Class timetables

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.

Live classes (Semester 2)

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

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)

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

Date Time Venue
Mon 19 Jan 14:00-16:00 McMillan Round Reading Room: 305
Tue 20 Jan 15:00-17:00 McMillan Round Reading Room: 305
Thu 22 Jan 10:00-12:00 McMillan Round Reading Room: 305
Mon 26 Jan 14:00-16:00 McMillan Round Reading Room: 305
Tue 27 Jan 15:00-17:00 McMillan Round Reading Room: 305
Thu 29 Jan 10:00-12:00 McMillan Round Reading Room: 305
Mon 2 Feb 14:00-16:00 42 Bute Gardens: 915
Tue 3 Feb 15:00-17:00 McMillan Round Reading Room: 305
Thu 5 Feb 10:00-12:00 McMillan Round Reading Room: 305
Mon 9 Feb 14:00-16:00 McMillan Round Reading Room: 305
Tue 10 Feb 15:00-17:00 McMillan Round Reading Room: 305
Thu 12 Feb 10:00-12:00 McMillan Round Reading Room: 305
Mon 16 Feb 14:00-16:00 McMillan Round Reading Room: 305
Tue 17 Feb 15:00-17:00 McMillan Round Reading Room: 305
Thu 19 Feb 10:00-12:00 McMillan Round Reading Room: 305
Mon 23 Feb 14:00-16:00 McMillan Round Reading Room: 305
Tue 24 Feb 15:00-17:00 McMillan Round Reading Room: 305
Thu 26 Feb 10:00-12:00 McMillan Round Reading Room: 305
Mon 2 Mar 14:00-16:00 McMillan Round Reading Room: 305
Tue 3 Mar 15:00-17:00 McMillan Round Reading Room: 305
Thu 5 Mar 10:00-12:00 McMillan Round Reading Room: 305
Mon 9 Mar 14:00-16:00 McMillan Round Reading Room: 305
Tue 10 Mar 15:00-17:00 McMillan Round Reading Room: 305
Thu 12 Mar 10:00-12:00 McMillan Round Reading Room: 305
Mon 16 Mar 14:00-16:00 McMillan Round Reading Room: 305
Tue 17 Mar 15:00-17:00 McMillan Round Reading Room: 305
Thu 19 Mar 10:00-12:00 McMillan Round Reading Room: 305
Mon 23 Mar 14:00-16:00 McMillan Round Reading Room: 305
Tue 24 Mar 15:00-17:00 McMillan Round Reading Room: 305
Thu 26 Mar 10:00-12:00 McMillan Round Reading Room: 305

Pre-recorded Classes and Online Materials

These classes took place last semester, but slides (for classes where slides were used) and other resources, practice questions, etc. are all still available for you to browse at your own pace.

Maths Essentials

Aimed at Nat 5/GSCE level, this series covers the essential maths skills needed for any student who is 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)

This series took place last semester, but the materials for the following classes are available at the Moodle link above.

Title Description
Fractions, decimals and percentages

This session covers fractions, percentages and decimals.

Rearranging Equations This session covers basic algebraic manipulation of equations.
Unit Conversions and Scientific Notation This session covers unit conversions and scientific notation.
Linear relationships This session covers straight lines.
Functions This session covers what a function is and how to evaluate them.
Powers and Logarithms This session covers powers and logarithms.
Basic Probability This session covers basic probability.
Trigonometry This session covers Pythagoras and SOHCAHTOA.
Quadratics This session covers parabolas.

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.

 

Numerical Reasoning Test Prep

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)

This series took place last semester, but the materials for the following classes are available at the Moodle link above.

Title Description
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.
Make your applications count: Tips for speed

Higher / A Level Maths Refreshers

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)

This series took place last semester, but the materials for the following classes are available at the Moodle link above.

Title Description
Graphs

This session covers how to relate graphs to real world processes.

Algebra This session covers algebraic manipulation, inequalities and simultaneous equations.
Powers and Logarithms This session covers powers and logarithms.
Straight Lines and Quadratics This session covers straight line and quadratic equations.
Functions This session covers functions including composition and inverses. 
Differentiation  This session covers differentiation, including optimisation.
Integration This session covers the basics of integration.
Trigonometry This session covers trig graphs, identities and how to solve trig equations.
Vectors This session covers the basics of vectors including addition, scalar multiplication and the dot product.