Major code: ELEC3055

Entry points: Aalto University, Royal Institute of Technology (KTH), Technische Universität Berlin (TU Berlin), University of Trento (UNITN)

Exit points with specializations:
Aalto: Robotics and Artificial Intelligence
KTH: Intelligent Autonomous Systems
TU Berlin:Applications of Autonomous Systems
UNITN: Real-time perception, decision and control for autonomous driving
EURECOM: Sensing, Communicating and Processing Big Data for Autonomous Systems
ELTE: Computer Science for Autonomous Driving

 Professor in charge:Quan Zhou
 Other professors of the major:

Ville Kyrki

Arto Visala

Objectives of the programme

AUS is a combination of computer science and electronic engineering. During the programme, students will gain new skills in both areas. In computer science, relevant skills include Internet of Things (IoT), machine learning, artificial intelligence and robot vision. In electronic engineering, relevant fields are automation, control, embedded systems and communications. Students learn the latest theoretical knowledge and know how to apply their skills in practical real-life problems. Typical application areas of autonomous systems include autonomous vehicles, intelligent robots, industrial IoT and autonomous software systems.


 Entry year, Autumn semester

Compulsory major courses (24 ECTS)

CodeCourse nameCredits
SCI-E1010Introduction course for Master's students: Academic Skills1 ECTS
ELEC-C1320Robotics5 ECTS
ELEC-E8101Digital and Optimal Control5 ECTS
ELEC-E8103Modelling, Estimation and Dynamic Systems5 ECTS
CS-E3210

Machine Learning Basic Principles

5 ECTS

 LC-xxxx

Language course: Compulsory degree requirement,
both oral and written requirements

3 ECTS


Compulsory I&E Courses (7 ECTS)

CodeCourse nameCredits

CS-E5120

Introduction to Digital Business and Venturing

3 ECTS

CS-E5130

Digital Business Management

4 ECTS

Total: 31 ECTS

 Entry year, Spring semester

No compulsory major courses

Compulsory I&E Courses (17 ECTS)

CodeCourse nameCredits

TU-E4100

Startup Experience

9 ECTS

CS-E5140

Global Business in the Digital Age

4 ECTS

CS-E5430

ICT Innovation Summer School

4 ECTS


Optional major courses - select 12 ECTS

Code

Name

CreditsSemester
ELEC-E8105Non-linear Filtering and Parameter Estimation5 ECTSSpring
ELEC-E8111Autonomous Mobile Robots5 ECTSSpring
ELEC-E8115Micro- and Nano Robotics5 ECTSSpring
ELEC-E8123Networked Control Systems5 ECTSSpring
ELEC-E8126Robotic manipulation5 ECTSSpring
ELEC-E8408Embedded Systems Development5 ECTSSpring
ELEC-E5710Sensors and Measurement Methods5 ECTSSpring
MS-E2112Multivariate Statistical Analysis5 ECTSSpring
ELEC-E8127Special assignment in automation technologies1-10 ECTSAutumn/Spring

Total: 29 ECTS


Total for the whole year: 60 ECTS

Note for exit year at partner university: According to Finnish legislation, a master's thesis is a public document and its contents cannot be confidential. Therefore, the material of the thesis must be chosen so that it does not include any information that could be classified as a business secret of the financing company.

 Exit year, Autumn semester

Aalto specialization – Robotics and Artificial Intelligence


Compulsory courses (4 ECTS)

CodeCourse nameCredits
SCI-E1010Introduction course for Master's students: Career and working life skills1 ECTS

 LC-xxxx

Language course: Compulsory degree requirement,
both oral and written requirements

3 ECTS


Compulsory I&E Course (6 ECTS)

CodeCourse nameCredits

CS-E5425

I&E Study Project

6 ECTS


Specialisation Electives: select 20 ECTS over the two semesters

CodeCourse nameCreditsSemester
ELEC-E8104Stochastic models and estimation5 ECTSAutumn
ELEC-E8116Model-Based Control Systems5 ECTSAutumn
ELEC-E8125Reinforcement learning5 ECTSAutumn
ELEC-E7120Wireless Systems5 ECTSAutumn
CS-C3180Software Design and Modelling5 ECTSAutumn
CS-E4850Computer Vision5 ECTSAutumn
CS-E4890Deep Learning5 ECTSSpring
CS-E4830Kernel Methods in Machine Learning5 ECTSSpring
CS-E5710Bayesian Data Analysis5 ECTSAutumn

Total: 30 ECTS

 Exit year, Spring semester
CodeCourse nameCredits

EEA.thes

Master’s Thesis

30 ECTS


Total for the whole year: 60 ECTS