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
-
ITMI22SPInformation technology, full-time studies
- Small groups
- Group 1
- Group 2
- Course
- IT00EB93
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