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Optical networks (5 cr)

Code: TI00BI37-3002

General information


Enrollment

12.04.2021 - 25.04.2021

Timing

01.09.2021 - 10.12.2021

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Campus

Kotka Campus

Teaching languages

  • Finnish

Degree programmes

  • Degree Programme in Information Technology

Teachers

  • Vesa Kankare

Groups

  • TIKT18SPTIVE

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?

Materials

Online self-study material, online resources and laboratory exercises

Teaching 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

Exam schedules

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