Maths, Stats & Numeracy Advice
Maths and Stats are essential tools for many degree programmes at the university, ranging from lab calculations in biology and budgeting in finance, to data analysis in the social sciences, to complex derivations in physics, engineering or economics. Whatever subject you are studying, we have a range of classes and resources available to make sure that you have all the skills you need to be successful.
Got a specific question? Come to a drop-in or book an appointment:
Live classes (Semester 1)
For Your Studies
Introduction to Statistics (for any UofG Student)
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 | Title | Description | Venue |
|---|---|---|---|
|
Wed 1st Oct |
Introduction to R - Part 1 | This first session introduces some of the basic functionality of R Studio. Bring your laptop with you to follow along! | Rankine Building: 107 LT |
| Wed 8th Oct 13:00 - 14:00 |
Introduction to R - Part 2 | In the second session of this series, we will become more comfortable with R Studio and use it to create impactful graphs and predictive models. | Rankine Building: 107 LT |
| Thu 9th Oct 11:00-12:00 | Introduction to R (online version) | Combined version of the first two sessions which will provide an introduction to R Studio. |
Meeting ID: 881 2509 4862 |
| Wed 15th Oct 13:00 - 14:00 |
Descriptive Statistics | The third session in this series looks at what information we can draw immediately from our data, while still painting a more complete picture than a simple average. We will cover measures of central tendencies, dispersion, and position. | Rankine Building: 107 LT |
|
Thu 16th Oct 11:00-12:00 |
Descriptive Statistics (online repeat) | Online repeat of the above session. |
Meeting ID: 881 2509 4862 |
| Wed 22nd Oct 13:00 - 14:00 |
Probabilty | To certainly give students a better chance of answering the question "how likely was that?", our fourth session covers the basic rules of probability, as well as both discrete and continuous probability distributions. | Rankine Building: 107 LT |
| Thu 23rd Oct 11:00-12:00 | Probabilty (online repeat) | Online repeat of the above session. |
Meeting ID: 881 2509 4862 |
| Wed 29th Oct 13:00 - 14:00 |
Hypothesis Testing | This fifth session will cover hypothesis testing, which is used to draw conclusions about a whole population from a sample of data, e.g. how can news outlets call an election with only a fraction of the votes tallied? We will discuss how to choose the null and alternative hypothesis, and which distributions to use. | Rankine Building: 107 LT |
| Thu 30th Oct 11:00-12:00 | Hypothesis Testing (online repeat) | Online repeat of the above session. |
Meeting ID: 881 2509 4862 |
| Wed 5th Nov 13:00 - 14:00 |
Simple and Multiple Linear Regression | This sixth session will discuss the relationship, or more precisely the correlation, between variables, and how to describe these relationships using simple and multiple linear regression. We will use R to generate a best fit line to pairwise ordered data, and then also generate a more complex linear model. | Rankine Building: 107 LT |
| Thu 6th Nov 11:00-12:00 | Simple and Multiple Linear Regression (online repeat) | Online repeat of the above session. |
Meeting ID: 881 2509 4862 |
| Wed 12th Nov 13:00 - 14:00 |
Logistic and Multinomial Regression | Does the amount of time a student spends studying increase the probability of passing their course, and if so, what’s my probability of passing if I spend x hours studying? This session will show how this can be answered using logistic regression, and how this can be implemented in R. | Rankine Building: 107 LT |
| Thu 13th Nov 11:00-12:00 | Logistic and Multinomial Regression (online repeat) | Online repeat of the above session. |
Meeting ID: 881 2509 4862 |
| Wed 19th Nov 13:00 - 14:00 |
Flexible Regression | Sometimes a linear model won’t be appropriate to model the data we have and we have to instead use a flexible yet smooth curve. The last of our sessions will show how to create a flexible regression model using the R package “mgcv”. | Rankine Building: 107 LT |
| Thu 20th Nov 11:00-12:00 | Flexible Regression (online repeat) | Online repeat of the above session. |
Meeting ID: 881 2509 4862 |
Maths Essentials (for any UofG student)
Aimed at Nat 5/GSCE level, this series covers the essential maths skills needed for students who are required to do basic calculations in their studies or future work. This particular course is led by the Maths Adviser.
> Moodle page for this series (includes slides and practice questions) - https://moodle.gla.ac.uk/course/view.php?id=46640
| Date & Time | Title | Description | Venue |
|---|---|---|---|
| Mon 29th Sep 10:00-11:00 |
Fractions, decimals and percentages |
This session covers fractions, percentages and decimals. |
Joseph Black Building: C407 |
| Mon 6th Oct 10:00-11:00 |
Rearranging Equations | This session covers basic algebraic manipulation of equations. | Joseph Black Building: C407 |
| Mon 13th Oct 10:00-11:00 |
Unit Conversions and Scientific Notation | This session covers unit conversions and scientific notation. | Joseph Black Building: C407 |
| Mon 20th Oct 10:00-11:00 |
Linear relationships | This session covers straight lines. | Joseph Black Building: C407 |
| Mon 27th Oct 10:00-11:00 |
Functions | This session covers what a function is and how to evaluate them. | Joseph Black Building: C407 |
| Mon 3rd Nov 10:00-11:00 |
Powers and Logarithms | This session covers powers and logarithms. | Joseph Black Building: C407 |
| Mon 10th Nov 10:00-11:00 |
Basic Probability | This session covers basic probability. | Joseph Black Building: C407 |
| Mon 17th Nov 10:00-11:00 |
Trigonometry | This session covers Pythagoras and SOHCAHTOA. | Joseph Black Building: C407 |
| Mon 24th Nov 10:00-11:00 |
Quadratics | This session covers parabolas. | Joseph Black Building: C407 |
Higher / A Level Maths Refreshers (for any UofG student)
This series covers the maths skills needed for any student who has Higher (or A Level) Maths as a prerequisite for their course. This particular course will be led by the Maths Adviser.
> Moodle page for this series (includes slides and any practice question) - https://moodle.gla.ac.uk/course/view.php?id=46897
| Date & Time | Title | Description | Venue |
|---|---|---|---|
| Wed 1st Oct 11:00-12:00 |
Graphs |
This session covers how to relate graphs to real world processes. |
Joseph Black Building: C407 |
| Wed 8th Oct 11:00-12:00 |
Algebra | This session covers algebraic manipulation, inequalities and simultaneous equations. | Joseph Black Building: C407 |
| Wed 15th Oct 11:00-12:00 |
Powers and Logarithms | This session covers powers and logarithms. | Joseph Black Building: C407 |
| Wed 22nd Oct 11:00-12:00 |
Straight Lines and Quadratics | This session covers straight line and quadratic equations. | Joseph Black Building: C407 |
| Wed 29th Oct 11:00-12:00 |
Functions | This session covers functions including composition and inverses. | Joseph Black Building: C407 |
| Wed 5th Nov 11:00-12:00 |
Differentiation | This session covers differentiation, including optimisation. | Joseph Black Building: C407 |
| Wed 12th Nov 11:00-12:00 |
Integration | This session covers the basics of integration. | Joseph Black Building: C407 |
| Wed 19th Nov 11:00-12:00 |
Trigonometry | This session covers trig graphs, identities and how to solve trig equations. | Joseph Black Building: C407 |
| Wed 26th Nov 11:00-12:00 |
Vectors | This session covers the basics of vectors including addition, scalar multiplication and the dot product. | Joseph Black Building: C407 |
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
| Date | Time | Venue | Description |
|---|---|---|---|
| Mon 29th Sep | 11:00-12:00 | Joseph Black Building C407 |
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. |
| Fri 3rd Oct | 12:00-13:00 | Zoom |
For employability
Numerical Reasoning Test Prep (for any UofG student)
Are you applying for jobs or internships? No matter what subject you currently study, basic numeracy skills are essential for a wide range of graduate destinations, and many employers will require you to demonstrate those skills during the recruitment process, for example via a numerical reasoning test. This series is designed to give you the essential skills required, as well as helpful hints and tips for how to prepare for the tests. This particular course will be led by the Maths Adviser.
> Moodle page for this series (includes slides and other resources) - https://moodle.gla.ac.uk/course/view.php?id=12831
| Date & Time | Title | Description | Venue |
|---|---|---|---|
| Mon 10th Nov 13:00 - 14:00 |
Make your applications count: Breaking down questions | These classes are for any student looking for advice on how to prepare for the numerical reasoning tests used during recruitment. | Joseph Black Building: C407 |
| Fri 14th Nov 11:00 - 12:00 |
Make your applications count: Tips for speed | St Andrews Building: 234 |
Drop-ins
These are not classes, but instead an opportunity to bring along any questions you have and one of our team will be happy to help you.
Stats Drop-Ins (for any UofG student)
> Moodle page for Stats advice - https://moodle.gla.ac.uk/course/view.php?id=42233
Every 2 weeks:
| Date | Time | Venue | Description |
|---|---|---|---|
| Fri 10th Oct | 10:00-11:00 | All in James McCune Smith Learning Hub: 429 |
Open to students with any statistics question (other than Honours level statistics courses). Come in for help with theory or issues with statistical software. No booking required. |
| Fri 24th Oct | 10:00-11:00 | ||
| Fri 7th Nov | 10:00-11:00 | ||
| Fri 21st Nov | 10:00-11:00 |
Maths Drop-Ins (for any UofG student)
> Moodle page for Maths advice - https://moodle.gla.ac.uk/course/view.php?id=140
More drop-ins will be added in the run up to the December exam diet.
| Date | Time | Venue | Description |
|---|---|---|---|
| Mon 29th Sept | 14:00-16:00 | All in Room 305 of the McMillan Round Reading Room |
Open to any student with any maths question (other than Honours level mathematics students) No booking required |
| Mon 6th Oct | 14:00-16:00 | ||
| Mon 13th Oct | 14:00-16:00 | ||
| Mon 20th Oct | 14:00-16:00 | ||
| Mon 27th Oct | 14:00-16:00 | ||
| Mon 3rd Nov | 14:00-16:00 | ||
| Mon 10th Nov | 14:00-16:00 | ||
| Mon 17th Nov | 14:00-16:00 | ||
| Mon 24th Nov | 14:00-16:00 |