Courses EECS/Robotics, Perception and Learning

Course code	Course name	Scope	Educational level
FDD3012	Machine Learning, Reading Group	6.0 credits	Third cycle
FDD3025	Introduction to Behavior Trees in Robotics and AI	3.0 credits	Third cycle
FDD3313	Computer Vision, Reading Group	6.0 credits	Third cycle
FDD3316	Robotics, Reading Group	6.0 credits	Third cycle
FDD3337	Topics in Computer Vision I	3.0 credits	Third cycle
FDD3338	Topics in Computer Vision II	6.0 credits	Third cycle
FDD3339	Topics in Computer Vision III	9.0 credits	Third cycle
FDD3353	Topics in Robotics I	3.0 credits	Third cycle
FDD3354	Topics in Robotics II	6.0 credits	Third cycle
FDD3355	Topics in Robotics III	9.0 credits	Third cycle
FDD3356	System Integration for Robotics	7.5 credits	Third cycle
FDD3359	Reinforcement Learning	6.0 credits	Third cycle
FDD3364	Elements of Statistical Learning	9.0 credits	Third cycle
FDD3412	Deep Learning, Advanced Course	6.0 credits	Third cycle
FDD3416	Safe Robot Planning and Control	7.5 credits	Third cycle
FDD3424	Deep Learning in Data Science	7.5 credits	Third cycle
FDD3431	Graduate Course in Machine Learning	6.0 credits	Third cycle

Studies