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AI for Designers
Notices and Getting Started Guide
Welcome to the course
How the course will be graded
Day 1 - Part One
Day 1 Timetable
Day 1 Introduction
AI Foundations.
Computer Science Basics
Programming Basics
The Internet De-Mystified
A Framework for Digital Technology
Checkpoint 1
The Digital Technology World.
Big Data & AI
Automation
Robotics and Robotic Process Automation
Human Computer Interface
Privacy and Secuirty.
Blockchain / Smart Contracts
The Solutions Process
Checkpoint 2
Coding
A Decision Tree Algorithm
Coding Task
End of Part One.
Day 1 - Part Two
Day 1 Part Two Timetable.
Day 1 Part Two Introduction
Scenario One - Security.
Scenario Two - Controlling Light Automatically.
Scenario Three - Controlling Temperature.
Serial Data
IoT Challenge
End of Day One
Extension Work
References
Day 2
Day Two Time Table
AI Foundations - Machine Learning.
Introduction to Machine Learning.
Why Learn about how AI works ?
Framing AI
What and where is AI ?
Exploring Applied Machine Learning.
Checkpoint 1
Undertsanding Machine Learning – First Steps (2:01)
Learning from data
Data Formats
Checkpoint 2.
Machine Learning Applications.
Classification.
Classification - Your Task.
Classifying Images
Your Task - Classifying Images
Classifying Words
Natural Language Processing
Checkpoint 3.
Optional Practical Checkpoint
Neural Networks (6:23)
Checkpoint 4
Extension Work
Day 3.
Day 3 Timetable
Introduction to AI & Creativity.
Human vs Machine Intelligence.
How to make a mind ?
What does each part of the brain do ?
Human Connectome Project.
What is a Thought ?
What is a Memory ?
What is Learning ?
What is a Intelligence ?
What is Creativity ?
Practical Task 2.
AI: More than Human
What makes us human ? Why do we fear AI & Robots ?
Resurrecting the sublime
Will AI change society ?
Finding art in a brutal place
25 moments that defined AI
AI Explained
Enter the Exhibition
Where AI meets culture
The Key Cultural Questions
Code thats trying to save the world
When ART meets AI
Create your own AI Artwork
The Future of AI
Experiments
Practical Task 3 - Answer one of the following questions.
References
Further Reading
Day 4.
Day 4 timetable
Introduction to AI Tools.
AI is your new Design Material.
HCI - Human Computer Interface.
Graphical User Interface - GUI or UI.
Beyond Glass Rectangles.
Usability
Understanding humans understanding ourselves : Cognitive Biases
Garbage in Garbage out.
Voice
Checkpoint 1
Pixels, Voxels, Vixels
Images
Checkpoint 2
Geometry
Checkpoint 3
End of Day 4
References
Secrets to successful team work
Day 5.
Day 5 Time Table
Introduction to Leading AI
Say Hello to AI
Course Objectives
Using the Course
What is AI ?
AI Tools and Applications
Say "Hello" to Emma
AI and Robotics
Limitations of AI
AI in Finance
Case Study, Fidelity International
Checkpoint 1
Discussions points
Learning from DATA
Explainable AI ( XAI)
Types of DATA
Machine Learning
Deep Learning
Business built on AI - Google & Facebook
AI Forecasting for Amazon
Scaling AI Case Study, UBER
Checkpoint 2
Discission points
Taking advantage of AI
Your AI Journey
Common Road Blocks
Checkpoint 3
Discussion points
End of Day 5.
Day 6
Day 6 timetable
Implementing AI
Introduction to implementing AI
IT Infrastructure for AI
Delivering an AI Solution
Building an AI Orientated Culture and Organisation
Skills for AI .
Checkpoint 4
Discusion points
AI Planning Template
Review problem statements for your project
End of Day and Instructional section of the course
References
Useful Resources
Days 7 - 10 Group Projects
Day 7 Timetable
The AI in Design Challenge
Day 8 - 10 Timetable
Develop & Deliver
New Lecture
Day 4 timetable
Complete and Continue
