Digital technologies as enablers of circular economy (5 cr)
Code: AT00CV45-3001
General information
Enrollment
20.11.2023 - 05.01.2024
Timing
08.02.2024 - 18.04.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- English
Degree programmes
- Bachelor’s Degree Programme in Sustainable Solutions Engineering
Teachers
- Malahat Ghoreishi
Scheduling groups
- Lecture 1 (Size: 0. Open UAS: 0.)
Groups
-
TLTISSE22SV
Small groups
- Lecture 1
Learning outcomes
The student is able to
- understand the role of digital technologies such as AI, IoT and blockchain in circular economy
- understand different applications of digital technologies in circular economy
- know how different companies utilize these technologies in devolving circular business models
- understand how digital platforms will enable circular economy by reducing waste and emission
Implementation and methods of teaching
Digital tools and platforms in CE is an online course. Through this course students will learn the capabilities of different digital technologies, mainly Industry 4.0 technologies, such as IoT, AI and blockchain and their applications in enabling CE in different industries. In addition, the students will learn different circular business models based on these technologies throughout different case examples and online business model workshops. For business model workshops, we will use Miro board for brain storming and more interactive course.
Each session includes group assignments and individual assignments are mainly focused for reviewing the lectures.
In this course, we will have real company challenges, where 2-3 companies will present a challenge in their CE problem and students have to offer a digital solution to the company which is considered as the final assignment and to pass the course.
The final project work and presentation counts as 50% of the final grade and the rest is related to assignments 40% and with 10% for the active involvement in the course.
More detailed and description of the teaching material will be provided in the introduction of the first session.
Timing and attendance
The course is held during the Spring semester 8.02-18.04.2024 and the detail schedule of the course will be provided in Moodle.
Learning material and recommended literature
The learning material of this course will be based on scientific books, articles and case company resources and examples. The course material will be uploaded in moodle after each session including additional reading and learning materials according to student's interests.
Students can familiarize themselves with Miro board in advance, although it's not a must!
The link for Miro : https://miro.com/ and the sign-up is free with student account.
Alternative completion methods
Can be discussed with the instructor. For example if the student have their own company project, it could be considered as well if relevant to the topic of the course.
In any case, inform the teacher ASAP.
Exam retakes
No Exam
Learning environment
Online learning platform, ZOOM and Teams Miro board
Student time use and work load
The average work load for this course is estimated to be 135 hours (5 ECTS). The main part of the study module´s work load consists of independent and group work, about 115 hours (including individual assignments and final group work). The time allocation for contact learning is about 20 hours.
Contents
- Introduction to digital technologies
- Introducing Industry 4.0 technologies (IoT, AI, Blockchain and 3D printing &CAD) and their capabilities
- How Industry 4.0 technologies are utilized in CE solutions
- Industry 4.0- based business models in CE
Additional information for students: previous knowledge etc.
Basic Knowledge of Circular Economy Concept.
Assessment scale
1-5
Failed (0)
less than 50p is fail 0
Assessment criteria: level 1 (assessment scale 1–5)
Grade 1: 50 - 59 p
Grade 2: 60 - 69 p
Assessment criteria: level 3 (assessment scale 1–5)
Grade 3: 70 - 79 p
Grade 4: 80 - 89 p
Assessment criteria: level 5 (assessment scale 1–5)
Grade 5 requires a minimum of 90 p