Optical networks (5 cr)
Code: TI00BI37-3002
General information
- Enrollment
- 12.04.2021 - 25.04.2021
- Registration for the implementation has ended.
- Timing
- 01.09.2021 - 10.12.2021
- 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
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Vesa Kankare
- 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?
Evaluation
Students are able to
(a) use professional vocabulary and concepts in an expert way in different situations.
(e) choose appropriate models, methods, software and techniques according to the purpose and justify these choices.
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.
Independent track:
If you are working in a company, organization or a higher education project aligned with the study unit learning outcomes, you are able to complete the study unit in your workplace. In this case contact your responsible teacher in the beginning of the studies to agree with a development project you can execute in your work. Successful completion requires you study the topics in theory and practice. You must show your skills via a demonstration, which is determined based on learning objectives.
Blended 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
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
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