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Circular Economy Technologies and Data ManagementLaajuus (5 cr)

Code: YT00DF28

Credits

5 op

Teaching language

  • English

Objective

The student is able to
- understand the importance of technologies and data in promoting the circular economy.
- evaluate and apply technologies (e.g., AI, machine learning, sorting and identification) that support the circular economy, such as smart production systems, sensor technology, and digitalization, across various industries.
- understand how to collect, analyse, and utilise data to optimize circular economy processes and value chains.
- design innovative solutions that enhance resource efficiency, promote material circulation, and support sustainable development through the use of digital tools and technologies, such as digital product passport (DPP).

Enrollment

07.05.2025 - 31.08.2025

Timing

01.08.2025 - 31.12.2025

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 Circular Economy Solutions (Technology)
Teachers
  • Matti Welin
  • LAB_virtuaaliopettaja_YCES Virtuaaliopettaja (LAB)
Groups
  • TLTIYCES25SV
    Master’s Degree Programme in Circular Economy Solutions 25SV Lahti
  • TLABYTO25-26E
    Complementary competence (Master's) 2025-2026, Faculty of Technology

Learning outcomes

The student is able to
- understand the importance of technologies and data in promoting the circular economy.
- evaluate and apply technologies (e.g., AI, machine learning, sorting and identification) that support the circular economy, such as smart production systems, sensor technology, and digitalization, across various industries.
- understand how to collect, analyse, and utilise data to optimize circular economy processes and value chains.
- design innovative solutions that enhance resource efficiency, promote material circulation, and support sustainable development through the use of digital tools and technologies, such as digital product passport (DPP).

Assessment scale

1-5