Robotics and Artificial Intelligence Course Syllabus
Course Syllabus
Download SyllabusModule 1: Introduction to Robotics
- History and evolution of robotics
- Basic components of a robot (sensors, actuators, effectors)
- Robot classifications (mobile robots, manipulators, etc.)
- Robot kinematics and dynamics (basic concepts)
Module 2: Introduction to Artificial Intelligence
- What is AI? Definitions and key concepts
- Search algorithms (depth-first search, breadth-first search, A*)
- Knowledge representation and reasoning
- Expert systems and rule-based systems
Module 3: Machine Learning
- Supervised learning (linear regression, classification)
- Unsupervised learning (clustering, dimensionality reduction)
- Reinforcement learning (Markov Decision1 Processes, Q-learning)
Module 4: Robotics and AI Applications
- Autonomous vehicles (self-driving cars, drones)
- Robotics in healthcare (surgery, rehabilitation)
- Industrial robotics (manufacturing, automation)
- AI in natural language processing (chatbots, machine translation)
- Computer vision (object recognition, image processing)
Module 5: Ethical and Societal Considerations
- Job displacement and the future of work
- Bias and fairness in AI systems
- Privacy and security concerns
- The ethical use of AI in warfare and surveillance
- The impact of AI on human values and society
Our robotics and artificial intelligence syllabus offers a broad structure. By defining particular learning objectives for every lesson, you can further personalize it. Enroll now for the best robotics and AI course in Chennai.
