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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

  • TIC23S1
    Bachelor'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