For questions regarding registrations/re-registrations for courses and exams in Ladok, please contact course administrator Mika Nishimura.

Please note that some Canvas course sites require login for access.

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 2025]	[FRTF01]
FRTF05 Automatic Control, Basic Course for MN	2	G2	7.5 hp	[Fall 2025]	[FRTF05]
FRTN05 Nonlinear Control and Servo Systems	2	A	7.5 hp	[Fall 2025]	[FRTN05]
FRTN70 Project in Systems, Control and Learning	2	A	7.5 hp	[Fall 2025]	[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 2026]	[FRTF05]
FRTF15 Control Theory	3	G2	3 hp	[Spring 2026]	[FRTF15]
FRTN45 Mathematical Modelling, Advanced Course	3	A	4.5 hp	[Spring 2026]	[FRTN45]
FRTN75 Learning-Based Control	3	A	7.5 hp	[Spring 2026]	[FRTN75]
FRTN01/FRTN60 Real-Time Systems	3 & 4	A	10/7.5 hp	[Spring 2026]	[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]