Optical networks (5 cr)
Code: TI00BI37-3003
General information
- Enrollment
-
06.04.2022 - 22.04.2022
Registration for the implementation has ended.
- Timing
-
01.09.2022 - 16.12.2022
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
- Kotka Campus
- Teaching languages
- Finnish
- Seats
- 8 - 24
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Vesa Kankare
- Teacher in charge
- Vesa Kankare
- Groups
-
KTKT19SPCybersecurity, full-time studies
- Course
- TI00BI37
Objective
You are able to describe the principles of optical transport systems and their use in large-scale networks.
You are able to design optical transport systems as well as implement and verify basic passive optical networks.
Content
How do fiber optic transport work?
How to design an optical transport system?
How to implement passive optical transport?
How to measure and verify optical transport systems?
What are the benefits of using optical transport?
Course material
Online self-study material, online resources and laboratory exercises
Study forms and methods
Scheduled track:
You participate into scheduled contact lessons. You studies are progressing in the pace of the group schedule and self paced learning activities.
Blended and Independent track:
You study the topics by yourself and execute required learning activities. In this case contact your responsible teacher in the beginning of the studies to agree on the required activities and demonstration of your skills
RDI and work-related cooperation
-
Timing of exams and assignments
Retakes are arranged as needed in agreement with the teacher
Student workload
Achieving the learning outcomes requires 135 hours of work of which about third are contact lessons and laboratory exercises and the rest are self study, practice exams and remote exercises
Further information
The course has mandatory laboratory exercises which has to be executed in Kotka campus.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on learning activities, laboratory assignments and exam
Qualifications
Prior study units or comparable skills required:
Data networks 3