NEW this year, this intensive one-day GRADskills workshop for research students/staff explores advanced techniques and processes for analysing and interpreting spatial data in QGIS, including 3D visualisation and process automation. The course is most suited to delegates who already have a good working understanding of QGIS. Please note you must bring your own laptop and mouse with the latest ‘Long Term Release’ of QGIS installed.  Lunch is provided.

The workshop will cover the following topics:

• Visualising spatial data
• Raster analysis
• 3D visualisation
• Processing & Automation
• Reporting
• Plug-ins

Request a place: https://www.st-andrews.ac.uk/pdms/index.php?CourseID=8919

NEW this year, this GRADskills workshop for research staff/students is designed specifically for researchers who are interested in developing their literature analysis skills. With over 30,000 journals and nearly three million academic papers being published each year it can be challenging for researchers to read and assess all of the relevant literature; there are now tools to annotate papers as you read which can save you time and allow you to share your notes with others. The workshop will also cover how to get the most out of journal club sessions: understanding the aims, what your supervisor expects, tackling interdisciplinary papers and how to ask pertinent questions that stimulate discussion. We will cover the key aspects to critiquing a paper, how to extract the main points and techniques to optimise your time.

Request a place: https://www.st-andrews.ac.uk/pdms/index.php?CourseID=9042

Do you currently/intend to write code, develop or maintain programs, scripts or other code as part of your research? If so, this two-day CAPOD workshop for research postgraduates and staff is for you!

Dedicated to teaching basic computing software development skills to researchers, this workshop run by Software Carpentry is aimed at researchers who want to develop the computing skills they need to streamline their workflow, organise their data and get more done in less time, and with less pain!

Outline
Day 1 morning:      Automating tasks with Unix shell
Day 1 afternoon:    Building programs with Python
Day 2 morning:      Version control with Git
Day 2 afternoon:    Building programs with Python

Request a place: https://www.st-andrews.ac.uk/pdms/index.php?CourseID=9006

This two-day GRADskills workshop (lunch is provided) aims to provide familiarity and confidence with the statistical analysis of several or many variables simultaneously. There is a strong emphasis on the use of graphs to present results.  You must be familiar with basic statistics, regression, and analysis of variance and have at least basic familiarity with R. Topics will include:

• How to think about the data and how to organise the data in a file before analysis.
• Graphical methods to explore multivariate data.
• Principal components.
• Discriminant analysis.
• Correspondence analysis.
• Factor analysis.
• Relationships among samples.
• Ordination.
• Cluster analysis.
• Partial least squares and principal component regression.
• Classification and regression trees.

You must sign-up for both days:

• Day 1, 3rd December
• Day 2, 4th December

What previous participants have said about this course:

• “This course is a must for all research postgrads; I can’t imagine anyone wouldn’t be running at least one of the tests covered.”
• “The structure and material covered in the workshop was fantastic. Even though the material is hard to grasp if you have never seen it, the instructor explains it so well.”
• “It covers multiple topics and goes deep enough to give a perfect overview.”

For the attention of all members of staff:

Please note that the existing arrangements regarding the delivery and collection of Personal Mail will continue to apply over the Black Friday sales period and the lead into the Christmas holidays.

The Mailroom handles an increasing volume of mail at this time of year and staff are reminded that the internal mail system provided is for University business and not for personal convenience.

The Mailroom team will endeavour to accommodate the collection of items, however the 48-hour collection or Return to Sender policy will be strictly adhered to as we do not provide storage facilities.

Staff are urged to use the readily available Amazon lockers within the University for the collection of items and this is easily achieved by using the delivery drop down menu when ordering items.

Regards,

Dave Hamilton

Mailroom Supervisor