Code: ELEC3024

Credits: 65 ECTS

Responsible professors: Marko Hinkkanen, Matti Lehtonen, Antero Arkkio, Anouar Belahcen, Liisa Halonen, Jorma Kyyrä, Seppo Ovaska

Pääaine suomeksi: Sähköenergiatekniikka

Huvudämne på svenska: Elkraftteknik


Electrical power and energy systems form the backbone of societies. Intelligent systems, spanning from production to end-user, ensure optimal utilisation of resources — minimal impact on environment, maximal benefits for society. This major offers a firm theoretical base as well as practical tools and skills needed by engineers working on the field of electrical power and energy engineering. The field includes transmission, distribution, smart grid, and sustainable generation and utilisation of electrical power, as well as power-conversion devices such as motors, generators, and power-electronic converters. In order to prepare students for understanding complex and multidisciplinary problems of the field, the major is designed to be flexible and a systems perspective is emphasised. Courses include theoretical considerations, experimental work, industrial applications, and first-hand experience in real research environments. This major prepares students for current and future challenges faced by electrical energy and network companies, power manufacturing industry, and society. Students are well-prepared to pursue doctoral studies. Upon completion of the Major, the student will be able to:

  • Identify fundamental aspects and considerations for electrical energy systems
  • Develop applications for energy efficiency, integration of renewables, and distributed generation
  • Analyze and evaluate existing and future challenges in the field of electrical power and energy engineering
  • Design and analyze power systems or energy conversion devices
  • Understand in depth one of the focus areas (electromechanics, power electronic systems, power systems, or sustainable electrical energy)

Courses

Code

Course

ECTS

Teaching period

Year*

Compulsory courses: 35 ECTS

ELEC-E0100Introduction to Master’s Studies at Aalto ELEC0I-II1
ELEC-E8001Embedded Real-Time Systems5I-II1
ELEC-E8004Project Work10III-V1
ELEC-E8407Electromechanics5I-II1
ELEC-E8412Power Electronics5I-II1
ELEC-E8413Power Systems5I-II1

Choose one of the following:

ELEC-E8405

Electric Drives

5

I-II

1

ELEC-E8700

Principles and Fundamentals of Lighting

5

I-II

1
*Year = The year students are expected to study the course

CodeCourseECTSTeaching period

Optional courses: choose 30 ECTS or alternatively follow the instructions below

ELEC-E0200Master's Thesis Process0I-V

CS-E4800

Artificial Intelligence

5

III – IV

ELEC-E8110

Automation Software Synthesis and Analysis

5

IV-V

ELEC-E8111

Autonomous Mobile Robots

5

IV

CS-E4850

Computer Vision

5

I-II

ELEC-E8712

Design for Reliability

5

I-II

ELEC-E8730

Design of Electronic Equipment

5

I-II

ELEC-E8405

Electric Drives

5

I-II

ELEC-E8408

Embedded Systems Development 

5

III-IV

ELEC-E8113

Information Systems in Industry

5

I-II

MS-E2140

Linear Programming

5

I

CS-E3210

Machine Learning: Basic Principles

5

I

ELEC-E8114

Manufacturing Automation Systems Modelling

5

IV-V

KON-C2004

Mechatronics Basics

5

I-II

ELEC-E8115

Micro and Nano Robotics

5

III-IV

ELEC-E8116

Model-Based Control Systems

5

I-II

MS-E2112

Multivariate Statistical Analysis

5

III-IV

ELEC-E8123Networked Control Systems5III

ELEC-E8105

Non-linear filtering and parameter
estimation

5

III-IV

MS-E2139

Nonlinear Programming

5

II

CS-C3140

Operating systems

5

I

ELEC-D8710

Principles of Materials Science

5

III-IV

MS-E1600

Probability theory

5

III

ELEC-E8118

Robotic Vision P

5

III

ELEC-C1320

Robotics

5

I-II

ELEC-E8119

Robotics: Manipulation, Decision Making and Learning

5

I-II

ELEC-E5710

Sensors and Measurement Methods

5

IV-V

CS-C3180

Software Design and Modelling

5

I-II

CS-C3150

Software engineering

5

I-II, III-IV

ELEC-E7120

Wireless Systems

5

I


Alternatively, you can choose a study track to follow. 
You will find 
study tracks and recommended study schedules under Planning your studies.