Core Learning Objectives

• Understand what machine learning is
• Be able to build a simple machine learning model

Challenge

• Be able to make changes to a simple machine learning model

Core Learning Objectives

• Understand what a chatbot is
• Be able to build a natural language digital assistant

Challenge

• Recognise the advantages of natural language processing
• Appreciate real life applications of chatbots

Core Learning Objectives

• Understand how machine learning can be used to make recommendations
• Be able to build a simple recommendations system

Challenge

• Be able to adapt a recommendation system to include new criteria
• Understand what a filter bubble is

Core Learning Objectives

• Understand how machine learning is used to make decisions
• Understand potential issues with the application of machine learning

Challenge

• Be able to evaluate the impact of ethical considerations in the application of machine learning

Core Learning Objectives

• Understand the difference between supervised and unsupervised learning
• Understand basic machine learning algorithms

Challenge

• Be able to use basic machine learning algorithms
• Understand what a neural network is

Core Learning Objectives

• Be able to use machine learning tools to visualise data
• Be able to use python to import data and run basic machine learning algorithms

Challenge

• Be able to apply learning to own datasets

This optional session assumes that students have a basic understanding of Python programming. If this does not apply, you can proceed to the next session.

Core Learning Objectives

• Identify everyday problems which could be solved using machine learning

Challenge

• Be able to convey the key concepts of your idea in a 30 second pitch
• Be able to critically evaluate machine learning ideas and select the strongest to take forward

Core Learning Objectives

• Gain a better understanding of the data requirements of your machine learning product
• Gain a better understanding of who would use your machine learning product and how they would benefit

Challenge

• Be able to prepare data for a machine learning model
• Be able to design a machine learning model that will meet the needs of the user

Core Learning Objectives

• Gain information about the machine learning model development process from an industry Expert
• Be able to obtain constructive feedback on your machine learning ideas

Challenge

• Develop confidence discussing technical feasibility with an industry Expert
• Be able to act on constructive feedback to improve your machine learning model

Core Learning Objective

• Be able to develop and train your machine learning model

Challenge

• Be able to improve the accuracy of your model

Core Learning Objective

• Understand how to present your ideas effectively

Challenge

• Be able to summarise the key points of your machine learning model in a short presentation
• Understand different business models used for machine learning

Core Learning Objectives

• Understand the range of jobs available developing machine learning
• Understand the impact of machine learning on all jobs

Challenge

• Understand the different routes into a career in machine learning