Level 2 · M.Sc

Robotics & Embedded Systems (Raspberry Pi)

Syllabus · 48 phases · ~1 year

Every unit this programme teaches, in the order it is taught. Headlines only — the material itself opens once you are enrolled.

Dates, price and prerequisites

Phase 0 Foundations & tooling
Phase 1 Embedded Linux & the Pi platform
Phase 2 GPIO & digital output
Phase 3 Digital input, buttons & debouncing
Phase 4 PWM: dimming, tones & analog-ish output
Phase 5 Servo control
Phase 6 I2C
Phase 7 SPI
Phase 8 UART / serial
Phase 9 ADC & analog sensors
Phase 10 Temperature & environment sensors
Phase 11 Ultrasonic distance sensing
Phase 12 The IMU: accelerometer & gyroscope
Phase 13 DC motors & the H-bridge
Phase 14 Stepper motors
Phase 15 Displays & shift registers
Phase 16 FREENOVE integrated build: the sensor station
Phase 17 The Pi Camera & vision intro
Phase 18 Real-time, concurrency & robustness
Phase 19 Coordinate frames & rigid-body transforms
Phase 20 Kinematics & odometry
Phase 21 Robot sensing & sensor fusion
Phase 22 Feedback control & the PID controller
Phase 23 Closed-loop motion
Phase 24 State machines for robot behaviour
Phase 25 Line-following robot
Phase 26 Obstacle avoidance & reactive navigation
Phase 27 Perception with OpenCV on the Pi
Phase 28 Intro to ROS2 concepts
Phase 29 A ROS2 robot: bringing it together
Phase 30 Capstone: the autonomous rover
Phase 31 Hardening, safety & field robustness
Phase 32 Portal integration & what's next
Phase 33 Lagrangian dynamics & the manipulator equation
Phase 34 Newton–Euler, forward/inverse dynamics & simulation
Phase 35 State-space modelling, linearization & discretization
Phase 36 LQR & optimal control
Phase 37 The Kalman filter
Phase 38 Nonlinear estimation: the EKF & UKF
Phase 39 Factor graphs & nonlinear least squares
Phase 40 EKF-SLAM: mapping while you localize
Phase 41 Graph SLAM & pose-graph optimization
Phase 42 Sampling-based motion planning
Phase 43 Trajectory optimization & smoothing
Phase 44 Camera models & calibration
Phase 45 Features, matching & optical-flow tracking
Phase 46 Visual odometry & structure from motion
Phase 47 PhD capstone: the estimation–planning–control stack