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Advanced networking (5 cr)

Code: IT00EB93-3003

General information


Enrollment
06.11.2023 - 17.11.2023
Registration for the implementation has ended.
Timing
04.03.2024 - 26.04.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
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
ITMI22SP
Information technology, full-time studies
Small groups
Group 1
Group 2
Course
IT00EB93
No reservations found for realization IT00EB93-3003!

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?

Course material

Advanced networking topics. Material will be announced in the course kick-off.

Study forms and methods

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.

RDI and work-related cooperation

-

Timing of exams and assignments

As informed in the IT course kick-off.

Student workload

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

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