IT Service Platforms (3 cr)
Code: TTC1010-3020
General information
Enrollment
01.08.2024 - 22.08.2024
Timing
26.08.2024 - 18.12.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- English
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Juho Pekki
Groups
-
TIC23S1Bachelor's Degree Programme in Information and Communications Technology
- 30.08.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 06.09.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 13.09.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 20.09.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 27.09.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 04.10.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 11.10.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 25.10.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 01.11.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 08.11.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 15.11.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 22.11.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 29.11.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
- 13.12.2024 11:00 - 12:30, IT Service Platforms TTC1010-3020
Objectives
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
Learning materials and recommended literature
Materials in the e-learning environment.
Teaching methods
- lectures
- independent study
- exercises
- learning tasks
Alternative completion methods
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
Further information for students
80% attendance requirement.
The assessment methods will be announced during the first session of the course.
Evaluation scale
0-5
Prerequisites
Data Networks