This inspirational event is led by a teenage entrepreneur who will provide an introduction into artificial intelligence for Y9/Y10 pupils. Learners will find out what AI really is, how it works and how it will play a key part in our futures.
In this event, pupils will first gain an understanding of HE pathways, followed by an introductory speech from our host from the day, Kari Lawler – a teenage entrepreneur from Birmingham who has set up her own AI consultancy business. She will deliver much of the day, aside from when pupils have the experience to understand university life from current students on their campus tour. Workshops from the day are as follows:
Workshop One:
Firstly, we will give the students a brief look at the history of AI, starting with the birth of the term AI at the 1956 Dartmouth conference. This displays how AI has evolved throughout its brief history so far and most importantly gives context and background to the type and capabilities of current machine learning.
Workshop Two:
Then moving on to a discussion about current machine learning, starting with a talk on big data and current examples of AI projects and then demos of what is currently achievable. Finally, students will create their own basic machine learning project, displaying the key principles in machine learning.
Workshop Three:
This workshop includes a brief discussion about what the future of AI as a whole may look like and how it may affect young people. As well as offering careers advice, for a world that includes AI. With additional information for those interested in taking up data science, with what qualifications current employers seek when recruiting in this field.
The event will run from 09:30 - 14:30.
Year Group(s):
9 & 10
Gatsby Benchmarks:
2, 4 and 7.
Learning Objectives:
- learn about career paths related to AI/coding/programming/computer science subject routes.
- develop knowledge and identify skills required within the subject area and career pathways.
- learn more about HE study and life at university.
- explore opportunities in their local area relevant to their subject area.
Learning Outcomes (Linked to Aimhigher Plus Progression Framework):
As 3.1, Aw 3.1, At 3.1, At 3.2, Ap 3.1, Ac 3.1, As 4.1, Aw 4.2, Aw 4.3, Ac 4.2, Aw 5.1, Aw 5.3
http://aimhigherwm.ac.uk/wp-content/uploads/2019/07/Progression-Framework.pdfPlaces Available:
30 (At least 50% of learners must be Aimhigher Plus)
Transport Provided:
On request
Lunch Provided:
No
Our cancellation policy applies. Visit this website below for more information:
http://aimhigherwm.ac.uk/aimhigher-plus/events-and-activities/