courseoutline_metadesc.tpl
    
        
            
            
            
        
                    
        
    
             
    
                
            Artificial Intelligence Foundation (HQ7H8S) – Details
            
            
    
            
            
                
                                    
                                                
                            Detaillierter Kursinhalt
                        
                        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 1 
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
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
Applying the Benefits of AI 
- Opportunities and funding
Building a Machine Learning Toolbox 
- How do we learn from data?
Building a Machine Learning Toolbox 
- 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
Building a Machine Learning Toolbox
- Introduction to linear algebra and vector calculus
Building a Machine Learning Toolbox
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
Conclusion
Exam Practice and Preparation
Examination