COURSE OVERVIEW
Bring the world of machine learning and AI into your A level Mathematics classroom through the maths and statistics that make it possible.
Our Bringing the Maths of Data Science and AI into the A level Mathematics classroom course helps A level Mathematics and Further Mathematics teachers explore the maths and statistics that underpin machine learning and AI. You will develop practical ideas for classroom teaching through online sessions. During the course, you will investigate how data analysis, predictive modelling and AI connect to familiar curriculum content.
The course is for teachers who want to understand how ideas from machine learning and AI relate to A level maths subjects, or who want to make greater use of technology-based tools in teaching data and statistics. Using tools such as Desmos and Python, you will explore data, build predictive models, and examine how algorithms work, while gaining resources and activities to enrich students’ learning.
5 online sessions
The five sessions will be held via Zoom. The technology tasks will use free web-based platforms such as Desmos, Kaggle or Google Colab.
Summary
| Format | Online |
| Audience | Teachers |
| Duration | 2 Months |
| Sessions | 5 |
| Time: | Various |
| Cost | Free to state-funded teachers; otherwise £135 |
The course will run once in the academic year, in the spring term.
Curriculum: A level Mathematics, A level Further Mathematics
Focus: Data Science, AI, Statistics
Important information before enrolling on this course
We offer this course as both an online course and a blended course. Please ensure you enrol in the style of course that is best suited to your schedule.
Please note: each version of the course will have a different start date and study schedule. Please check the course pages and PDFs for further details.
Bringing the Maths of Data Science and AI into the A level Maths classroom – Blended
What you will learn
Develop confidence in using mathematics, statistics and technology-based tools to explore data, understand machine learning, and AI.
Data Analysis
Use Desmos and Python to explore data in ways that support classroom teaching.
Machine Learning
Learn how predictive models are built and how machine learning ideas can be introduced in the classroom.
Artificial Intelligence (AI)
Examine how mathematics and data underpin AI and connect to A level content.
“Relevant to day-to-day course teaching – immediate impact on students”
“Before the course I had zero real understanding of machine learning and AI. Having completed the course I feel I have a beginners insight into something truly wonderful and incredibly complex.“
“The tasks for students involving Desmos and the LDS will be extremely useful next year through making the learning more interactive. To then be able to demonstrate in greater depth using the Python tasks will give the students a better understanding of how it all fits together and is relevant in the wider world – It certainly did for me!“
Frequently Asked Questions
Your common questions and concerns answered
The DfE provides funding so that places on this course are free to teachers from state-funded schools and colleges in England. For those who do not meet this criterion, the course fee of £135 applies.
Priority will be given to teachers in state-funded schools and colleges in England. Where we have spare capacity, we extend our support to other teachers and operate a waiting list.
Any teacher who is interested in how the content of A level Mathematics/Further Mathematics is used in machine learning/AI, or who wishes to make great use of technology-based tools in their teaching of data and statistics.
No. No prior knowledge is expected; all support needed will be given.
No. All the tools used are free and web-based.
When a course is open for applications, please click the Application button on this page to apply. You will need to create a myMEI account if you don’t already have one. You will need to select the event you wish to attend from the registration form.
As part of the AMSP, you can also register for free resources via MEI’s Integral learning platform.