Optical networks (5 cr)
Code: TI00BI37-3006
General information
- Enrollment
-
07.04.2025 - 21.04.2025
Registration for the implementation has begun.
- Timing
-
01.09.2025 - 14.12.2025
The implementation has not yet started.
- 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
- 10 - 32
- Degree programmes
- Degree Programme in Cyber Security
- Teachers
- Vesa Kankare
- Jaakko Nurmi
- Teacher in charge
- Jaakko Nurmi
- Groups
-
KTKT22SPCybersecurity, full-time studies
- Course
- TI00BI37
Realization has 18 reservations. Total duration of reservations is 72 h 0 min.
Time | Topic | Location |
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Fri 05.09.2025 time 14:15 - 16:15 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Fri 12.09.2025 time 14:15 - 16:15 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Fri 19.09.2025 time 14:15 - 16:15 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 24.09.2025 time 13:00 - 15:00 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Tue 07.10.2025 time 13:00 - 15:00 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 08.10.2025 time 08:15 - 16:15 (8 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 15.10.2025 time 08:15 - 16:15 (8 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Fri 17.10.2025 time 09:45 - 11:45 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 29.10.2025 time 08:15 - 16:15 (8 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Fri 31.10.2025 time 14:30 - 16:30 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Thu 06.11.2025 time 08:00 - 16:00 (8 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 12.11.2025 time 08:15 - 16:15 (8 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Fri 14.11.2025 time 14:30 - 16:30 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 19.11.2025 time 08:15 - 16:15 (8 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 26.11.2025 time 13:00 - 15:00 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 03.12.2025 time 13:00 - 15:00 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Wed 10.12.2025 time 13:00 - 15:00 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
Fri 19.12.2025 time 14:15 - 16:15 (2 h 0 min) |
Optiset verkot TI00BI37-3006 |
A4011_uusikampus
Blue room (42)
|
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. The study materials will be published in the Learn environment during the course.
Study forms and methods
The course is mainly completed by participating in teaching according to the schedule, whereby studies progress according to the group's schedule and at the pace of independent exercises. The theory of the topic is discussed and exercises are done together during face-to-face teaching hours. The student also has the opportunity to complete the course at an accelerated pace by studying independently and doing tasks at their own pace. The course includes mandatory laboratory activities in campus.
RDI and work-related cooperation
-
Timing of exams and assignments
The course includes weekly learning assignments. Course exam is in the end of the course.
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