Graduate School of Life Sciences course timetable

Do you need to know how to use basic techniques in multivariate statistics? Do you already know quite a lot, but want to know more?

A series starting with three sessions in traditional multivariate analysis and progressing to four sessions in advanced techniques.

Do you need to know how to use basic techniques in multivariate statistics? Do you already know quite a lot, but want to know more?

A series starting with three sessions in traditional multivariate analysis and progressing to four sessions in advanced techniques.

This course is aimed primarily at Plant Scientists but is open to students from all departments and the general principles are useful across the biological sciences. Using many examples, both good and bad, the emphasis is on preparing a dissertation that can easily be converted into papers for publication in high quality journals.

Do you need to know how to use basic techniques in multivariate statistics? Do you already know quite a lot, but want to know more?

A series starting with three sessions in traditional multivariate analysis and progressing to four sessions in advanced techniques.

Do you need to know how to use basic techniques in multivariate statistics? Do you already know quite a lot, but want to know more?

A series starting with three sessions in traditional multivariate analysis and progressing to four sessions in advanced techniques.

How to succeed in your PhD! A one day course which prepares final year PhD students for finishing the writing up, surviving the viva and moving on into postdoc or other employment. All research students in the Graduate School of Life Sciences are expected to attend this highly-recommended course at some point in their final year.

Do you need to know how to use basic techniques in multivariate statistics? Do you already know quite a lot, but want to know more?

A series starting with three sessions in traditional multivariate analysis and progressing to four sessions in advanced techniques.

Do you need to know how to use basic techniques in multivariate statistics? Do you already know quite a lot, but want to know more?

A series starting with three sessions in traditional multivariate analysis and progressing to four sessions in advanced techniques.

Do you need to know how to use basic techniques in multivariate statistics? Do you already know quite a lot, but want to know more?

A series starting with three sessions in traditional multivariate analysis and progressing to four sessions in advanced techniques.

This workshop provides the mental tools to address research questions, critically analyse papers and in general to see the world differently.

This is a workshop about reflective thinking: how to ask the right questions and evaluate the possible answers. We all engage in discussions where we aim to provide our opinions about the world and what happens in it. In this process we engage in communicating our beliefs and try to justify them with an apparent layer of reasoning. However, we do not always pay attention if we are doing it well. Very often we end up contradicting ourselves or producing weak arguments just to be defeated by our interlocutor.

During the course there will be a considerable amount of practical work where the students are invited to propose solutions to common dilemmas, critically analyse each other's arguments and opinions. Although the course does not have a particular focus on scientific writing, we will tackle some aspects related to text structure and style.

This workshop provides the mental tools to address research questions, critically analyse papers and in general to see the world differently.

This is a workshop about reflective thinking: how to ask the right questions and evaluate the possible answers. We all engage in discussions where we aim to provide our opinions about the world and what happens in it. In this process we engage in communicating our beliefs and try to justify them with an apparent layer of reasoning. However, we do not always pay attention if we are doing it well. Very often we end up contradicting ourselves or producing weak arguments just to be defeated by our interlocutor.

During the course there will be a considerable amount of practical work where the students are invited to propose solutions to common dilemmas, critically analyse each other's arguments and opinions. Although the course does not have a particular focus on scientific writing, we will tackle some aspects related to text structure and style.

This course aims to familiarise those who have not been to a scientific meeting with the notion of using posters to convey scientific information. We will consider poster design, showing the most effective way to present information, and ways to increase the impact of your poster.

Although we consider different software packages, the course is not about the details of how to use Powerpoint or other graphics packages.

A crash course in what you need to know about scientific writing. This lecture is aimed at those writing scientific papers, but many of the principles apply equally to writing a doctoral dissertation. The examples given are mostly in the area of Biochemistry research, but applicable to many others.

This course introduces researchers to a multidisciplinary approach to microarray data analysis. Particular attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis.

The course covers not only two-colour platforms but also the popular Illumina and Affymetrix single-channel technologies.

All aspects of the course are aimed at non-statisticians, suitable for beginners in microarrays as well as those who have already been working in genomics. The course may also be useful to computational biologists new to microarray analysis.

This course introduces researchers to a multidisciplinary approach to microarray data analysis. Particular attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis.

The course covers not only two-colour platforms but also the popular Illumina and Affymetrix single-channel technologies.

All aspects of the course are aimed at non-statisticians, suitable for beginners in microarrays as well as those who have already been working in genomics. The course may also be useful to computational biologists new to microarray analysis.

This course introduces researchers to a multidisciplinary approach to microarray data analysis. Particular attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis.

The course covers not only two-colour platforms but also the popular Illumina and Affymetrix single-channel technologies.

All aspects of the course are aimed at non-statisticians, suitable for beginners in microarrays as well as those who have already been working in genomics. The course may also be useful to computational biologists new to microarray analysis.

This course takes students from having no knowledge of how to program, to being able to write useful applications. Students will come away with an application framework that they can easily adapt and extend to suit their own particular needs. Each course topic is introduced and placed in context, and then complete example code is provided to illustrate the subject under discussion, which is gone through line by line and then implemented by the students. For more advanced students related challenges are provided without solutions, although training staff are happy to provide help and guidance. Throughout the course, the emphasis is on making sure that each student understands and appreciates what is going on, and therefore the course handbook provides plenty of room for the students’ own notes, while the provision of comprehensive answers to class questions is a top priority.