Skip to main content

IoT and Cloud ServicesLaajuus (5 cr)

Code: YT00DE59

Credits

5 op

Teaching language

  • English

Objective

The student is able to
- manage data collection and employ standard protocols for data transfer to a cloud service
- implement a data storage solution leveraging virtualization and cloud-based services
- conduct comparative analysis of data processing, transfer, and storage alternatives within the context of a data pipeline implementation

Enrollment

07.05.2025 - 31.08.2025

Timing

03.11.2025 - 06.11.2025

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages
  • English
Degree programmes
  • Master’s Degree Programme in Technological Transformation Leadership (Technology)
Teachers
  • Matti Welin
  • Rami Viksilä
Scheduling groups
  • Verkkoluento 1 (Size: 500. Open UAS: 0.)
Groups
  • TLTIYTTL25SV
    Master’s Degree Programme in Technological Transformation Leadership 25SV Lahti
  • TLABYTO25-26E
    Complementary competence (Master's) 2025-2026, Faculty of Technology
Small groups
  • Online lecture 1

Learning outcomes

The student is able to
- manage data collection and employ standard protocols for data transfer to a cloud service
- implement a data storage solution leveraging virtualization and cloud-based services
- conduct comparative analysis of data processing, transfer, and storage alternatives within the context of a data pipeline implementation

Assessment scale

1-5