IT Service Platforms (3cr)
Code
General information
- Enrollment
- 01.08.2024 - 22.08.2024
- Registration for the implementation has ended.
- Timing
- 26.08.2024 - 18.12.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Lutakko Campus
- Teaching languages
- Finnish
- Seats
- 0 - 35
- Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Realization has 8 reservations. Total duration of reservations is 12 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Thu 24.10.2024 time 12:30 - 14:00 (1 h 30 min) |
IT-palvelualustat TTC1010-3024 |
P2_D431
Elektroniikkalaboratorio
|
|
Thu 31.10.2024 time 12:30 - 14:00 (1 h 30 min) |
IT-palvelualustat TTC1010-3024 |
Online
|
|
Thu 07.11.2024 time 12:30 - 14:00 (1 h 30 min) |
IT-palvelualustat TTC1010-3024 |
Verkko, Online
|
|
Thu 14.11.2024 time 12:30 - 14:00 (1 h 30 min) |
IT-palvelualustat TTC1010-3024 |
P2_D431
Elektroniikkalaboratorio
|
|
Thu 21.11.2024 time 12:30 - 14:00 (1 h 30 min) |
IT-palvelualustat TTC1010-3024 |
Online
|
|
Thu 28.11.2024 time 12:30 - 14:00 (1 h 30 min) |
IT-palvelualustat TTC1010-3024 |
P2_D431
Elektroniikkalaboratorio
|
|
Thu 05.12.2024 time 12:30 - 14:00 (1 h 30 min) |
IT-palvelualustat TTC1010-3024 |
P2_D431
Elektroniikkalaboratorio
|
|
Thu 12.12.2024 time 12:30 - 14:00 (1 h 30 min) |
IT-palvelualustat TTC1010-3024 |
Verkko, Online
|
Evaluation scale
0-5
Objective
Purpose and objectives:
You recognize the service platforms for IT services. You know the procedures for the implementation of service platforms and how a service is built on the platform. You understand what kind of applications can utilize service platforms, and you understand their strengths and weaknesses.
EUR-ACE Competences:
Knowledge and Understanding
Engineering Practice
Investigations and information retrieval
Content
Virtualization
Cloud platforms
Web applications
Shared platform services
Scalability
Materials
Materials in the e-learning environment.
Teaching methods
- lectures
- independent study
- exercises
- learning tasks
Completion alternatives
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
Lectures 25h, self studying 20h, assingments 35h. Total 80h
Qualifications
Data Networks
Further information
The assessment methods will be announced during the first session of the course.
80% attendance requirement.