Course search

1 - 10 of 17 courses where 1 match all words and 16 match some words.

  1. Assessing reflective writing

    Audience: Academic staff, Research staff, Research supervisors

    Date: Thursday 26 March 2026

    Times: 14.00 to 16.00

    Programme: Academic Staff Development Programme

    Key details: An introduction to Gibbs' reflective cycle model of reflective writing, with small group work and discussion on how to assess and provide feedback on reflective writing.

  1. Introduction to Statistics - Part 1

    Audience: Academic staff, PG research, Professional staff, Research staff, Research supervisors

    Date: Wednesday 10 September 2025 to Tuesday 30 June 2026

    Times: 11.58

    Key details: Introduction to Statistics Part 1 and 2: Course description Introduction to Statistics is a course for University of St Andrews research degree students (see eligibility advice below) and staff. The aim of this course is to introduce basic statistical co

  1. Statistical Modelling using Generalised Linear Models (GLMs) - Part 1

    Audience: Academic staff, PG research, Research staff

    Date: Wednesday 10 September 2025 to Tuesday 30 June 2026

    Times: 13.50

    Key details: Statistical modelling using generalised linear models (GLMs) is a free course for University of St Andrews research degree students (see eligibility advice below) and staff. The course covers extensions to linear models and generalised linear models; thes

  1. Scientific and Statistical Thinking

    Audience: Academic staff, PG research

    Date: Thursday 11 September 2025 to Tuesday 30 June 2026

    Times: 11.49

    Key details: This is an introductory course on statistical and scientific thinking - but not in the way you may have considered it before. The focus will be on how to think about statistical issues in science and in society more generally. There won’t be any statistic

  1. Introduction to Statistics for the Humanities and Digital Humanities Part 1

    Audience: Academic staff, PG research, Research staff

    Date: Friday 12 September 2025 to Tuesday 30 June 2026

    Times: 11.54

    Key details: Introduction to Statistics for the Humanities and Digital Humanities is a new course designed specifically for University of St Andrews research degree students (see eligibility advice below) and staff working in the humanities.

  1. EndNote: an introduction

    Audience: PG research, PG taught, UG

    Date: Monday 16 February 2026

    Times: 15.00 to 16.30

    Key details: Online class via Microsoft Teams. Introductory class for students new to EndNote. EndNote can be used on a PC or Mac to store the references that you have used and insert them into your work in the correct style.

  1. Fundamentals of editing

    Audience: PG taught

    Date: Wednesday 18 February 2026

    Times: 14.00 to 15.30

    Programme: MSkills

    Key details: Want to improve your editing skills? This interactive workshop will give you the tools to feel more confident in editing to enhance your research and writing.

  1. Transform your coursework into artwork

    Audience: PG research, PG taught, UG

    Date: Thursday 19 February 2026

    Times: 17.15 to 18.45

    Programme: Saints Professional Development

  1. Writing conference abstracts, proposals and bios

    Audience: PG research

    Date: Wednesday 25 February 2026

    Times: 14.00 to 15.30

    Programme: GRADskills

    Key details: In this workshop, we will look at techniques to help you navigate how to write conference Abstracts and Proposals. We will reflect on their purpose while analysing examples to better understand the characteristics of successful Abstracts and Proposals.

  1. Developing your entrepreneurial mindset (For PhD Students)

    Audience: PG research, PG taught

    Date: Tuesday 3 March 2026

    Times: 10.00 to 11.30

    Programme: MSkills

    Key details: PLEASE NOTE: If you are no longer able to attend, please cancel your place at least two working days before so that we can allow others onto the course. This workshop will be held in-person.