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Engineering Program

The engineering education follows the central European systems with a 5 year program leading up to the degree ''civilingenjör'' (civ ing) which is equivalent to an MSc according to the Bologna system as well as to the US and British systems.

Automatic control courses are taught as part of the engineering curricula in Engineering Physics (F), Electrical Engineering (E), Computer Engineering (D), Mechanical Engineering (M), Information and Communication Engineering (C), Environmental Engineering (W), Engineering Mathematics (Pi), Industrial Management and Engineering (I), Biotechnology (B), Engineering Nanoscience (N), Chemical Engineering (K), and Biomedical Engineering (BME).

Our courses are part of the these engineering program specializations.

Information sheets in Swedish are available as PDF documents.

Students must register for both ordinary exams and retake exams via the student portal, www.student.ladok.se. The registration page opens 3 weeks before and closes 1 week before the exam. LADOK registrations are handled by Mika Nishimura.

Teaching Assistant in Automatic Control

Are you a student at LTH and is interested in taking part in the teaching of Automatic Control? We regularly (typically in November and May for the following semester) announce positions for teaching assistants. The teaching consists of supervising exercise and laboratory sessions. You will work in a team with the other teachers in the course and the extent of the teaching is adapted to your own studies.

  • Announcement teaching assistant positions (currently no open call, send an e-mail to Cecilia Edelborg to get a notification when the next announcement opens)

If you have any questions regarding being a teaching assistant in Automatic Control, please contact Director of Undergraduate Studies Björn Olofsson.

Basic (G2) and Advanced-Level (A) Courses


CodeTitleStudy PeriodLevelCredits
FRTF05 Automatic Control, Basic Course for DE1G27.5
FRTN85/FRTN80 Applied Robotics/Applied Robotics for Architects1A7.5
FRTN55 Automatic Control, Advanced Course1A7.5
FRTN50 Optimization for Learning1A7.5
FRTF25 Introduction to Machine Learning, Systems and Control1 & 2G27.5
FRTN65 Modeling and Learning from Data1 & 2A7.5
FRTF01 Physiological Models and Computations2G25
FRTF05 Automatic Control, Basic Course for MN2G27.5
FRTN05 Nonlinear Control and Servo Systems2A7.5
FRTN70 Project in Systems, Control and Learning2A7.5
FRTF05 Automatic Control, Basic Course for FIPi3G27.5
FRTF15 Control Theory3G23
FRTN45 Mathematical Modelling, Advanced Course3A4.5
FRTN75 Learning-Based Control3A7.5
FRTN01/FRTN60 Real-Time Systems3 & 4A10/7.5
FRTF10/FRTN25 Systems Engineering/Process Control4G2/A6/7.5
FRTN30 Network Dynamics4A7.5
FRTN70 Project in Systems, Control and Learning4A7.5