The aim of the module is to offer students an experience of the many facets of orthopaedic assessment and treatments in hospital. Students can expect to...

Clinical Experience in Musculoskeletal Surgery (SURG0016)

The aim of the module is to offer students an experience of the many facets of orthopaedic assessment and treatments in hospital. Students can expect to experience; trauma meetings, lectures, outpatient clinics, operating theatres, orthopaedic wards, the physiotherapy department and plaster room.  This module will be delivered in the Royal Free Hospital.

RESEARCH METHODOLOGY|BASIC STATISTICS|HYPOTHESIS TESTING|RESEARCH INTEGRITY|SCIENTIFIC WRITING|

This module will provide you with knowledge and understanding of research study design and the skills that you will need to gather and analyse information. In...

Research Methodologies and Transferable Skills (SURG0002)

This module will provide you with knowledge and understanding of research study design and the skills that you will need to gather and analyse information. In this module, you will learn what research means, how to develop a good research question, the advantages and disadvantages of different study designs, broad steps in conducting studies of different (study) designs, and reporting the studies. In addition, you will also learn principles of data analysis, perform common types of analysis, and report findings to an audience. This module will introduce you and direct you to the resources required to design and analyse your research project.

Aims - This module aims to provide an introduction to statistical methods and interpretation of data, along with associated computing, and to provide some...

Introductory Statistical Methods and Computing (STAT0021)

Aims - This module aims to provide an introduction to statistical methods and interpretation of data, along with associated computing, and to provide some expertise in applying quantitative methods in the Life and Physical Sciences. The statistical methods covered are useful in the routine analysis of scientific methods, as might be encountered in other modules. It is intended for students registered on undergraduate degree programmes outside of the Department of Statistical Science.

Objectives - On successful completion of the module a student should have an understanding of basic methods of descriptive statistics, confidence intervals and significance tests, which they could apply to simple standard situations in their own field of study.

Content - Descriptive statistics and graphical methods. Introduction to probability theory. Use of normal, binomial and Poisson distributions. Confidence intervals and significance tests applied to one and two sample problems by parametric and non-parametric methods. Goodness-of-fit and contingency tables. Correlation and regression. Use of computer software for statistical purposes.

Key texts - Available from ReadingLists@UCL.