Complete list of units
Complete list of all units proposed by the "Automatique, Robotique" MSc, by semester, year ou track:
1st semester
- AI Fundamentals
- Automatic control: frequency domain analysis
- Basics of Mechanics for Robotics
- Digital signal processing
- Information theory
- Introduction to Machine Learning
- Introduction to Robotics
- Introduction to image processing
- Introduction to sound processing
- Object-oriented programming in Python
- Optimisation
- Random signals processing
- Sensors, actuators and transmission
- Simulation of mechanisms
- State-space representation for automatic control
2nd semester
- C++ Object Programming
- CAx and Fablab
- Computer vision
- Deep Learning and introduction to Reinforcement Learning
- Mini engineering project
- Natural language processing
- ROS and experimental robotics
- Serial robot dynamics
- Time-frequency analysis and spatialized sound
M1
- AI Fundamentals
- Automatic control: frequency domain analysis
- Basics of Mechanics for Robotics
- C++ Object Programming
- CAx and Fablab
- Computer vision
- Deep Learning and introduction to Reinforcement Learning
- Digital signal processing
- Information theory
- Introduction to Machine Learning
- Introduction to Robotics
- Introduction to image processing
- Introduction to sound processing
- Mini engineering project
- Natural language processing
- Object-oriented programming in Python
- Optimisation
- ROS and experimental robotics
- Random signals processing
- Sensors, actuators and transmission
- Serial robot dynamics
- Simulation of mechanisms
- State-space representation for automatic control
- Time-frequency analysis and spatialized sound
MEDH
- Automatic control: frequency domain analysis
- Basics of Mechanics for Robotics
- C++ Object Programming
- CAx and Fablab
- Deep Learning and introduction to Reinforcement Learning
- Digital signal processing
- Introduction to Machine Learning
- Introduction to Robotics
- Introduction to image processing
- Mini engineering project
- Object-oriented programming in Python
- Optimisation
- ROS and experimental robotics
- Sensors, actuators and transmission
ROB
- Automatic control: frequency domain analysis
- Basics of Mechanics for Robotics
- C++ Object Programming
- CAx and Fablab
- Deep Learning and introduction to Reinforcement Learning
- Digital signal processing
- Introduction to Machine Learning
- Introduction to Robotics
- Introduction to image processing
- Object-oriented programming in Python
- Optimisation
- ROS and experimental robotics
- Serial robot dynamics
- Simulation of mechanisms
- State-space representation for automatic control
SI
- AI Fundamentals
- Automatic control: frequency domain analysis
- C++ Object Programming
- Computer vision
- Deep Learning and introduction to Reinforcement Learning
- Information theory
- Introduction to Machine Learning
- Introduction to image processing
- Introduction to sound processing
- Natural language processing
- Object-oriented programming in Python
- Optimisation
- ROS and experimental robotics
- Random signals processing
- Time-frequency analysis and spatialized sound