex scenarios.
You understand the concepts of software defined networking.
You can use network programming methods to improve and automate network functionality.
Content
How to configure advanced functionality with networking protocols, such as OSPF, EIGRP, STP, eBGP, SPAN and Netflow?
How to troubleshoot more complex networking scenarios?
What does SDN mean and how is it used to control networks?
How to automate network functionality with Python?
Qualifications
Scaling networks
Enrollment
04.11.2024 - 17.11.2024
Timing
13.01.2025 - 02.05.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Information Technology
Campus
Mikkeli Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Information Technology
Teachers
- Matti Juutilainen
Teacher in charge
Matti Juutilainen
Groups
-
ITMI23SPInformation technology, full-time studies
Objective
You can optimize computer network functionality with advanced protocols and configurations.
You can troubleshoot networks with more complex scenarios.
You understand the concepts of software defined networking.
You can use network programming methods to improve and automate network functionality.
Content
How to configure advanced functionality with networking protocols, such as OSPF, EIGRP, STP, eBGP, SPAN and Netflow?
How to troubleshoot more complex networking scenarios?
What does SDN mean and how is it used to control networks?
How to automate network functionality with Python?
Opiskelumateriaali
AWS Academy Cloud Foundations
Yksilölliset oppimisväylät
The course consists of lectures, home assignments, labs and practice exams.
TKI ja työelämäyhteistyö
-
Tentit ja muut määräajat
Will be announced in the course kick-off.
Opiskelijan työmäärä
Total work amount is 135 hours, from which about 60 hours is lectures/work under teacher supervision and the rest is self-study and home assignments.
Evaluation scale
1-5
Assessment methods and criteria
Evaluation is based on practical tasks, labs and exams.
Qualifications
Scaling networks
Enrollment
06.11.2023 - 17.11.2023
Timing
04.03.2024 - 26.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Information Technology
Campus
Mikkeli Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Information Technology
Teachers
- Matti Juutilainen
- Jevgeni Ulm
Teacher in charge
Matti Juutilainen
Scheduling groups
- Group 1 (Size: 20. Open UAS: 0.)
- Group 2 (Size: 20. Open UAS: 0.)
Groups
-
ITMI22SPInformation technology, full-time studies
Small groups
- Group 1
- Group 2
Objective
You can optimize computer network functionality with advanced protocols and configurations.
You can troubleshoot networks with more complex scenarios.
You understand the concepts of software defined networking.
You can use network programming methods to improve and automate network functionality.
Content
How to configure advanced functionality with networking protocols, such as OSPF, EIGRP, STP, eBGP, SPAN and Netflow?
How to troubleshoot more complex networking scenarios?
What does SDN mean and how is it used to control networks?
How to automate network functionality with Python?
Opiskelumateriaali
Advanced networking topics. Material will be announced in the course kick-off.
Yksilölliset oppimisväylät
Scheduled track:
The course consists of lectures (not compulsory but highly recommended), home assignments (help to understand the theory), labs (practical tasks to learn configuring the devices) and exams.
Blended track:
The required exams can be done at certain times, agreed with the teacher. Other material can be studied from a network learning environment.
TKI ja työelämäyhteistyö
-
Tentit ja muut määräajat
As informed in the IT course kick-off.
Opiskelijan työmäärä
Total work amount is 135 hours, from which 55 hours is lectures/work under teacher supervision and 80 hours is self-study and home assignments.
Evaluation scale
1-5
Assessment methods and criteria
Evaluation is based on practical tasks, labs and exams.
Qualifications
Scaling networks
Enrollment
07.11.2022 - 18.11.2022
Timing
06.03.2023 - 28.04.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Information Technology
Campus
Mikkeli Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Information Technology
Teachers
- Matti Juutilainen
Teacher in charge
Matti Juutilainen
Scheduling groups
- Pienryhmä 1 (Size: 20. Open UAS: 0.)
- Pienryhmä 2 (Size: 20. Open UAS: 0.)
Groups
-
ITMI21SPInformation technology, full-time studies
Small groups
- Pienryhmä 1
- Pienryhmä 2
Objective
You can optimize computer network functionality with advanced protocols and configurations.
You can troubleshoot networks with more complex scenarios.
You understand the concepts of software defined networking.
You can use network programming methods to improve and automate network functionality.
Content
How to configure advanced functionality with networking protocols, such as OSPF, EIGRP, STP, eBGP, SPAN and Netflow?
How to troubleshoot more complex networking scenarios?
What does SDN mean and how is it used to control networks?
How to automate network functionality with Python?
Opiskelumateriaali
Advanced networking topics. Material will be announced in the course kick-off.
Yksilölliset oppimisväylät
Scheduled track:
The course consists of lectures (not compulsory but highly recommended), home assignments (help to understand the theory), labs (practical tasks to learn configuring the devices) and exams.
Blended track:
The required exams can be done at certain times, agreed with the teacher. Other material can be studied from a network learning environment.
TKI ja työelämäyhteistyö
-
Tentit ja muut määräajat
As informed in the IT course kick-off.
Opiskelijan työmäärä
Total work amount is 135 hours, from which 55 hours is lectures/work under teacher supervision and 80 hours is self-study and home assignments.
Evaluation scale
1-5
Assessment methods and criteria
Evaluation is based on practical tasks, labs and exams.
Qualifications
Scaling networks
Enrollment
08.11.2021 - 21.11.2021
Timing
07.03.2022 - 30.04.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Information Technology
Campus
Mikkeli Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Information Technology
Teachers
- Matti Juutilainen
Teacher in charge
Matti Juutilainen
Scheduling groups
- Pienryhmä 1 (Size: 0. Open UAS: 0.)
- Pienryhmä 2 (Size: 0. Open UAS: 0.)
Groups
-
ITMI20SPInformation technology, full-time studies
Small groups
- Pienryhmä 1
- Pienryhmä 2
Objective
You can optimize computer network functionality with advanced protocols and configurations.
You can troubleshoot networks with more complex scenarios.
You understand the concepts of software defined networking.
You can use network programming methods to improve and automate network functionality.
Content
How to configure advanced functionality with networking protocols, such as OSPF, EIGRP, STP, eBGP, SPAN and Netflow?
How to troubleshoot more complex networking scenarios?
What does SDN mean and how is it used to control networks?
How to automate network functionality with Python?
Opiskelumateriaali
Advanced networking topics. Material will be announced in the course kick-off.
Yksilölliset oppimisväylät
Scheduled track:
The course consists of lectures (not compulsory but highly recommended), home assignments (help to understand the theory), labs (practical tasks to learn configuring the devices) and exams.
Blended track:
The required exams can be done at certain times, agreed with the teacher. Other material can be studied from a network learning environment.
TKI ja työelämäyhteistyö
-
Tentit ja muut määräajat
As informed in the IT course kick-off.
Opiskelijan työmäärä
Total work amount is 135 hours, from which 55 hours is lectures/work under teacher supervision and 80 hours is self-study and home assignments.
Evaluation scale
1-5
Assessment methods and criteria
Evaluation is based on practical tasks, labs and exams.
Qualifications
Scaling networks