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Discipline herald — Robotics
Discipline herald

Level 2 · M.Sc

MSc Robotics & Embedded Systems (Raspberry Pi)

Robotics · Live · v0

Path type
Robotics
Requirements
Open entry
Enrollment

€9.95

Deadline
Next cohort starts 2027-09-06 (AY 2027/28)
Length
~1 year · 48 phases
Language
English · Español
Content freshness
Curriculum updated 2026-08-22 · content rev 3856413e
Cortex Credits (CC)
126 CC
What are Cortex Credits?
Syllabus
View the phase syllabus
  1. Foundations & tooling
  2. Embedded Linux & the Pi platform
  3. GPIO & digital output
  4. Digital input, buttons & debouncing
  5. PWM: dimming, tones & analog-ish output
  6. Servo control
  7. I2C
  8. SPI
  9. UART / serial
  10. ADC & analog sensors
  11. Temperature & environment sensors
  12. Ultrasonic distance sensing
  13. The IMU: accelerometer & gyroscope
  14. DC motors & the H-bridge
  15. Stepper motors
  16. Displays & shift registers
  17. FREENOVE integrated build: the sensor station
  18. The Pi Camera & vision intro
  19. Real-time, concurrency & robustness
  20. Coordinate frames & rigid-body transforms
  21. Kinematics & odometry
  22. Robot sensing & sensor fusion
  23. Feedback control & the PID controller
  24. Closed-loop motion
  25. State machines for robot behaviour
  26. Line-following robot
  27. Obstacle avoidance & reactive navigation
  28. Perception with OpenCV on the Pi
  29. Intro to ROS2 concepts
  30. A ROS2 robot: bringing it together
  31. Capstone: the autonomous rover
  32. Hardening, safety & field robustness
  33. Portal integration & what's next
  34. Lagrangian dynamics & the manipulator equation
  35. Newton–Euler, forward/inverse dynamics & simulation
  36. State-space modelling, linearization & discretization
  37. LQR & optimal control
  38. The Kalman filter
  39. Nonlinear estimation: the EKF & UKF
  40. Factor graphs & nonlinear least squares
  41. EKF-SLAM: mapping while you localize
  42. Graph SLAM & pose-graph optimization
  43. Sampling-based motion planning
  44. Trajectory optimization & smoothing
  45. Camera models & calibration
  46. Features, matching & optical-flow tracking
  47. Visual odometry & structure from motion
  48. PhD capstone: the estimation–planning–control stack
Enrolment prerequisites
  • A verified account and admissions-committee approval.

Professor: Vacancy available

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