Content, progress and pedagogy of the module

Learning objectives

Knowledge

Students who complete the module: 

• Must be able to understand the background and theory of sensitivity analysis and uncertainty analysis in sustainable building design and operation 
• Must be able to explain how sensitivity analysis and uncertainty analysis are used in design optimization and operation 
• Must have knowledge of Machine Learning and Artificial Intelligence 

Skills

Students who complete the module: 

• Must be able to investigate, explain and develop engineering models within sustainable building design and operation using sensitivity analysis and uncertainty analysis 
• Must be able to quantify the influence of uncertainty in sustainable building design and operation using Monte Carlo modelling 
• Must be able to apply sensitivity analysis and uncertainty analysis in design and operation optimization 

Competences

Students who complete the module: 

• Must be able to choose proper modelling of a given problem in sustainable building design and operation and discuss inherent model limitations 
• Must be able to discuss and reflect on the accuracy of sustainable building design and operation engineering models subjected to uncertainty 

Type of instruction

Lectures, etc. supplemented with project work, workshops, presentation seminars, lab tests. 

Extent and expected workload

The module is 5 ECTS which is corresponding to 150 hours of study.

Exam

Exams