Ultrasound is the most widely used clinical imaging modality, and its application to therapy has grown rapidly over the last decade. This module provides an...

Ultrasound is the most widely used clinical imaging modality, and its application to therapy has grown rapidly over the last decade. This module provides an introduction to the physics, mathematical modelling, and applications of biomedical ultrasound, both diagnostic and therapeutic. The content briefly covers the historical beginnings of ultrasound, then progresses through the physics and mathematical theory of wave propagation, ultrasound generation and detection, image formation, therapeutic mechanisms, and ends with a brief introduction to the emerging ideas that may play a significant role in the future. Students who take this course will have a solid grounding in ultrasound physics, modelling, and instrumentation to take into research or applied work.

A video description can be found at the UCL Media Central.

The research project is an opportunity for the students to develop their research skills and comes as a natural final step of their MSc...

The research project is an opportunity for the students to develop their research skills and comes as a natural final step of their MSc degree.  

The dissertation has an appropriate structure for the type of research problem, and the type of methods used.  

The project will be expected to answer a research question or test a hypothesis and the student will be expected to write this up as project dissertation.  

Students should produce a report which is equivalent in structure and tone to a scientific journal article.   

The dissertation should:  

- Examine a tightly focused question or hypothesis relating to a topic of significance.  

- Address a knowledgeable reader with a view to enhancing their understanding of the topic.  

- Argue from a position whilst critically assessing the issues and literature bearing on the question or hypothesis 

Aims:
This module introduces the applied mathematical and computational aspects of Quantitative Finance;

Learning outcomes:
On successful completion of the...