Courseoutline
I. Introduction to Autonomous Cars
- Definition of autonomous cars
- Brief history and development of autonomous cars
- Benefits and challenges of autonomous cars
II. Technology behind Autonomous Cars
- Sensors and cameras
- Lidar and radar
- GPS and mapping
- Artificial intelligence and machine learning
III. Levels of Autonomy
- Society of Automotive Engineers (SAE) levels of autonomy
- Description and capabilities of each level
IV. Safety and Security
- Safety features of autonomous cars
- Cybersecurity concerns and solutions
V. Legal and Ethical Issues
- Legal framework for autonomous cars
- Ethical considerations in autonomous car decision-making
VI. Future of Autonomous Cars
- Potential impact on society and the economy
- Challenges and opportunities for the automotive industry
- Predictions for the future of autonomous cars
VII. Case Studies and Hands-On Activities
- Case studies of autonomous car companies and projects
- Hands-on activities such as programming a self-driving car simulation or building a miniature
autonomous car
VIII. Conclusion and Reflections
- Summary of key points covered in the module
- Reflections on the future of autonomous cars and their impact on society.