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Blekinge Institute of Technology
Department of Mechanical Engineering
Revision: 2
Reg.no:
Course syllabus
Digital Twin and Industry 4.0
Digital Twin and Industry 4.0
5 credits (5 högskolepoäng)
Course code: MT2575
Main field of study: Mechanical Engineering
Disciplinary domain: Technology
Education level: Second-cycle
Specialization: AXX - Second cycle, in-depth level of the course cannot be classified
Language of instruction: English
Applies from: 2023-01-16
Approved: 2022-09-01
1. Descision
This course is established by Dean 2021-12-03. The course syllabus is approved by Head of Department of Mechanical Engineering 2022-09-01 and applies from 2023-01-16.
2. Entry requirements
Admission to the course requires at least 180 completed credits of which 90 credits in Mechanical Engineering, Industrial Economics and Management or adjacent subject area within the field of technology.
3. Objective and content
3.1 Objective
Digital twin is a concept that is used to depict a digital replica of a product in use. This concept is enabled by the enhanced ubiquity of sensors and connectivity of products, coupled with increased computing power and storage of data. By having a duplicate of the individual product in operation it is possible to see in real-time the health of individual products and components and to apply analysis and simulations of different scenarios for maintenance, as well as support the development of the next generation of products.
The purpose of the course is to enable students to acquire knowledge and understanding of the Digital Twin concept, as well as to provide tools and methods suitable to develop a Digital Twin.
3.2 Content
- Introducing Industry 4.0
- Introducing Digital Twins
- Designing Digital Twins
- Deploying Digital Twins
4. Learning outcomes
The following learning outcomes are examined in the course:
4.1. Knowledge and understanding
On completion of the course, the student will be able to:
- Describe the transition to Industry 4.0 and its challenges and opportunities.
- Describe what digital twins are and their applications in the industry.
- Understand the potential of digital twins in the context of the design of complex systems.
4.2. Competence and skills
On completion of the course, the student will be able to:
- Identify the functions of a digital twin and its boundaries.
- Perform the necessary steps of data gathering and data preparation prior to data analysis.
- Perform data analysis by applying the basic principles of data mining and machine learning.
- Develop a digital twin application.
4.3. Judgement and approach
On completion of the course, the student will be able to:
- Analyze the consequences that the availability of a digital twin has for system design and development.
- Identify and estimate the major risks related to a development and maintenance of a digital twin.
- Justify when the use of a digital twin is desirable.
- Discuss the feasibility of developing a digital twin.
5. Learning activities
Kursen innehåller en kombination av lärandeaktiviteter. Förinspelade föreläsningar och övningar är grunden där deltagarna lär sig om begrepp och teorier som är relevanta för en djupare förståelse av digitala tvillingar. Förinspelade programvaruhandledningsföreläsningar finns tillgängliga för att stödja studenterna i genomförande av kursuppgifterna.
Kursuppgifter utförs individuellt och studenterna ges möjlighet att aktivt utföra, analysera och presentera sitt arbete under handledning. Individuell handledning erbjuds under hela kurstiden.
6. Assessment and grading
Modes of examinations of the course
| Code | Module | Credit | Grade |
| 2305 | Project Assignment 1 | 1.5 credits | GU |
| 2315 | Project Assignment 2 | 1 credits | GU |
| 2325 | Project Assignment 3 | 2.5 credits | GU |
The course will be graded G Pass, UX Failed result, a little more work required, U Fail.
The information before a course occasion states the assessment criteria and make explicit in which modes of examination that the learning outcomes are assessed.
An examiner can, after consulting the Disability Advisor at BTH, decide on a customized examination form for a student with a long-term disability to be provided with an examination equivalent to one given to a student who is not disabled.
7. Course evaluation
The course evaluation should be carried out in line with BTH:s course evaluation template and process.
8. Restrictions regarding degree
The course can form part of a degree but not together with another course the content of which completely or partly corresponds with the contents of this course.
9. Course literature and other materials of instruction
The course is based on theory- and work material (scientific articles and industry cases) that is distributed to students during the course.
This is not a legal document. If you would like a copy of the legal decision regarding this course plan, contact the registrar at Blekinge Institute of Technology.