Module #1 Introduction to Autonomous Systems Overview of autonomous systems, their applications, and importance in various industries
Module #2 History of Autonomous Systems Evolution of autonomous systems, milestones, and key technological advancements
Module #3 Types of Autonomous Systems Classification of autonomous systems, including robots, drones, self-driving cars, and others
Module #4 Autonomy Levels and Architectures Analysis of autonomy levels, from assisted to fully autonomous, and system architectures
Module #5 Sensing and Perception Overview of sensors and perception algorithms used in autonomous systems
Module #6 Computer Vision Fundamentals Introduction to computer vision, image processing, and feature extraction
Module #7 Sensor Fusion and Integration Methods for combining data from multiple sensors, including Kalman filters and Bayesian estimation
Module #8 Motion Planning and Control Algorithms for motion planning, control, and trajectory optimization in autonomous systems
Module #9 Machine Learning for Autonomous Systems Introduction to machine learning, including supervised, unsupervised, and reinforcement learning
Module #10 Deep Learning for Autonomous Systems Application of deep learning techniques, such as CNNs and RNNs, in autonomous systems
Module #11 Human-Machine Interaction and User Experience Design principles for human-machine interaction and user experience in autonomous systems
Module #12 Autonomous System Design Methodologies System design methodologies, including Model-Driven Engineering and Agile development
Module #13 System Modeling and Simulation Modeling and simulation tools for autonomous systems, including MATLAB, Simulink, and Gazebo
Module #14 Autonomous System Testing and Validation Testing and validation methods for autonomous systems, including verification and validation
Module #15 Cybersecurity for Autonomous Systems Cybersecurity threats and mitigation strategies for autonomous systems
Module #16 Ethics and Societal Impact of Autonomous Systems Ethical considerations and societal implications of autonomous systems, including job displacement and privacy concerns
Module #17 Regulations and Standards for Autonomous Systems Overview of regulations, standards, and certification processes for autonomous systems
Module #18 Case Studies in Autonomous Systems Real-world examples and case studies of autonomous systems in various industries
Module #19 Autonomous Systems in Robotics Autonomous systems in robotics, including robotic arms, AGVs, and service robots
Module #20 Autonomous Systems in Aerospace Autonomous systems in aerospace, including drones, UAVs, and space exploration
Module #21 Autonomous Systems in Automotive Autonomous systems in automotive, including self-driving cars, trucks, and buses
Module #22 Autonomous Systems in Healthcare Autonomous systems in healthcare, including robotic surgery, patient care, and medical diagnosis
Module #23 Autonomous Systems in Agriculture Autonomous systems in agriculture, including precision farming, crop monitoring, and autonomous tractors
Module #24 Course Wrap-Up & Conclusion Planning next steps in Autonomous Systems Design career
