COURSE SYLLABUS
Digitalization and Automation in Engineering Processes, 7.5 credits
Digitalisering och automation i produktframtagning, 7,5 högskolepoäng
Course Syllabus for students Spring 2023
| Course Code: | TDAR22 |
| Confirmed by: | Dean Mar 1, 2021 |
| Valid From: | Jan 1, 2022 |
| Version: | 1 |
| Education Cycle: | Second-cycle level |
| Disciplinary domain: | Technology
|
| Subject group: | MT1
|
| Specialised in: | A1N
|
| Main field of study: | Product Development |
Intended Learning Outcomes (ILO)
After a successful course, the student shall:
Knowledge and understanding
• demonstrate comprehension of Product Lifecycle Management (PLM) tools and their integration
• display knowledge of tools and methods for structuring design tasks and design knowledge
• demonstrate comprehension of Product Data Management (PDM)
Skills and abilities
• demonstrate skills in prescribing and using PLM and PDM tools
• demonstrate the ability to structure design tasks and design knowledge
• demonstrate skills in facilitating engineering processes in the industrial context
• demonstrate skills in identifying different types of design processes
Judgement and approach
• demonstrate the ability to analyse design processes for the planning of computer support and automation
Contents
This course provides knowledge on how to facilitate and improve the quality of design and engineering work using computer support, PLM and PDM tools. The students will learn how to understand different types of design and engineering processes.
The course includes the following elements:
- Classification of design tasks and design knowledge
- Mapping of design processes and design knowledge
- Representation of knowledge and reasoning such as Dependency Structure Matrix, Constraint-programming, Knowledge based engineering, Case Based Reasoning, Configuration and Parametric design
- PLM and PDM
- Design Automation
- Actual industrial cases in design automation
The teaching is conducted in English.
Prerequisites
Passed courses 180 credits in first cycle, at least 90 credits within the major subject Mechanical Engineering, Industrial Engineering and Management or Civil Engineering, and 15 credits in Mathematics. Proof of English proficiency is required. CAD course or equivalent is required (or the equivalent).
Examination and grades
The course is graded 5,4,3 or Fail.
Registration of examination:
| Name of the Test | Value | Grading |
|---|
| Written examination1 | 4 credits | 5/4/3/U |
| Tutorial | 2 credits | U/G |
| Seminars | 1.5 credits | U/G |
1 Determines the final grade of the course, which is issued only when all course units have been passed.
Course literature
The literature list for the course will be provided 8 weeks before the course starts.
Reference literature:
Hopgood, A.A, Intelligent Systems for Engineers and Scientists
CRC Press LLC, 2001
L.Hvam, N.H.Mortensen, J.Riis, Product Customization, Spinger eBooks, 2008
