Courses and learning resources

Teaching

Course overviews, reading lists, software tools, and exercise material in doctoral education, real-time systems, robotics, and automatic control.

01

Upcoming course

Distributed Real-Time Systems

DTU Compute5 ECTSEnglishSpring 2027

Official course page Planned for Spring 2027

Course page in preparation. Teaching materials, the detailed schedule, and project information will be added before the course begins.

Course overview

The course introduces the principles, methods, and engineering challenges behind distributed real-time systems. It combines analytical foundations with simulation and project work, with particular attention to task scheduling, real-time networks, and Time-Sensitive Networking (TSN).

Topics

• Real-time task models and schedulability analysis
• Real-time networks and Time-Sensitive Networking
• Scheduling algorithms and traffic shaping
• Simulation of scheduling and traffic-shaping policies
• Architecture design: task-to-core mapping and message routing
• Metaheuristic optimization strategies

Practical information

• Course code02225
• Duration13 weeks
• Teaching timeFridays, 08:00–12:00
• LocationDTU Lyngby Campus
• FormatLectures, exercises, and project work
• LanguageEnglish

02

Active course

Control Theory

MDU7.5 hp2017–20212026

Canvas Course details 2026 edition currently running

Topics

• Dynamic, linear, and nonlinear systems
• Transfer functions and block diagrams
• Frequency response
• Stability and performance
• Frequency-domain control design and PID controllers
• Discrete-time systems

Reading

• Franklin, Powell, and Emami-Naeini, Feedback Control of Dynamic Systems
• Åström and Murray, Feedback Systems

Practical information

• Course codeELA415
• DurationHT1
• LocationVästerås Campus
• FormatLectures and exercises
• LanguageEnglish

03

Doctoral education

Introduction to Third-Cycle Studies and Research Literacy (Modules I–III)

MDU2.5 hp (each)Modules I–III2024–2026

Course details (Module I) Course details (Module II) Course details (Module III) 2026 edition currently running

Course overview

I taught Modules I–III of this course from 2024 to 2026. The course introduces third-cycle studies and develops the research-literacy skills needed to navigate and critically engage with academic research.

Practical information

• Course codeFOID003 - FOID004 - FOID005
• DurationSpring and Fall Semester
• LocationVästerås Campus
• FormatLectures and assignments
• LanguageEnglish

04

Course archive

Mobile Robots

MDU7.5 hp2017–2026

Canvas Course details Taught 2017–2026

Topics

• Locomotion, kinematics, and dynamic models
• Odometry and behavior-based robotics
• Computer vision and 3D perception
• Markov localization and Extended Kalman Filters
• Simultaneous localization and mapping (SLAM)
• Graph search and potential-field path planning

Reading

• Siegwart, Nourbakhsh, and Scaramuzza, Introduction to Autonomous Mobile Robots
• Corke, Robotics, Vision and Control
• Siciliano et al., Robotics: Modelling, Planning and Control
• QUT Robot Academy

Practical information

• Course codeELA408
• DurationVT1
• LocationVästerås Campus
• FormatLectures and projects
• LanguageEnglish

05

Course archive

Industrial Robotics

MDU7.5 hp2017–2024

Canvas Course details Taught 2017–2024

Topics

• Introduction to robotics
• Robot and differential kinematics
• Trajectory generation
• Robot joint control
• Dynamics and control
• Safety, security, and software engineering in robotics

Reading

• Siciliano et al., Robotics: Modelling, Planning and Control
• Corke, Robotics, Vision and Control
• Robotics courseware
• QUT Robot Academy

Software

MATLAB Robotics Toolbox by Peter Corke.

Practical information

• Course codeDVA400
• DurationHT2
• LocationVästerås Campus
• FormatLectures, Labs, and projects
• LanguageEnglish

06

Course archive

Fondamenti di Automatica

Politecnico di Milano10 ECTSItaliano2016

Pagina del corso Taught in 2016

Materiale delle esercitazioni

1. Algebra delle matrici e numeri complessi
2. Analisi di sistemi dinamici: movimenti ed equilibriSoluzione
3. Sistemi a tempo discretoSoluzione
4. Stabilità dei sistemi dinamici e sistemi interconnessiSoluzione MATLAB
5. Trasformata di Laplace e funzione di trasferimentoSoluzione
6. Sistemi interconnessi e funzioni di trasferimentoSoluzione
7. Esercitazione di ripasso
8. Risposta in frequenzaSoluzione
9. Analisi di stabilità dei sistemi di controlloSoluzione
10. Analisi delle prestazioni dei sistemi di controlloSoluzione
11. Sintesi del controlloreSoluzione
12. RipassoSoluzione Python MATLAB
13. Ripasso II prova in itinereSoluzione

Materiale aggiuntivo

• Carta semilogaritmica e regolo delle fasi
• Raccolta esercizi 2016 · Soluzioni

Practical information

• Course code085905
• Duration2 semester
• LocationLeonardo Campus
• FormatLectures and Exercises
• LanguageEnglish

07

Course archive

Real-Time Systems

Lund University10 hp2014/2015

Official course page Co-taught with Karl-Erik Årzén

Course overview

I taught this 10-credit course at Lund University during the 2014/2015 academic year together with Karl-Erik Årzén. The course focused on the design and implementation of computer-based control systems with real-time requirements.

Topics

• Real-time programming, synchronization, and mutual exclusion
• Real-time kernels and operating systems
• Scheduling theory and schedulability analysis
• Computer implementation of control algorithms
• Discrete-time control, sampling, delays, and jitter
• Event-based and networked control systems

Practical information

• Course codeFRTN01
• DurationHT
• LocationLund Campus
• FormatLectures and Projects
• LanguageEnglish