Programme in Detail
The WiCoS programme is spread over 2 years with 4 quarters per year. Your courses will evolve from the more general ones in the common core in the beginning of the programme to more specialised in the second quarter and beyond, and finally your thesis project. See below.
| First Year (60 EC) | |||
| 1st quarter | 2nd quarter | 3rd quarter | 4th quarter |
| Main core courses | Main core courses | Main core courses | Track core courses |
| Track core courses | Track core courses | Specialisation courses | |
| Specialisation courses | Specialisation courses | Specialisation courses | |
| Second Year (60 EC) | |||
| 1st quarter | 2nd quarter | 3rd quarter | 4th quarter |
| Free elective courses | Graduation project (45 EC) | ||
| Main Core (18 EC) | ||
| An individual exam programme (IEP) of the track Wireless Communication and Sensing consists of the parts as indicated below. Note that course loads are expressed in EC, with 1 EC indicating nominally 28 hours of active study, including class and self-study. |
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| 1. Compusary courses | ||
| Profile Orientation and Academic Skills | 3 EC | |
| Systems Engineering | 5 EC | |
| 2. Main core courses Choose 2 out of 8 (more is allowed) | ||
| The so-called main core consists of a set of fundamental courses in EE, of which you are required to select 3. Each of them is 5 EC. These courses aim to strengthen your general fundamental knowledge and skills. One of the reasons for this setup is that you will be better able to work in multi-disciplinary teams. Most of these courses have an assignment that will allow you to apply the theory of the course in the direction of your chosen track, i.e. WiCoS. These courses are all in the 1st quarter. |
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| Analog Circuit Design Fundamentals | 5 EC | |
| Control System Design | 5 EC | |
| Electromagnetics | 5 EC | |
| Machine Learning for Electrical Engineering | 5 EC | |
| Measurement and Instrumentation | 5 EC | |
| Networking | 5 EC | |
| Statistical Digital Signal Processing and Modeling | 5 EC | |
| Wireless Systems for Electrical Engineering Applications | 5 EC | |
| 3. Track core (select 3 out of 5) | ||
| The WiCoS track core consists of a number of broadly applicable fundamental courses as listed below, of which you are required to select at least 3. Generally, these courses are in the 2nd and 3rd quarter. Most courses are 5 EC. |
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| Advanced Electromagnetics | 5 EC | |
| Estimation and Detection | 5 EC | |
| Fundamentals of Wireless Communications | 5 EC | |
| Performance Analysis | 5 EC | |
| Propagation and Scattering of EM waves | 5 EC | |
| 4. Specialisation courses (at least 24 EC) | ||
| You are required to take at least 24 EC of specialisation courses (about 4 to 5 courses). The specialisation courses as offered by the Wireless Communication and Sensing related research groups are shown below. However, in consultation with the master coordinator and/or your tentative thesis supervisor, you can take any EE or CE or even any EEMCS course as a specialisation course. You can also take extra track core courses (or common core courses) in your specialisation space. |
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| Advanced Practical I.o.T. and Seminar / An Introduction to Wavefield and Magnetic Resonance Imaging / Antenna Systems / Applied Convex Optimization / Array Processing / Data Compression: Entropy and Sparsity Perspectives / Distributed Signal Processing / High Frequency Wireless Architectures / Integrated Circuits for RF/Wireless Applications / Introduction to UWB technology, systems and applications / Machine Learning, a Bayesian Perspective / Mobile Networks / Object classification with radar / Quasi Optical Systems / Radar I: From Basic Principles to Applications / Radar II: Theory and System Design / Sensor Signal and Data Processing / Spectral Domain Methods in Electromagnetics / Superconducting Astronomical Instrumentation / Telecom Business Architectures and Models / Telecommunication Network Architectures |
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| 5. Free Electives (15 EC) | ||
| In the free elective space, you can take any MSc level courses from TU Delft (and from other universities, only when taken during your enrolment in TU Delft). At most 15 EC of these can count toward your IEP (Individual Exam Programme). Some of many possibilities are listed below. |
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| Business development lab (short) | Cyber Risk Management | Digital Business | Entrepreneurship: basic course | Research Project at University | Research Project at Industry | I&C Architecture Design | I&C Services Design | Integrated Design of I&C Architectures | Internship | Project entrepreneurship |
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| Thesis Project (45 EC) | ||
| The thesis project is the last study unit of the programme and serves to prove that the student has acquired the academic competencies of a Master of Science. The project involves a research or design task with sufficient academic level. The project may be executed within a research group at TU Delft, or in a suitable research institute or company. The project must be carried out with a systematic approach and should include all phases of a research or design project: analysis, modelling, implementation/construction and validation/evaluation. You will execute the thesis project independently, guided by a daily supervisor and under the responsibility of a full or associate professor. | ||
For more information, visit studyguide.tudelft.nl
WiCoS Profiles – Consistent Sets of Courses for Specialisation Directions
Your individual exam programme (IEP) should be agreed upon with your thesis professor (supervisor). Naturally, the supervisor would advise you to take certain courses so that you are better prepared for a thesis project in his/her research direction. In order to help you to understand how certain courses work together for certain research directions and guide you in making the relevant choices, please find a number of profile packages below. These profiles typically specify a number of highly recommended courses that more or less define the profile, and a larger number of additionally relevant courses. You are not required to take all these courses; it is just a shortlist of potentially relevant courses. Actually, you really have the opportunity to fill in your own IEP in a broader way than just focused on a specific profile. It is therefore important to discuss your IEP at an early stage with your (tentative) thesis supervisor and negotiate your wishes.
Profile: Applied Electromagnetics
The profile Applied Electromagnetics focuses on the education of students on various theoretical and practical aspects of electromagnetic fields and radiation. The education deals with an extensive introduction to the electromagnetic theory which is necessary in most fields of electrical engineering, such as communications, antenna, radar, microwave engineering. The most useful mathematical tools for the analysis of electromagnetic problems and antenna are explained with parallel emphasis to their application in real-world problems.
Within this specialisation, you will learn about the physical phenomena behind generation, guided propagation, transmission, and reception of electromagnetic waves, as well as the principles of radiation from antennas, typical antenna structures, and antenna design skills.
Profile courses:
| EE4C05 | Electromagnetics |
| EE4510 | Advanced Electromagnetics |
| EE4580 | Quasi Optical Systems |
| EE4620 | Spectral Domain Methods in Electromagnetics |
| EE4730 | Wavefield imaging |
Contact person: Prof. A. Neto (THz Sensing group)
Profile: Quasi Optical Systems
The profile Quasi Optical Systems focuses on the education of students on various theoretical and technological aspects for the development of systems operating at frequencies >100GHz with emphasis on quasi-optical architectures and electronic based front-ends.
Students in within this specialisation will learn basic skills in quasi-optical antenna design, high frequency EM analysis techniques, integrated technology, and high-frequency measurement techniques. As a student you will be able to work in new emerging THz applications in the area of sensing and communications.
Profile courses:
| EE4C05 | Electromagnetics |
| EE4C13 | Wireless Systems for Electrical Engineering Applications |
| EE4510 | Advanced Electromagnetics |
| EE4725 | Quasi Optical Systems |
| EE4730 | High-Frequency Wireless Architectures |
Contact person: prof. N. Llombart (THz Sensing group)
Profile: Astronomical Instrumentation
This profile focuses on education and research in the field of experimental astronomy. You will learn about new types of astronomical instruments that take advantage of superconducting circuits to enable us to observe galaxies in the early universe at sub-terahertz frequencies. The specialization will cover superconducting electronics, nanotechnology, interaction of light and matter, and their application to extreme sensitivity detectors, such as microwave kinetic inductance and hot electron bolometer mixers. TU Delft, in close collaboration with SRON Netherlands Institute for Space Reasearch, are world-leading in the technology of both of these detectors, hence the students can interact with the true state-of-the art of superconducting astronomical detectors with ample live examples.
Profile courses:
| EE4C05 | Electromagnetics |
| EE4510 | Advanced Electromagnetics |
| EE4580 | Quasi Optical Systems |
| EE4745 | Superconducting Astronomical Instrumentation |
Contact person: prof. J. Baselmans (THz Sensing group)
Profile: Microwave Sensing and Radar
The radar profile focuses on education on physical and signal processing foundations of remote sensing by exploiting electromagnetic waves in a number of societal important applications such as autonomous driving, safety and security and next generation wireless telecommunication systems. It covers electromagnetic wave propagation and scattering, basic principles of electromagnetic sensors for near-, intermediate- and far-field sensing, as well as algorithms and methods that enable detection and parameter estimation of objects from measured electromagnetic fields. Special attention is given to such areas as antenna systems and radar front-ends (including 5G and beyond phased arrays and ultra-wideband antennas), waveform agility (adaptive selection of efficient sensing waveforms), signal processing algorithms for radar imaging, advanced detection, classification and tracking of different objects.
The profile covers a wide range of microwave systems from phased array radar and distributed MIMO radar systems up to automotive radar and microwave vision systems. The societal applications supported by this profile are: autonomous driving and traffic control, Earth monitoring, weather nowcast, medical imaging, and public safety and security.
Profile courses:
| EE4C05 | Electromagnetics |
| EE4565 | Propagation and Scattering of EM Waves |
| ET4169 | Radar I: From Basic Principles to Applications |
| ET4175 | Radar II: Theory and System Design |
Contact person: Prof. A. Yarovoy (MS3 group)
Profile: Physical Layer Signal Processing for Communication
This profile focuses on physical layer aspects of 5G and beyond wireless communication systems, i.e., how to transport information through a physical radio channel. It covers the fundamental issues of modulation, coding, channel estimation, equalization, and detection of the transmitted data. A particular focus is on signal processing for multi-antenna systems, such as adaptive beamforming, (blind) source separation, and Massive MIMO. Current research topics focus also on using the communication signal for localization, with applications to indoor localization, sensor networks, and satellite swarm navigation.
Profile courses:
| EE4C03 | Statistical Digital Signal Processing and Modelling |
| ET4358 | Fundamentals of Wireless Communication |
| ET4386 | Estimation and Detection |
| ET4147 | Signal Processing for Communications |
Contact persons: Prof. A.J. van der Veen (CAS group), Prof. G.J.T. Leus (CAS group). Dr. G.J.M. Janssen (CAS group)
Profile: Network Design & Management
This profile focuses on the design and evaluation of wireless communication protocols and programmable network architectures. This profile combines the study of domain specific topics in networking (protocols, performance evaluation), control (distributed algorithms, new AI methods in network management) with the study of more fundamental concepts of network science (graph theory, stochastic analysis). You will learn to apply these concepts in developing new network applications (5G, IoT) and more general in critical infrastructures (electricity grid) and e.g. network models of the human brain.
Profile courses:
| EE4C06 | Networking |
| CS4195 | Modeling and Data Analysis in Complex Networks |
| ET4396 | Mobile Networks |
| IN4341 | Performance Analysis |
Contact persons: Prof. Piet Van Mieghem (NAS group)