Optical Networks (5 cr)
Code: 206104712-3003
General information
- Enrollment
- 02.01.2019 - 14.01.2019
- Registration for the implementation has ended.
- Timing
- 02.01.2019 - 31.07.2019
- 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
- 16 - 24
- Degree programmes
- Degree Programme in Information Technology
Objective
Upon completion of this study module the student is able to analyze and design optical data transmision systems elements of optical networks optical Ethernet solutions optical access solutions signal propagation in optical fiber
Content
• SDH/SONET • WDM elements • WDM network topology ja redundancy • network serviceability • WDM network design • DenseWDM, CoarseWDM • 10Gbps, 40Gbps, 100Gbps Ethernet, delays and power comsumption • optical access network, TPON, WPON, WRPON, GPON, EPON
Course material
Lecture presentations, online resources, 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.
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 half is contact lessons and laboratory exercises and the other half self study, practice exams and remote laboratory exercises
Evaluation scale
1-5
Assessment criteria, good (3)
Assessment scale: Excellent (5), good (4-3), satisfactory (2-1), fail (0)
Assessment methods and criteria
Assessment is based on learning diary, exercises and written exam
Assessment criteria, good (3-4)
(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.