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Department of Automatic Control
LTH, Faculty of Engineering
Education
Research
External Engagement
Personnel
Publications
About, Contact
Engineering Program Courses
Degree Project / Master's Thesis
Master's Program in Machine Learning, Systems and Control
Doctorate Program
Modeling - from Physics to Languages and Software
FRT235F Adaptive Control 2021
Motion Planning and Control
Stochastic Control 2019
Julia Course
Study Circle in Reinforcement Learning
Study Circle in Deep Reinforcement Learning
Nonlinear Control Theory
Convex Optimization
Large-Scale Convex Optimization
Large-Scale Convex Optimization 2020
Advanced PID Control 2013
Robust Control
History of Control
Advanced Computer Controlled Systems 2013
Distributed Control 2013
Study Circle on Robot Learning and Control
Cloud Computing Resource Management
Introduction to Cloud Computing 2015
Cloud Native
Hybrid Systems
Numerical Optimization
Stochastic Control Theory 2016
Control System Synthesis
Programming Languages and Concepts
Research Methods, Ethics and Innovation
Optimal Control
Optimal transport
Linear Systems
Deep Learning - study circle
Real-Time and Embedded Systems with Application to Machine Learning
Pragmatic Programming
Model Predictive Control - Study Circle
Lab development
Course on Motion Planning and Control
Feedback Control of Computing Systems
Earlier PhD Courses
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Pragmatic Programming
Pragmatic Programming