Disclaimer
This is a provisional document that still may be adapted. No rights regarding admission can be claimed from this document.
Introduction
This information is meant for students who currently follow a bachelor’s programme (different from Electrical Engineering) at the University of Twente and would like to continue with the Electrical Engineering master’s programme after their graduation.
In order to be able to successfully follow the Electrical Engineering master’s programme you should have prior knowledge about a number of topics that will be elaborated further during the programme. The exact requirements depend somewhat on the specialization you choose.
Below we give a checklist of topics that you should have covered, including a course in which the topic is addressed (or a list of subtopics). Using the course description that you can find in the course catalogue, you can check if you have enough prior knowledge about the topic.
How to obtain the required prior knowledge
There are several opportunities during and after your bachelor’s programme to follow courses, such that you will have the right prior knowledge to start your Electrical Engineering master’s programme:
- making the right choices from elective bachelor’s courses.
- choosing suitable courses during your minor programme (possibly at another university).
- following a premaster’s programme after your bachelor’s graduation.
Admission procedure
Please, submit a proposal, in which you indicate the specialization you want to choose and which courses you would like to follow, to the programme coordinator. If an agreement is obtained, you will be admitted immediately after your bachelor’s graduation, if you have taken your courses according to the agreement.
General prior knowledge requirements for all the specialisations
The following prior knowledge requirements are for all students who want to enter the Electrical Engineering master's programme with any specialisation:
Electromagnetic Fields
An introductory course like 191403070 Electromagnetism
Mathematics and Systems
Courses as described in the table below.
Specific requirements for the specialisations
The mentioned courses are examples of coures that contain the necessary content. Your courses may satisfy the requirements if they contain the same content.
Biomedical Signals and systems
Circuit Analysis and Electronics: 202300099 Instrumentation for Embedded Systems
Control Engineering: A basis course in Control (4EC) containing the following elements:
- Representation and analysis of dynamic systems in the s-domain: root locus
- Analysis of dynamic systems in frequency domain: Bode plots, Nyquist plots
- Synthesis of feed-forward and state-feedback: PID controller, lead and lag networks
- Feed-back control to reduce the sensitivity of a dynamic system for disturbances and parameter variations
- Stability and sensitivity analysis.
Random signals and noise (about 4EC): A basis course, containing the following elements:
- spectral density and correlation of deterministic energy/power signals & properties
- concepts of random processes and random sequences
- description in terms of joint distributions, moments, auto-/cross-correlation function, power spectral density; stationarity, ergodicity
- LTI-filtering of random processes
- complex baseband description of deterministic bandpass signals and systems
- signal space representation of data signals
- Gaussian processes white noise
- thermal noise in resistors and passive networks, equivalent noise temperature
- available gain and noise factor/figure of two-ports, noise in cascaded systems.
Programming: An introductory course in programming preferably in C++.
Computer Vision and Biometrics
No further requirements
Dependable Integrated Systems
Circuit Analysis and Electronics: 202300099 Instrumentation for Embedded Systems
Computers: 202500035 Computer Systems (excluding the Continuous Linear Systems part)
Programming: An Introductory course in programming preferably in C++.
Integrated Circuit Design
Circuit Analysis and Electronics: 202001120 Electric Circuits and 202500475 Electronics.
Random signals and noise (about 4EC): A basis course, containing the following elements:
- spectral density and correlation of deterministic energy/power signals & properties
- concepts of random processes and random sequences
- description in terms of joint distributions, moments, auto-/cross-correlation function, power spectral density; stationarity, ergodicity
- LTI-filtering of random processes
- complex baseband description of deterministic bandpass signals and systems
- signal space representation of data signals
- Gaussian processes white noise
- thermal noise in resistors and passive networks, equivalent noise temperature
- available gain and noise factor/figure of two-ports, noise in cascaded systems.
Communication Networks
- Computers: 201500252 Digital Logic and Computer Organization
- Programming: An Introductory course in programming preferably in C++
- Computer networks: 202300232 Network Systems
All the microsystems specialisations:
- NanoElectronics
- Devices for Integrated Circuits
- Lab-on-a-chip systems for Biomedical and Environmental Applications
- Integrated Optical Systems
- Measurement Signals an Systems
Circuit Analysis and Electronics: 202300099 Instrumentation for Embedded Systems
Physics and Device Physics: 202001143 Device Physics