Student who passed the course satisfactorily will be able to:

• understand the fundamentals of parameter estimation and inverse problem methodologies
• analyse key concepts such as uncertainty, ill-posedness, and regularisation
• apply inverse problem techniques to diverse fields, including engineering, finance, and biology
• develop strategies to improve model accuracy and reliability in practical applications