Detailed Course Outline
Introduction and Course Outline
- Course overview and structure
- Exam information
- Daily schedule
Human and Artificial Intelligence—Part 1
- General definition of AI
- Ethics
- Sustainability
- AI as part of Universal Design and The Fourth Industrial Revolution
- Challenges and risks
Exercise One
- Opportunities for AI
Human and Artificial Intelligence—Part 2
- Learning from experience
- Applying the benefits of AI
- Opportunities
Ethics and Sustainability – Trustworthy - AI—Part 1
- Roles and responsibilities of humans and machines
Ethics and Sustainability – Trustworthy - AI—Part 2
- Trustworthy AI
Sustainability, Universal Design, Fourth Industrial Revolution and Machine Learning
- Learning from data, functionality, software and hardware
Exercise Two
- Ethics and sustainability
Artificial Intelligent Agents and Robotics
- AI intelligent agent description
- What a robot is
- What an intelligent robot is
Being Human, Conscious, Competent and Adaptable
- AI project teams
- Modelling humans
Exercise Three
- Human plus machine mindmap
What is a Robot?
- Definition of a robot
- Robot paradigm
Applying the Benefits of AI
- Benefits, challenges and risks
- Opportunities and funding
Building a Machine Learning Toolbox
- How do we learn from data?
- Types of machine learning
Exercise Four
- Define a simple ML problem
Building a Machine Learning Toolbox –Two Case Studies
Building a Machine Learning Toolbox
- Introduction to probability and statistics
- Introduction to linear algebra and vector calculus
- Visualising data
A Simple Neural Network Schematic
- Introduction to neural networks
Exercise Five
- Maturity and funding of an AI system
Open Source ML and Robotic Systems
- Open source software for AI and robotics
Machine Learning and Consciousness
- Introduction to machine learning and consciousness
The Future of Artificial Intelligence
- The human + machine • What will drive humans and machines to work together
Exercise Six
- Explore the future opportunities for AI and human systems
Learning from Experience
- Agile projects
Conclusion
Exam Practice and Preparation
Examination