TISSUE DISSECTION|VESSEL PREPARATION|END-TO-END &amp; END-TO-SIDE ANASTOMOSES|SUTURING

Teaching for this hands-on module takes place at the dedicated surgical theatres of The Griffin Institute (formerly known as Northwick Park Institute of...

Teaching for this hands-on module takes place at the dedicated surgical theatres of The Griffin Institute (formerly known as Northwick Park Institute of Medical Research (NPIMR). The module delivers specialized surgical skills which increase in complexity; specifically: vascular and microsurgical techniques. Skills include: (1) Assessment of necessity for microsurgery (2) Decisions as to protocol and procedures (3) Set up and use of operating microscope (4) Tissue dissection and vessel preparation (5) End-to-end and end-to-side anastomoses (6) Interrupted and continuous sutures (7) Fault finding and repair.

This is the project module. In this module, you will perform research which will be usually be systematic reviews of research topics of importance to...

This is the project module. In this module, you will perform research which will be usually be systematic reviews of research topics of importance to patients and/or health professionals for which no recent systematic reviews exist. You can also choose a research topic which advances evidence-based healthcare. You will design and conduct the research under supervision. You will then submit a detailed report of the research you performed and submit as a dissertation, which will be followed by a viva about the project.

Aims - This module aims to review the prerequisite undergraduate material assumed for the further study of statistics in the taught postgraduate degree...

Aims - This module aims to review the prerequisite undergraduate material assumed for the further study of statistics in the taught postgraduate degree programmes offered by the Department of Statistical Science or jointly with other departments.

Objectives - On completion of the module, a student should have reviewed and completed exercises on basic probability theory, statistical estimation and hypothesis testing, practical statistics and associated computing.

Content - Introduction to probability, conditional probability, random variables and distributions, expectation, special distributions, Poisson processes, Markov chains and "birth-death" processes. Introduction to estimation, sampling distributions of estimators, testing hypotheses, categorical data, non-parametric methods, linear statistical models, Minitab computing package.

Key texts - Available from ReadingLists@UCL.