The last year of the BSc programme in Electronics and IT runs in English, and international students may be admitted for the two semesters. The programme is focused on theoretical, methodological and practical skills acquired through problem-based learning.
5 ECTS - Signal Processing
5 ECTS - Modelling and Control Engineering
5 ECTS - Communication in Electronic Systems
Analysis and filtering of signals is a discipline prerequisite for all specialisations in electronic systems. The discipline is used in automation, communications, multimedia systems, etc. The purpose of the course in Signal Processing is for you to understand and be able to apply key concepts, theories and methods of analysis and filtering of analogue and digital signals.
Feedback can be understood as the ability to use measurement of the status of a system to correct for errors, and thereby achieve a desired dynamic response for the given stimuli, such as sheets and noise. This means that by designing a feedback – a regulator – a system may be forced into a specific desirable behaviour. The purpose of the course in Modelling and Control is to enable you to use and set the controllers by using frequency domain methods, and to configure various controllers and systems described by transfer functions.
Electronic systems increasingly communicate with their surroundings as well as with other electronic systems, and therefore, it is important that you understand how such communication takes place, and how different technologies and protocols influence how it is carried out. The purpose of the course in Communication in Electronic Systems is to provide you with a basic, but operational knowledge of communicating systems, including hardware, models and protocols. This will enable you to analyse problems related to communicating systems and to make relevant design choices. Having completed the course, you will be able to develop and implement simple applications communicating via networks.
Project; 15 ECTS
Digital and Analogue Systems in Interaction with the Surrounding World
The purpose of the project work on the 5th semester is to further develop your skills and competences within digital and analogue electronics obtained during the first two years of your BSc programme. By working with the project, you and your fellow students will in addition learn to apply these skills in a complex reality. The overall objective is for you to obtain an understanding of the interaction between computers and their surroundings via various kinds of sensors and actuators, including modelling and control of physical systems, digital signal processing and communicating systems. Upon completion of the project, you should be able to analyse, design and implement systems involving both physical elements and computers.
5 ECTS - Introduction to Probability Theory and Stochastic Processes
5 ECTS - Matrix Calculations and Convex Optimisation
The course in Introduction to Probability Theory and Statistics intends for you to develop the engineering intuition of the fundamental concepts and results of probability, statistics, and stochastic processes. Upon completion of the course, you are able to apply the taught material to model and solve simple engineering problems involving randomness.
Engineering systems and design problems can often be described, analysed and manipulated using matrices and vectors. Moreover, tractable solutions to design problems can be obtained by casting the design problems as optimisation problems. For the class of linear and quadratic problems, the solutions can be obtained by solving systems of equations. In computer programs, this is achieved via matrix factorisations. For the larger class of convex problems, no closed-form solution may exist and numerical methods must be applied. This course in Matrix Calculations and Convex Optimisation aims at teaching numerically robust methods for solving systems of equations and, more generally, convex optimisation problems, including also standard constrained problems.
You may choose between the following themes:
20 ECTS - Control Engineering
20 ECTS - Communication Systems
20 ECTS - Imbedded real-time Signal Processing
20 ECTS - Information Processing Systems
The project must be based on a physical process. It can be mechanical, thermal, electrical, biologic or chemical. The project must include development of a dynamic model of the process, and this model must be adjusted and verified through measurements. You will design and implement classic controllers on the process using the dynamic model. The controllers must to be evaluated and compared to the demands. Upon completion of a project within Control Engineering, you will among others be able to understand and implement dynamic modelling and conduct classic controller design. You will furthermore be able to analyse and apply controller design methods based on root locus, and to evaluate industrial control and supervision methods.
Apart from communication between people (e.g. a phone) or communication between machines (e.g. web browsing), communication also involves indispensable subsystems which consist of many different distributed components. This could for instance be home automation such as centralised control of lighting or an advanced burglar alarm. Such a communication system must meet several demands; data must arrive timely in order for the control process to be able to adapt, and data must be reliable despite the possible transmission errors in the connections. If you choose to do your BSc project in Communication Systems, you will be working with a system such as the ones mentioned. You will analyse the chosen system and evaluate it according to performance, design, etc.
An embedded system is an electronic system which is based on a computer, but the system is not a computer in itself like for instance a pc. A person interacts with hundreds of embedded systems during the course of a normal day; wireless communication (mobile), sound and video, games, household machines, satellite-based systems, etc. Typically, the embedded system works by an analogue signal being registered by a sensor, is sampled and analysed or digitally modified. Subsequently, the signal is converted back to analogue. The really interesting aspect is that all of this must take place in real time; a lot of things have to happen quite fast. If you choose to do your BSc project within this theme, you will be working with a real problem or system which you will specify, design, simulate, implement, test and document.
Information Processing Systems
Automatic interpretation of measurable signals is basic within modern engineering. For instance, there’s recycling of bottles. When you place a used bottle in the reverse vending machine, a sensor (here a camera) takes a photo of the bottle and automatically identifies it via its shape, colour, dimensions, etc. This identification is then passed on to a database where it is compared to others, and the system subsequently makes a decision as to the amount of refunded deposit. The system is also able to detect whether the bottle is broken and thus non-refundable. A project within the theme of Information Processing Systems could be about a system such as a reverse vending machine or other systems such as parking ticket system or automatic access control via fingerprint or face recognition. Or what about automatic recognition of road signs as a step towards the automatic car?
Upon completion of the 6th semester, you are BSc in Electronics and IT.
Further information on courses and regulations, etc., may be found in the curriculum for Electronics and IT.
With a BSc degree in Electronics and IT from Aalborg University, you have seven different postgraduate programmes in engineering to choose from (all are in Aalborg unless otherwise specified):
- Communication Technology
- Control and Automation
- Innovative Communication Technologies and Entrepreneurship (Copenhagen)
- Lighting Design (Copenhagen)
- Signal Processing and Acoustics
- Sound and Music Computing (Aalborg & Copenhagen)
- Vision, Graphics and Interactive Systems
Please click on the individual link to learn more about each programme.
4th best in the world
If you choose to study engineering at Aalborg University, you will be studying at one of the best universities in the world. In March 2018, our engineering programmes were named best in Europe and fourth best in the world according to a report commissioned by the Massachusetts Institute of Technology (MIT).