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Control, Robotics and Autonomous Systems (minor)
Basic information
Code:
ELEC3028
Extent:
20
ECTS
Curriculum:
2024–2026
2022–2024
2020–2022
Level:
Advanced studies
Language of learning:
English
Theme:
ICT and digitalisation
Target group:
All Aalto students
Teacher in charge:
Quan Zhou
Valeriy Vyatkin
Administrative contact:
Alli Palojärvi
Organising department:
Department of Electrical Engineering and Automation
School:
School of Electrical Engineering
Prerequisites:
Minor in Automation and Robotics in the BSc degree or equivalent knowledge.
Quotas and restrictions:
-
Application process:
-
Content and structure of the minor
About the minor
Control, robotics and autonomous systems is a multidisciplinary field that creates intelligent
systems capable of performing complex tasks especially related to physical environments.
This field is at the forefront of technological advancements and has applications in various
sectors, including manufacturing, transportation, healthcare, power production, and everyday
life such as smart buildings and consumer electronics.
The minor extends the bachelor-level minor of Automation and Robotics. It offers deeper understanding of modelling, estimation and control of dynamical systems. In addition students will study the development of distributed automation systems.
Learning objectives:
Upon completing the minor, a student is able to:
- understand the need for automation
- design models and controllers for dynamical systems
- analyze properties and dynamics of systems
- develop software for distributed automation systems
Content
The minor consists of 20 credits in total. Students may either choose to complete all compulsory courses or three compulsory courses and one elective course as given in the list below.
| Code | Course name | ECTS | Period |
|---|---|---|---|
Choose a minimum of 3 courses from the list below |
|||
| ELEC-E8101 | Digital and Optimal Control | 5 | I-II |
| ELEC-E8102 | Distributed and Intelligent Automation Systems D | 5 | I-II |
| ELEC-E8103 | Modelling, Estimation and Dynamic Systems | 5 | I-II |
| ELEC-E8740 | Basics of Sensor Fusion D | 5 | I-II |
Choose 0-1 course from the list below to fulfill 20 credits |
|||
| ELEC-E8110 | Automation Software Synthesis and Analysis D | 5 | IV-V |
| ELEC-E8111 | Autonomous Mobile Robotics | 5 | IV-V |
| ELEC-E8001 | Embedded Real-Time Systems | 5 | I-II |
| ELEC-E8113 | Information Systems in Industry | 5 | I |
| ELEC-E8115 | Micro- and Nano Robotics D | 5 | III-IV |
| ELEC-E8121 | Networked Control of Multi-agent Systems | 5 | IV-V |
| ELEC-E8743 | Neurorobotics | 5 | III-IV |
| ELEC-E8130 | Nonlinear Control Design and Analysis D | 5 | I-II |
| ELEC-E8125 | Reinforcement Learning | 5 | I-II |
| ELEC-E8126 | Robotic Manipulation | 5 | III-IV |
| CS-E4850 | Computer Vision D | 5 | I-II |
Previous curricula
Code: ELEC3028
Extent: 20 ECTS
Curriculum: 2022–2024
Level: Masters
Language of instruction: English
Theme: ICT and digitalisation
Teacher in charge: Quan Zhou Valeriy Vyatkin
Administrative contact: Alli Palojärvi
Organising department: -
Target group: All Aalto students
Prerequisites: Minor in Automation and Control Engineering in the BSc degree or equivalent knowledge.
Quotas and restrictions: -
Application process: -
The minor extends the bachelor-level minor of Automation and Control Engineering. It offers deeper understanding of modelling, estimation and control of dynamical systems. In addition students will study the development of distributed automation systems.
Learning objectives:
A student
- Is able to develop software for distributed automation systems
- Is able to model dynamical systems
- Is be able to design controllers for dynamical systems
The minor consists of 20 credits in total. Students may either choose to complete all compulsory courses or three compulsory courses and one elective course as given in the list below.
| Code | Course name | ECTS credits | Period |
|---|---|---|---|
| Compulsory courses - Choose a minimum of 3 courses (15 credits) from the list below | 15 | ||
| ELEC-E8101 | Digital and Optimal Control | 5 | I-II |
| ELEC-E8102 | Distributed and Intelligent Automation Systems D | 5 | I-II |
| ELEC-E8103 | Modelling, Estimation and Dynamic Systems | 5 | I-II |
| ELEC-E8740 | Basics of Sensor Fusion | 5 | I-II |
| Optional courses - Choose 1 course (5 credits) from the list below | |||
| ELEC-E8110 | Automation Software Synthesis and Analysis D | 5 | IV-V |
| ELEC-E8111 | Autonomous Mobile Robotics | 5 | IV |
| ELEC-E8001 | Embedded Real-Time Systems | 5 | I-II |
| ELEC-E8113 | Information Systems in Industry | 5 | I |
| ELEC-E8115 | Micro and Nano Robotics D | 5 | III-IV |
| ELEC-E8116 | Model-Based Control Systems | 5 | I-II |
| ELEC-E8743 | Neurorobotics | 5 | III-IV |
| ELEC-E8125 | Reinforcement Learning | 5 | I-II |
| ELEC-E8126 | Robotic Manipulation | 5 | III-IV |
| CS-E4850 | Computer Vision D | 5 | I-II |
Basic information
Biämne på svenska: Reglerteknik, robotik och autonomiska system
Minor in Finnish: Säätötekniikka, robotiikka ja autonomiset järjestelmät
Code: ELEC3028
Extent: 20 credits
Language: English
Teacher in charge: Quan Zhou, Valeriy Vyatkin
Target group: All Aalto students
Prerequisites: Minor in Automation and Control Engineering in the BSc degree or equivalent knowledge.
Content and structure of the minor
The minor extends the bachelor-level minor of Automation and Control Engineering. It offers deeper understanding of modelling, estimation and control of dynamical systems. In addition students will study the development of distributed automation systems.
Learning objectives:
A student
- Is able to develop software for distributed automation systems
- Is able to model dynamical systems
- Is be able to design controllers for dynamical systems
The minor consists of 20 credits in total. Students may either choose to complete all compulsory courses or three compulsory courses and one elective course as given in the list below.
| Code | Course name | ECTS credits | Period |
|---|---|---|---|
| Compulsory courses - Choose a minimum of 3 courses (15 credits) from the list below | 15 | ||
| ELEC-E8101 | Digital and Optimal Control | 5 | I-II |
| ELEC-E8102 | Distributed and Intelligent Automation Systems P | 5 | I-II |
| ELEC-E8103 | Modelling, Estimation and Dynamic Systems | 5 | I-II |
| ELEC-E8740 | Basics of Sensor Fusion | 5 | I-II |
| Optional courses - Choose 1 course (5 credits) from the list below | |||
| ELEC-E8110 | Automation Software Synthesis and Analysis P | 5 | IV-V |
| ELEC-E8111 | Autonomous Mobile Robotics | 5 | IV |
| ELEC-E8001 | Embedded Real-Time Systems | 5 | I-II |
| ELEC-E8113 | Information Systems in Industry | 5 | I-II |
| ELEC-E8115 | Micro and Nano Robotics P | 5 | III-IV |
| ELEC-E8116 | Model-Based Control Systems | 5 | I-II |
| ELEC-E8743 | Neurorobotics | 5 | III-IV |
| ELEC-E8125 | Reinforcement Learning | 5 | I-II |
| ELEC-E8126 | Robotic Manipulation | 5 | III-IV |
| CS-E4850 | Computer Vision P | 5 | I-II |
Basic information
Biämne på svenska: Reglerteknik, robotik och autonomiska system
Minor in Finnish: Säätötekniikka, robotiikka ja autonomiset järjestelmät
Code: ELEC3028
Responsible professors: Quan Zhou, Valeriy Vyatkin
Extent: 20 credits
Language: English
Prerequisites: Minor in Automation and Control Engineering in the BSc degree or equivalent knowledge.
Content and structure of the minor
The minor extends the bachelor-level minor of Automation and Control Engineering. It offers deeper understanding of modelling, estimation and control of dynamical systems. In addition students will study the development of distributed automation systems.
Learning objectives:
A student
- Is able to develop software for distributed automation systems
- Is able to model dynamical systems
- Is be able to design controllers for dynamical systems
The minor consists of 20 credits in total. Students may either choose to complete all compulsory courses or three compulsory courses and one elective course as given in the list below.
| Code | Course name | ECTS credits | Period |
|---|---|---|---|
| Compulsory courses - Choose a minimum of 3 courses (15 credits) from the list below | 15 | ||
| ELEC-E8101 | Digital and Optimal Control | 5 | I-II |
| ELEC-E8102 | Distributed and Intelligent Automation Systems P | 5 | I-II |
| ELEC-E8103 | Modelling, Estimation and Dynamic Systems | 5 | I-II |
| ELEC-E8104 | Stochastic Models and Estimation | 5 | I |
| Optional courses - Choose 1 course (5 credits) from the list below | |||
| ELEC-E8110 | Automation Software Synthesis and Analysis P | 5 | IV-V |
| ELEC-E8111 | Autonomous Mobile Robotics | 5 | IV |
| ELEC-E8001 | Embedded Real-Time Systems | 5 | I-II |
| ELEC-E8113 | Information Systems in Industry | 5 | I-II |
| ELEC-E8115 | Micro and Nano Robotics P | 5 | III-IV |
| ELEC-E8116 | Model-Based Control Systems | 5 | I-II |
| ELEC-E8125 | Reinforcement Learning | 5 | I-II |
| ELEC-E8126 | Robotic Manipulation | 5 | III-IV |
| CS-E4850 | Computer Vision | 5 | I-II |
Basic information
Biämne på svenska: Reglerteknik, robotik och autonomiska system
Minor in Finnish: Säätötekniikka, robotiikka ja autonomiset järjestelmät
Code: ELEC3028
Responsible professors: Quan Zhou, Valeriy Vyatkin
Extent: 20 credits
Language: English
Prerequisites: Minor in Automation and Control Engineering in the BSc degree or equivalent knowledge.
Objectives and learning outcomes
The minor extends the bachelor-level minor of Automation and Control Engineering. It offers deeper understanding of modelling, estimation and control of dynamical systems. In addition students will study the development of distributed automation systems.
Learning objectives:
A student
- Is able to develop software for distributed automation systems
- Is able to model dynamical systems
- Is be able to design controllers for dynamical systems
Content of the minor
The minor consists of 20 credits in total. Students may either choose to complete all compulsory courses or three compulsory courses and one elective course as given in the list below.
| Code | Course name | ECTS credits | Period |
|---|---|---|---|
| Compulsory courses - Choose a minimum of 3 courses (15 credits) from the list below | 15 | ||
| ELEC-E8101 | Digital and Optimal Control | 5 | I-II |
| ELEC-E8102 | Distributed and Intelligent Automation Systems P | 5 | I-II |
| ELEC-E8103 | Modelling, Estimation and Dynamic Systems | 5 | II |
| ELEC-E8104 | Stochastic Models and Estimation | 5 | I |
| Optional courses - Choose 1 course (5 credits) from the list below | |||
| ELEC-E8110 | Automation Software Synthesis and Analysis P | 5 | IV-V |
| ELEC-E8111 | Autonomous Mobile Robotics | 5 | IV |
| ELEC-E8001 | Embedded Real-Time Systems | 5 | I-II |
| ELEC-E8113 | Information Systems in Industry | 5 | I-II |
| ELEC-E8114 | Manufacturing Automation Systems Modelling | 5 | IV-V |
| ELEC-E8115 | Micro and Nano Robotics P | 5 | III-IV |
| ELEC-E8116 | Model-Based Control Systems | 5 | I-II |
| ELEC-E8118 | Robotic Vision | 5 | III |
| ELEC-E8119 | Robotics: Manipulation, Decision Making and Learning P | 5 | I |