We explain and study dynamical systems, learning and control
The department offers education at all university levels, including first-cycle basic control courses, second-cycle elective courses, and third-cycle doctoral courses. Our basic and advanced courses attract more than 1200 students in total each year. Since 2020, we run a two-year master's program in Machine Learning, Systems and Control in collaboration with the mathematics department, which admits about 20 students per year. Our five-year doctoral program in Automatic Control admits about four to six students any given year, depending on the current funding situation.
Engineering Program Courses
The department offers basic and advanced-level courses in systems, control and machine learning for the engineering students at most of LTH's study programs (F, Pi, E, D, C, M, K, B, W, N, BME). Many of the second-cycle courses are part of specializations at the different programs.
Our courses receive very good evaluations from the students. During the study year 2019–2020, we had the highest average CEQ (course evaluation questionnaire) score among all the nineteen departments at LTH regarding overall course satisfaction.
Degree Project / Master's Thesis
We supervise about 25 degree projects in automatic control each year, often in collaboration with local industry. The department has contacts with several companies, organisations and academic colleagues that are interested in hosting master's thesis students, both in Sweden and abroad. The topics can include systems theory, modeling and simulation, machine learning, real-time systems, process control, automotive systems, robotics, and a range of other application areas for systems, learning and control.
Master's Program in Machine Learning, Systems and Control
Our two-year master's program in Machine Learning, Systems and Control prepares students for a flexible future-proof career within this general area, where advanced algorithms are used to analyse large datasets in a wide range of applications combining methods of statistical analysis, mathematics, signal processing, image analysis and control theory. The program is open for applications between October and January.
The department has a rich and stimulating research environment consisting of PhD students, postdocs and teachers coming from all corners of the world. Research is conducted in an open and progressive atmosphere with challenges and cooperation both within academia and with industry, with national and international networks. Our five-year PhD education in automatic control encompasses research (50%), doctoral courses (30%) and teaching duties (20%). A doctoral degree gives you a very solid base for an exciting career, be it in academia or industry.