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Course	Study Period	Level	Credits	Canvas	Syllabus
FRTF05 Automatic Control, Basic Course for DE	1	G2	7.5 hp	[Fall 2025]	[FRTF05]
FRTN85/FRTN80 Applied Robotics/Applied Robotics for Architects	1	A	7.5 hp	[Fall 2025]	[FRTN85] [FRTN80]
FRTN55 Automatic Control, Advanced Course	1	A	7.5 hp	[Fall 2025]	[FRTN55]
FRTN50 Optimization for Learning	1	A	7.5 hp	[Fall 2025]	[FRTN50]
FRTF25 Introduction to Machine Learning, Systems and Control	1 & 2	G2	7.5 hp	[Fall 2025]	[FRTF25]
FRTN65 Modeling and Learning from Data	1 & 2	A	7.5 hp	[Fall 2025]	[FRTN65]
FRTF01 Physiological Models and Computations	2	G2	5 hp	[Fall 2024]	[FRTF01]
FRTF05 Automatic Control, Basic Course for MN	2	G2	7.5 hp	[Fall 2024]	[FRTF05]
FRTN05 Nonlinear Control and Servo Systems	2	A	7.5 hp	[Fall 2024]	[FRTN05]
FRTN70 Project in Systems, Control and Learning	2	A	7.5 hp	[Fall 2024]	[FRTN70]
FRTN90 Cloud Computing	2	A	7.5 hp	[Fall 2025]	[FRTN90]
FRTF05 Automatic Control, Basic Course for FIPi	3	G2	7.5 hp	[Spring 2025]	[FRTF05]
FRTF15 Control Theory	3	G2	3 hp	[Spring 2025]	[FRTF15]
FRTN45 Mathematical Modelling, Advanced Course	3	A	4.5 hp	[Spring 2025]	[FRTN45]
FRTN75 Learning-Based Control	3	A	7.5 hp	[Spring 2025]	[FRTN75]
FRTN01/FRTN60 Real-Time Systems	3 & 4	A	10/7.5 hp	[Spring 2025]	[FRTN01] [FRTN60]
FRTF11/FRTN26 Process Control	4	G2/A	6/7.5 hp	[Spring 2025]	[FRTF11], [FRTN26]
FRTN30 Network Dynamics	4	A	7.5 hp	[Spring 2025]	[FRTN30]
FRTN70 Project in Systems, Control and Learning	4	A	7.5 hp	[Spring 2025]	[FRTN70]