SBV4400 Interventions, preventative measures and innovations Course description

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge:

The student:

• understands the application of digital twins, machine learning, and optimization techniques in sustainable building design.
• has advanced knowledge of building physics, climate impacts, and building materials to propose robust and innovative solutions.
• can evaluate climate adaptation solutions for building envelopes and components.
• has insight into the physical and thermal properties of building materials and their life cycle impacts.
• is knowledgeable about embodied and operational emissions from buildings and strategies to reduce them.
• understands the integration of sustainability principles and advanced tools to create environmentally sound building designs.

Skills:

The student is capable of:

• Applying digital twins and machine learning to predict energy performance and occupant comfort.
• using LCA and GA optimization to enhance design sustainability and efficiency.
• analyzing and justifying choices for materials and components based on building physics calculations and life-cycle assessments.
• designing comprehensive sustainable building envelopes with detailed descriptions of materials and components.
• interpreting simulation tool results to improve and optimize designs.
• assessing the condition and maintenance needs of materials and components in existing buildings.

General competence:

The student is capable of:

• keeping up with the latest advancements through scholarly research.
• collaborating effectively in teams to address complex design challenges.
• presenting findings and designs in a professional and scholarly manner through written reports.

The exam consists of two parts:

1) Written individual exam under supervision, 3 hours, weighted 70 %, and

2) 15-20 minutes individual oral presentation of a topic followed by 5-10 minutes Q&A, weighted 30 %.

All assessment parts must be awarded a pass grade (E or better) for the student to pass the course.

Part 1 can be appealed, part 2 can not be appealed.

Each student must complete and pass an individual knowledge test with a minimum score of 75% in order to be eligible to submit the final project.

If this requirement is not met, the student will be granted one opportunity to retake the test by a specified deadline.

The teaching takes place with in-person attendance on campus, and the working methods vary between lectures and student-active learning methods.

Project report prepared in groups of 2 students, approx. 80 - 100 pages (excl. appendices).

The exam can be appealed.

All aids permitted.

Michael Long

BYGG2200 Geotechnics or equivalent Bachelors course at another Institution

Two internal examiner. (External examiners are used regulary).

Haidar Hosamo