Civil and Structural Engineering, Master's Programme
Artificial Intelligence and The Internet of Things, Master's Programme
Artificial Intelligence, 5-year master programme
Master's Programme in Industrial Economics and Technology Management
Master's Programme in Industrial Economics and Technology Management (5 years)
Language of instruction
English
Recommended prerequisites
Participants are expected to have completed the course IND416-G Project management and -planning, or possess equivalent experience/knowledge.
Learning outcomes
On successful completion of the course, the student will know how to:
Demonstrate in-depth knowledge of development processes that often include learning over time, including project planning, design, engineering, product development and research
Use different development methods to ensure predictability and flexibility towards project delivery.
Describe and apply techniques and implementation methods to carry out project planning and product development processes.
Analyze, plan and execute design and engineering projects
Use critical thinking about methods in process innovation
Course contents
Conceptual understanding of design and engineering, including:
Classic design theory
Learning, gradual maturity in design
Interdependence and coordination theory
Complexity, the CYNEFIN framework and wicked problems
Information, communication and rhetoric, including BIM
Creating value in design and engineering, including buildability and customer value
Methodological approaches to manage design and engineering processes:
Lean design management (LDM)
Management of design processes in the different phases/steps of design
Development of a model/structure for comprehensive management of detailed design processes
Different project delivery models and the impact on the design processes
Virtual Design in Construction (VDC) (intergrating product, organization and process)
Last Planner System (LPS) in design
Agile and Scrum applied in design
Design and uncertainty
Other complementary methods and techniques, including Target Value Design (TDV); Set Based Design (SBD); Design Structure Matrix (DSM); Choosing by advantages (CBA).
It will be applied data and cases from the AEC industry, and so far as possible also from other industries such as the offshore industry, software engineering, etc.
Teaching methods
Lectures, possibly company visit, written assignment work. Workload is estimated to be comprised of approximately 200 hours.
Assessment methods and criteria
The project counts 40% of the total grade. Individual oral examination, comprises 60 % of the total grade. Graded assessment.
Evaluation
The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.”