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The research skills module will help you to prepare your ISM project (Sem 2) through informed thinking and reading and the preparation of an annotated bibliography and feasibility report at the end of Semester 1.

The research skills module will help you to prepare your ISM project (Sem 2) through informed thinking and reading and the preparation of an annotated bibliography and feasibility report at the end of Semester 1.

A range of skills are required for those wishing to work in the realm of remote sensing and spatial analysis. This module will help develop your skills base with regard to academic skills as well as those of particular value to further research and/or employment. The skills will be developed within the context of topics in remote sensing and spatial analysis.

This module builds on the academic and practical skills developed in GGES6021 but places greater emphasis on group project work. This will focus on a research proposal chosen by your group which employs geospatial technologies and analysis. Written work will be divided into (i) a Literature Review and (ii) a Research Grant Application. Projects will involve working effectively both as individuals and in a team. Groups will need to provide a pitch-style presentation delivered in a Pecha Kucha format to introduce and outline their idea for the research proposal. Formative feedback will be given for this presentation to help shape each group’s final research grant application.

This module will introduce you to key concepts underlying a broad range of biomedical research methodology. The module will focus on developing your understanding of what a research hypothesis is and what hypothesis testing is, how it is structured with aims and learning outcomes, how you construct a research hypothesis yourself and develop it into a research proposal. The module will also develop your understanding of various appropriate statistical methodologies including data distribution, confidence intervals, significance testing, data manipulation, parametric and non-parametric tests, sample size and power calculations, correlation and regression, ANOVA and multiplicity. During the module you will also study methods of organising data sets and consider how to present data and statistical findings appropriately. The course is taught through a combination of lectures and interactive sessions using computer workstations. Practical examples of datasets derived from research groups within the Faculty will be used to provide context to the theoretical aspects of the course. You will be taught how to use both SPSS and Graphpad PRISM for both statistical analysis and presentation of data. At the end of this module, you should understand how to analyse a variety of types of data, and to be able to evaluate the analysis of data in published research.

This module will introduce you to key concepts underlying a broad range of biomedical research methodology. The module will focus on developing your understanding of what a research hypothesis is and what hypothesis testing is, how it is structured with aims and learning outcomes, how you construct a research hypothesis yourself and develop it into a research proposal. The module will also develop your understanding of various appropriate statistical methodologies including data distribution, confidence intervals, significance testing, data manipulation, parametric and non-parametric tests, sample size and power calculations, correlation and regression, ANOVA and multiplicity. During the module you will also study methods of organising data sets and consider how to present data and statistical findings appropriately. The course is taught through a combination of lectures and interactive sessions using computer workstations. Practical examples of datasets derived from research groups within the Faculty will be used to provide context to the theoretical aspects of the course. You will be taught how to use both SPSS and Graphpad PRISM for both statistical analysis and presentation of data. At the end of this module, you should understand how to analyse a variety of types of data, and to be able to evaluate the analysis of data in published research.

This module will introduce you to key concepts underlying a broad range of biomedical research methodology. The module will focus on developing your understanding of what a research hypothesis is and what hypothesis testing is, how it is structured with aims and learning outcomes, how you construct a research hypothesis yourself and develop it into a research proposal. The module will also develop your understanding of various appropriate statistical methodologies including data distribution, confidence intervals, significance testing, data manipulation, parametric and non-parametric tests, sample size and power calculations, correlation and regression, ANOVA and multiplicity. During the module you will also study methods of organising data sets and consider how to present data and statistical findings appropriately. The course is taught through a combination of lectures and interactive sessions using computer workstations. Practical examples of datasets derived from research groups within the Faculty will be used to provide context to the theoretical aspects of the course. You will be taught how to use both SPSS and Graphpad PRISM for both statistical analysis and presentation of data. At the end of this module, you should understand how to analyse a variety of types of data, and to be able to evaluate the analysis of data in published research.

This module will build on key components of Research Skills in Biomedical Sciences 1 (MEDI6049) where students learn to develop a research hypothesis and project in addition to statistical methodology.
This module will enable students to gain understanding and develop the skills required to design and write up a research proposal for their three year PhD project proposal. You will construct a research hypothesis for your PhD project and develop this into a research proposal including a background section, statement of the problem, research hypothesis with aims and objectives, what types of data will be collected,organising data sets and consider how to analyse these, present the data and statistical findings appropriately and what research impact these findings might have
The course is taught through a combination of initial lectures with interactive sessions and presentations based on your first rotation project, prospective meetings with your PhD project supervisor to discuss the development of your proposal and mainly independent study. At the end of this module, you should understand how to analyse a variety of types of data, and to be able to evaluate the analysis of data in published research.

This module will build on key components of Research Skills in Biomedical Sciences 1 (MEDI6049) where students learn to develop a research hypothesis and project in addition to statistical methodology.
This module will enable students to gain understanding and develop the skills required to design and write up a research proposal for their three year PhD project proposal. You will construct a research hypothesis for your PhD project and develop this into a research proposal including a background section, statement of the problem, research hypothesis with aims and objectives, what types of data will be collected,organising data sets and consider how to analyse these, present the data and statistical findings appropriately and what research impact these findings might have
The course is taught through a combination of initial lectures with interactive sessions and presentations based on your first rotation project, prospective meetings with your PhD project supervisor to discuss the development of your proposal and mainly independent study. At the end of this module, you should understand how to analyse a variety of types of data, and to be able to evaluate the analysis of data in published research.

This module will build on key components of Research Skills in Biomedical Sciences 1 (MEDI6049) where students learn to develop a research hypothesis and project in addition to statistical methodology.
This module will enable students to gain understanding and develop the skills required to design and write up a research proposal for their three year PhD project proposal. You will construct a research hypothesis for your PhD project and develop this into a research proposal including a background section, statement of the problem, research hypothesis with aims and objectives, what types of data will be collected,organising data sets and consider how to analyse these, present the data and statistical findings appropriately and what research impact these findings might have
The course is taught through a combination of initial lectures with interactive sessions and presentations based on your first rotation project, prospective meetings with your PhD project supervisor to discuss the development of your proposal and mainly independent study. At the end of this module, you should understand how to analyse a variety of types of data, and to be able to evaluate the analysis of data in published research.

This module prepares you for your own research work. The module will examine the process of writing a structured essay on a topic related to the dissertation project, formulating a research proposal, identifying the problems this may pose and the benefits it may bring. It will also give you practice in conducting bibliographical searches and analyses. The module will further familiarise you with the facilities offered by the library and with internet resources. Through the seminars, the module will give you an opportunity to articulate, discuss and evaluate your developing thoughts on possible dissertation themes.