Exams, Assessments and Study Advice
Finding the right balance of activities can be hard - whether that's working out how to balance your studies and a part-time job, or how to split your study time across your different courses. We have a range of classes and resources here that will help you make the most of your study time, get all the general skills you need for your courses, and help you go into your exams and assessments feeling confident and well-prepared.
While some of our classes are tailored for different cohorts, all classes are open to everyone so feel to attend any that look of interest to you.
Looking for some specific advice? Make an appointment with one of our advisers:
Live Classes (Semester 2)
Exam Preparation
University: The Unwritten Guide
Open to all students, these sessions focus on the key knowledge and skills you’ll need as a student but aren’t always taught explicitly! Come along for practical tools, advice and strategies from the 'unwritten guide' to university. There are in-person and online options available.
This particular course will be led by the team of Induction & Transitions Advisers
> Moodle page for this series (includes slides and any recordings)
| Date | Time | Class Title | Class Description | Venue |
| Mon 16 Mar | 11:00-12:00 | Exam Revision Strategies (in-person) | This session introduces revision strategies that actually work and explains how to organise your study time. You’ll leave with a clear sense of how to prepare effectively for exams. | Gilbert Scott 226 East Quad LT |
| Thu 19 Mar | 12:00-13:00 | Dealing with Exam Stress (in-person) | This session offers practical guidance and techniques for managing stress and supporting your wellbeing throughout the exam period. | JMS 734 |
| Mon 23 Mar | 11:00-12:00 | Exam Revision Strategies (online) | This session introduces revision strategies that actually work and explains how to organise your study time. You’ll leave with a clear sense of how to prepare effectively for exams. | Zoom link |
| Thu 26 Mar | 12:00-13:00 | Dealing with Exam Stress (online) | This session offers practical guidance and techniques for managing stress and supporting your wellbeing throughout the exam period. | Zoom link |
Exams and Academic Development (for CoSE & MVLS students)
This course includes one live class:
| Tue 24 Mar | 15:00-16:00 | Exam Revision Strategies | This class will offer advice on: how to put together a revision plan, how to revise effectively, and how to approach an exam. | Rankine: 108 LT |
But there are lots of asynchronous resources on the Moodle which you can access anytime:
| Class Title | Class Description |
| Lectures, labs, and tutorials | We discuss how to approach your classes in a strategic way so that you get the most out this valuable time with your lecturers. |
| Working in groups | Group work is an integral part of many degree courses. This class will show you how to get the most out of assessed and informal group work. |
| Exam revision strategies | We will show you the best revision strategies, and how to combine them to the best effect in the weeks before an exam. |
| Avoiding procrastination | Procrastination is normal! But this class will help if you feel that it is getting in the way of your studies. |
Peer Learning Exam Practice Workshops
Open to all students, these workshops allow you to practice working under exam conditions. Just bring along a previous exam to work on.
| Date | Time | Venue |
| Mon 20 Apr | 10:00-12:00 | McMillan Round Reading Room: 305 |
| Fri 24 Apr | 10:00-12:00 | McMillan Round Reading Room: 305 |
| Mon 27 Apr | 14:00-16:00 | McMillan Round Reading Room: 305 |
| Fri 1 May | 14:00-16:00 | McMillan Round Reading Room: 305 |
Other Lectures & Workshops
Introduction to Statistics (Using R Studio)
This series is for any student who will be working with data as part of their assignments, project, or dissertation. It will cover some fundamental concepts in statistics as well as how to use R Studio, a widely used statistical environment, to perform and present analyses. This particular course will be led by the Statistics Adviser. Both online and in-person options are available.
> Moodle page for this series (includes slides and any recordings)
| Date | Time | Class Title | Class Description | Venue or Zoom Link |
| Wed 21 Jan | 13:00-14:00 | Introduction to R Studio (Part 1) | This session introduces students to R Studio, a powerful statistical environment used by many to conduct simple and more complex statistical analysis,as well as produce meaningful and impactful graphs.(Part 1) | 42 Bute Gardens:915 |
| Thu 22 Jan | 10:00-11:00 | Introduction to R Studio (Part 1) | Online repeat | Zoom link |
| Wed 28 Jan | 13:00-14:00 | Introduction to R Studio (Part 2) | This session introduces students to R Studio, a powerful statistical environment used by many to conduct simple and more complex statistical analysis,as well as produce meaningful and impactful graphs.(Part 2) | 42 Bute Gardens:915 |
| Thu 29 Jan | 10:00-11:00 | Introduction to R Studio (Part 2) | Online repeat | Zoom link |
| Wed 4 Feb | 13:00-14:00 | Descriptive Statistics | This session covers basic statistical terminology, along with measures of central tendency, variation, and position of a data set. | 42 Bute Gardens:915 |
| Thu 5 Feb | 10:00-11:00 | Descriptive Statistics | Online repeat | Zoom link |
| Wed 11 Feb | 13:00-14:00 | Probability | This session covers the basic rules of probability, along with some examples of discrete probability distributions. | 42 Bute Gardens:915 |
| Thu 12 Feb | 10:00-11:00 | Probability | Online repeat | Zoom link |
| Wed 18 Feb | 13:00-14:00 | Hypothesis Testing | This session covers hypothesis testing, along with some continuous probability distributions used for hypothesis testing. | 42 Bute Gardens:915 |
| Thu 19 Feb | 10:00-11:00 | Hypothesis Testing | Online repeat | Zoom link |
| Wed 4 Mar | 13:00-14:00 | Simple and Multiple Linear Regression | This session covers simple and multiple linear regression, along with graphical tools to describe said regression. | 42 Bute Gardens:915 |
| Thu 5 Mar | 10:00-11:00 | Simple and Multiple Linear Regression | Online repeat | Zoom link |
| Wed 11 Mar | 13:00-14:00 | Logistic Regression | This session covers logistic regression, along with graphical tools to describe said regression. | 42 Bute Gardens:915 |
| Thu 12 Mar | 10:00-11:00 | Logistic Regression | Online repeat | Zoom link |
| Wed 18 Mar | 13:00-14:00 | Flexible Regression | This session covers flexible regression, along with graphical tools to describe said regression. | 42 Bute Gardens:915 |
| Thu 19 Mar | 10:00-11:00 | Flexible Regression | Online repeat | Zoom link |
Drop-ins
Stats Drop-Ins (for any UofG student)
Open to any student (other than those from honours level statistics courses) who needs help with statistics and/or help with R Studio.
> Moodle page for Stats advice
| Date | Time | Venue |
| Fri 23 Jan | 10:00-11:00 | James McCune Smith: 429 |
| Fri 30 Jan | 10:00-11:00 | James McCune Smith: 429 |
| Fri 6 Feb | 10:00-11:00 | James McCune Smith: 429 |
| Fri 13 Feb | 10:00-11:00 | James McCune Smith: 429 |
| Fri 20 Feb | 10:00-11:00 | James McCune Smith: 429 |
| Fri 27 Feb | 10:00-11:00 | James McCune Smith: 429 |
| Fri 6 Mar | 10:00-11:00 | James McCune Smith: 429 |
| Fri 20 Mar | 10:00-11:00 | James McCune Smith: 429 |
| Fri 27 Mar | 10:00-11:00 | James McCune Smith: 429 |
Maths Drop-Ins (for any UofG student)
Open to any student with any maths question (other than Honours level mathematics courses).
Just turn up with the problem you’re working on and your relevant course notes.
> Moodle page for Maths advice
Peer Academic Writing Drop-in
For first- and second-year undergraduates only. Bring a piece of in-progress writing for feedback from a trained peer tutor.
| Date | Time | Venue |
| Wed 18 Feb | 15:00-17:00 | McMillan Round Reading Room: 305 |
| Wed 11 Mar | 9:30-11:30 | McMillan Round Reading Room: 305 |
| Thu 12 Mar | 15:00-17:00 | McMillan Round Reading Room: 305 |
| Wed 18 Mar | 15:00-17:00 | McMillan Round Reading Room: 305 |
Pre-recorded Classes and Online Materials
These classes offer a mix of online materials and resources you can work through at your own pace. Some are classes held in the previous semester. All contain useful resources, sometimes including recordings of past live classes. Check back regularly for updates.
For all students
Good Academic Practice
This course focuses on Academic Integrity, helping you to understand the University of Glasgow's policies on plagiarism; advice on use of GenAI; and introduces referencing techniques to support your becoming ethical and rigourous researchers and writers.
Making the Most of Lectures
This is an interactive course that has been designed to help you use lectures and lecture recordings to enhance your remote and/ or on-campus learning. Drawing on evidence-based techniques, this non-credit course will introduce you to some of the ways in which you can integrate lectures and lecture recordings (if available) into your studying.
Time and Project Management
This course provides you with the fundamental principles of good time and project management. The course is designed to take you through the key elements of working with multiple deadlines, competing priorities, and different workloads.
Tailored for specific colleges/cohorts
Assessments at UofG (for CoSE & MVLS students)
This course provides an introduction to the purpose, structure, and expectations of various different assessment formats. You can find useful and practical advice on a range of assessment types, including some that centre around academic writing skills (e.g. essays, lab reports, reviews) and some that focus on scientific communication skills (presentations, posters, blogs, podcasts).
Exams and Academic Development (for CoSE & MVLS students)
This course includes one live class:
| Tue 24 Mar | 15:00-16:00 | Exam Revision Strategies | This class will offer advice on: how to put together a revision plan, how to revise effectively, and how to approach an exam. | Rankine: 108 LT |
But there are lots of asynchronous resources on the Moodle which you can access anytime:
| Class Title | Class Description |
| Lectures, labs, and tutorials | We discuss how to approach your classes in a strategic way so that you get the most out this valuable time with your lecturers. |
| Working in groups | Group work is an integral part of many degree courses. This class will show you how to get the most out of assessed and informal group work. |
| Exam revision strategies | We will show you the best revision strategies, and how to combine them to the best effect in the weeks before an exam. |
| Avoiding procrastination | Procrastination is normal! But this class will help if you feel that it is getting in the way of your studies. |
Lab Calculation Refresher Sessions (for MVLS students)
These sessions cover the common calculations needed for lab experiments, such as how to dilute a stock solution to the correct concentration. And don't hesitate to get in touch with the Maths Adviser if you have questions.
> Moodle page for this series (see the life sciences section)
This series took place last semester, but the materials for the following classes are available at the Moodle link above.
| Description |
|---|
|
These sessions cover the common calculations needed for lab experiments, such as how to dilute a stock solution to the correct concentration. The two sessions are the same content. |
Starting your Academic Citizenship (for International Students)
This particular course is led by the team of Effective Learning Advisers for International Students. It runs in Semster 1, and every session is run twice - once in-person and once online.
> Moodle page for this series (includes slides and any recordings)
This series took place last semester, but the materials for the following classes are available at the Moodle link above.
| Class Title | Class Description |
| Transitioning to Academic Study @UofG | How to successfully transition to new academic institutions by better understanding expectations and some strategies for effectively managing change. |
| Becoming an Academic Reader | Strategies for effective academic reading to enhance learning, including how to select reading, manage reading time and read evaluatively. |
| Academic Integrity, Avoiding Plagiarism, and Artificial Intelligence | Explains the definitions of plagiarism at the University of Glasgow and how to avoid plagiarism in academic work as well as looking at some do's and don'ts for AI in academic work. |
| Understanding and Preparing for Assignments | How to effectively understand and fulfill assigment requirements. |
| Introduction to Being Critical | What does it mean to be critical and analytical in academic work and how to achieve this. |
| Academic Discourse | Explains academic discourse and discusses how to identify the ways your academic community communicates. |