Academic Advice in MVLS
Undergraduate and postgraduate taught students in MVLS can attend short classes, access slides and guides on Moodle, or make an appointment with the Effective Learning Adviser for the College (or one of her Graduate Teaching Assistants) to talk about anything related to their academic work.
Common topics include:
- academic writing (essays, lab reports, research proposals)
- critical analysis
- scientific presentations
- time and project management
- effective, evidence-based study and revision methods
Class Timetables
Live Classes (Semester 2)
Science Dissertation Writing
This course is designed for science students undertaking their dissertation, but feel free to use it if you are earlier in your degree as well. It covers what to expect from your dissertation and how to produce a high quality research report.
This particular course is led jointly by the Effective Learning Advisers for MVLS and for Science & Engineering, with sessions on using LaTeX from the Maths Adviser.
> Science Dissertation Writing
| Date | Time | Class title | Class description | Venue |
| Mon 26 Jan | 10:00-12:00 | Introduction to Writing with LaTeX | LaTeX is a popular typesetting system used by people all over the world who need to include mathematical formulae or diagrams in their writing. This interactive session will demonstrate the basics before then giving you a chance to make your own documents and ask any questions you have. | St Andrew's Building: 337 |
| Tue 27 Jan | 15:00-16:00 | Your Dissertation: Beginning to End | This class examines what the whole dissertation process looks like, from choosing a title to handing in your finished product. | Rankine: 108 LT |
| Fri 30 Jan | 14:00-16:00 | Introduction to Writing with LaTeX (online repeat) | LaTeX is a popular typesetting system used by people all over the world who need to include mathematical formulae or diagrams in their writing. This interactive session will demonstrate the basics before then giving you a chance to make your own documents and ask any questions you have. | https://uofglasgow.zoom.us/j/89648856622 |
| Tue 3 Feb | 15:00-16:00 | Writing a Literature Review | This class will explore the process of finding and critically analysing journal articles, as well as how to incorporate academic literature into your writing. | Rankine: 108 LT |
| Tue 10 Feb | 15:00-16:00 | Developing a Methodology | We outline things to consider when designing your research methods and discuss how to write your methods chapter. | Rankine: 108 LT |
| Tue 17 Feb | 15:00-16:00 | Presenting your Findings | This class looks at the most effective way of discussing your data and writing about your results in the context of your field. | Rankine: 108 LT |
| Tue 24 Feb | 15:00-16:00 | Editing and Proofreading | The class looks at the stages of editing and proofreading that you need to complete in order to achieve a polished and professional dissertation. | Rankine: 108 LT |
Introduction to Statistics (Using R Studio) (for any UofG Student) (In-person)
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.
> Moodle page for this series (includes slides) - https://moodle.gla.ac.uk/course/view.php?id=19841
| Date | Time | Class title | Class Description | Venue |
| 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 |
| 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) | |
| 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. | |
| Wed 11 Feb | 13:00-14:00 | Probability | This session covers the basic rules of probability, along with some examples of discrete probability distributions. | |
| Wed 18 Feb | 13:00-14:00 | Hypothesis Testing | This session covers hypothesis testing, along with some continuous probability distributions used for hypothesis testing. | |
| 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. | |
| Wed 11 Mar | 13:00-14:00 | Logistic Regression | This session covers logistic regression, along with graphical tools to describe said regression. | |
| Wed 18 Mar | 13:00-14:00 | Flexible Regression | This session covers flexible regression, along with graphical tools to describe said regression. |
Introduction to Statistics (Using R Studio) (for any UofG Student) (Online)
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.
> Moodle page for this series (includes slides) - https://moodle.gla.ac.uk/course/view.php?id=19841
| Date | Time | Class title | Class Description | Venue |
| Thu 22 Jan | 10:00-11:00 | 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) | Zoom Link (via Moodle) |
| Thu 29 Jan | 10:00-11:00 | 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) | |
| Thu 5 Feb | 10:00-11:00 | Descriptive Statistics | This session covers basic statistical terminology, along with measures of central tendency, variation, and position of a data set. | |
| Thu 12 Feb | 10:00-11:00 | Probability | This session covers the basic rules of probability, along with some examples of discrete probability distributions. | |
| Thu 19 Feb | 10:00-11:00 | Hypothesis Testing | This session covers hypothesis testing, along with some continuous probability distributions used for hypothesis testing. | |
| Thu 5 Mar | 10:00-11:00 | Simple and Multiple Linear Regression | This session covers simple and multiple linear regression, along with graphical tools to describe said regression. | |
| Thu 12 Mar | 10:00-11:00 | Logistic Regression | This session covers logistic regression, along with graphical tools to describe said regression. | |
| Thu 19 Mar | 10:00-11:00 | Flexible Regression | This session covers flexible regression, along with graphical tools to describe said regression. |
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 - https://moodle.gla.ac.uk/course/view.php?id=140
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.
Principles of Scientific Writing
This course provides useful guidance on the core skills science students need in order to write effectively. Key topics include: referencing and plagiarism, critical reading, creating an argument, and effective use of figures.
Exams and Academic Development (CoSE & MVLS)
> Moodle page for this series - https://moodle.gla.ac.uk/course/view.php?id=10317
This is an asynchronous resource which you can access anytime.
| Title | 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. |
Assessments at UofG (CoSE & MVLS)
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).
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) - https://moodle.gla.ac.uk/course/view.php?id=140
This series took place last semester, but the materials for the following classes are available at the Moodle link above.
| Description |
|---|
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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. |
Appointments
Undergraduate and PGT students can make an appointment with one of the advising team (GUID required). The booking diary shows appointments available in the next 21 days only.
Dr Rosalind McKenna
Rosalind has a PhD in Biology from the University of St Andrews, during which she used the ladybird-aphid predator-prey system to study behavioural interactions and search strategies. During her postgraduate study (2018-2022), she taught extensively in labs and tutorials, delivered lectures, and designed teaching materials. In 2019, Rosalind also designed and co-presented a course on data visualisation, delivered to secondary school science teachers for the Scottish Schools Education Research Centre (SSERC). From April 2022 to June 2023, Rosalind gained experience in the University of Glasgow Undergraduate Medical School in her role as the MBChB1 Teaching Administrator. She is now the Effective Learning Adviser for students in the College of MVLS.
Teaching Requests
Rosalind currently lectures on every undergraduate degree and most postgraduate degrees across MVLS. To find out what teaching she can offer on your course, email her: rosalind.mckenna@glasgow.ac.uk
Publications
Rosalind is the co-author of Presenting Scientific Data in R (Oxford University Press). This book, primarily written for students embarking on undergraduate bioscience degrees, aims to provide an accessible, straightforward, and approachable guide to data presentation using R.
Rosalind has also published a range of research and review papers on a variety of behavioural ecology topics.
rosalind.mckenna@glasgow.ac.uk
Room 316
McMillan Reading Room
University Avenue
University of Glasgow
G12 8QQ
