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Media & Knowledge Engineering – (M.Sc.)
Delft University of Technology
Electrical Engineering, Mathematics and Computer Science
| Application Deadline: | April 1 (EU and Non EU) | ||
| Annual Tuition Fee: | ≈ € 1,713 ≈ € 12,500 (non-EEA) | ||
| Location: | Delft / Netherlands / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | September |
| Educational Form: |
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| Education Variants: |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
Location of Delft University of Technology
MSc in Media and Knowledge Engineering
In today’s society, there is a growing flood of digital data from sources ranging from conventional media like television and telecommunications systems, to PCs and the internet, to a multitude of electronic, biochemical, medical, industrial and other sensing devices. This data may be in the form of audio and speech signals, digital images and video, text, and bio-molecular data, to mention just the most prominent and familiar examples. But the utility of the data is dependent on the ease with which it can be accessed and processed. Accordingly, the quality and elegance of the user interface, the intelligence with which data can be represented, and facility with which users can interact with the machines are increasingly important.
Media and knowledge engineering (MKE) is all about the design of the tools and applications at the core of data access and processing. Media and knowledge engineers are indispensable for the design of applications, for example, for medical visualisation to improve the production and fit of prostheses, the development of algorithms that improve hearing aids so that users are better able comprehend speech and engage the world, and for the design of intelligent systems that support negotiations processes.
What you will learn
Media and Knowledge Engineering educates engineers who are able to design and build intelligent systems for information and knowledge processing and who are able to design, realize and test properly working intelligent user interfaces.
Bioinformatics track
Bioinformatics involves research, development, and the application of computational tools and approaches to expand the use of biological, medical, behavioural and health data, including the acquisition, storage, organisation, archiving, analysis, and visualisation of such data. Bioinformatics includes computational biology, that is, the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques with applications in the study of biological, behavioural, and social systems. In Bioinformatics, mathematical, statistical and computational techniques are used to extract meaning from biological, biochemical and biophysical data. Bioinformatics takes concepts and methods from both mathematics and computer science and applies them to problems relating to biology, molecular biology and biochemistry.
Contents
Programme
The MKE master programme is a two-year programme (120 EC) consisting of general courses, a specialisation, and a thesis project.
Programme – in detail
Fundamentals
Students acquire a general background in the programme by completing compulsory courses that provide the fundamentals for the description of deterministic and stochastic signals, and analysis and interpretation of multivariate datasets. These fundamental courses also provide students with an understanding of empirical research methods and practical experience with quantitative data analysis methods. Finally, these courses introduce students to a number of fundamental issues regarding the credibility of scientific and technical claims and the certainty (or uncertainty) and reliability of scientific and technical knowledge.
The ‘Fundamentals’ component also provides students with insights into the three specialisations (Pattern Recognition, Visualisation and AI Techniques) during a colloquium. During this colloquium, each participating group discusses its research challenges. The compulsory programme also encompasses basic courses in the specialisation fields.
Specialisation
In addition to these courses, students select at least two courses in a chosen specialisation and additional courses from the MKE offerings or from other master’s programmes offered by the Faculty of Electrical Engineering, Mathematics and Computer Science.
A further requirement of the specialisation is to participate in a seminar or to complete a literature assignment to gain familiarity with the current state of research within the field of specialisation.
Students who are not required to complete additional courses to make up for gaps at the conclusion of their Bachelor’s programme will have the opportunity to take 2 or 3 elective courses from other faculties or universities.
Master’s project
A significant portion of the Master’s programme is devoted to the Master’s thesis project, during which each student has the opportunity to demonstrate that he or she is able to contribute to state-of-the-art research or solve an engineering problem.
During the first part of the Master’s project, students familiarize themselves with the subject and precisely describe their proposed activity. They then elaborate on the subject, implement proposed solutions and evaluate the results. The project is concluded with a report and a presentation for a broader audience and a defence before the thesis committee.
Topics are chosen in consultation with staff members and are, in general, related to ongoing research or to ongoing collaborations with external companies and institutes. The project can be completed within the group, within a company or even abroad.
Examples of Master’s thesis projects: Negotiation
Negotiation is a challenging application involving the study of emotions, conflict management, preferences, and strategic reasoning from both a usability perspective and an artificial intelligence perspective. In this project we are working on all those aspects with an overall aim of creating negotiation support systems for both the novice negotiator and expert negotiators. Furthermore, we are also building negotiating agents for e-commerce applications. Students are welcome to join this project. Information is available at: Contact: Catholijn Jonker
Virtual Reality
In collaboration with clinical psychologists, an experimental system is being developed to serve as a test bed for treating phobia patients in virtual reality. Important issues are the features of the virtual worlds (therapist and patient with different user interfaces), interaction styles and locomotion techniques. Virtual environments are being developed for patients of acrophobia, fear of flying (Schiphol airport), and social phobias (Rotterdam metro). Contact: W.P. Brinkman.
For examples of other MMI master thesis projects, see:
Simulation of interactions between tracked real-world objects and user-controlled virtual objects
In this project a racing game has been developed in which the player is racing within a virtual car against a real racing car video captured on an existing racing track. To avoid the real world racing car i-driving through the virtual car while overtaking, the path of the real car is adjusted to avoid collision. An accurate prediction of both the future state of the real world and the users’ virtual cars is needed to plan these manipulations ahead of time. Different prediction methods are being researched, for both the real-world objects and the user object.
Fast and Reproducible Fibre Bundle Selection in DTI Visualisation
Diffusion Tensor Imaging is often used to visualize neural fibre bundles in the brain. These bundles contain a wealth of information about the connective pathways between different areas in the brain. In this project, a technique is being employed in which three boxes are used to select the relevant fibres (see figure). Only the fibres that pass through all three boxes are considered to be part of the nerve bundle. These fibres are shown here in opaque colours. The white transparent fibres show the fibres that pass none of the boxes, while the coloured transparent fibres pass through at least one box (each box has its own specific colour).
For additional computer graphics Master’s thesis projects, see:
Single-Channel Speech Enhancement
With the rapid growth of mobile, digital voice communications systems (including devices such as mobile phones, hearing aids, and automatic speech recognition systems), there is an increasing demand for these systems to work well in acoustically noisy environments. Since most such systems are designed for nearly noise-free input speech signals, they do not perform well when the input signal is degraded by acoustic background noise. In this project, students are challenged to investigate and implement solutions to reduce the background noise level in the noisy speech signal using a speech enhancement algorithm as a pre-processing step before the speech signal enters the digital voice communications system.
Fast road sign recognition
The aim of this thesis project, carried out in collaboration with Prime Vision, a company based in Delft, is to investigate pattern recognition algorithms capable of fast classification of road signs in grey-scale images. Starting point for the research is the listed literature reference. The assignment consists of a literature survey, implementation of algorithms described in the article and a further investigation of possible improvements on the system.
Specialisations Information Processing Information Processing deals with signal processing, information retrieval, security and privacy, pattern recognition and computer vision. It focuses on theory and applications related to information extraction, and the analysis and the interpretation of data of all sorts, such as sound, images, video, text, and biological data.
Computer Graphics (CG) Computer Graphics is the technology of modelling and displaying 3D virtual objects, for both engineering applications as well as gaming and animation. Visualisation deals with the presentation of 3D data originating from scanners (such as medical imaging devices) or data derived from computer simulations. The purpose of visualisation is to provide insight into all sorts of phenomena.
Man-Machine Interaction (MMI) In Man-Machine Interaction, the approach is to utilise a combination of artificial intelligence and cognitive engineering to study and design adaptive intelligent systems, with an emphasis on the interaction of human users with such systems.
The focus with respect to artificial intelligence is on agent reasoning and programming and computational intelligence. In cognitive engineering, we focus on human-centred design and human perception
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Requirements
Generally students who wish to apply for admission to the MSc Programme in Media & Knowledge Engineering must hold a BSc degree (or equivalent) in Electrical Engineering, Computer Science or have met the standard requirements thereof. Students who hold a bachelor's degree in a related field may apply to the programme but, if admitted, they will be required to follow a specific programme to make up for any deficiencies.
In addition, candidates are expected to have:
* A Grade Point Average (GPA) for the BSc programme of at least 75% of the scale maximum.
* A Graduate Record Examination (GRE) score of at least 450 verbal/550 analytical/650 quantitative.
* Proof of proficiency in the English language:
* a TOEFL score of at least 550 (paper-based test) or
* 213 (computer-based test), or an IELTS (academic version) overall Band score of et least 6.0.
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.0 |
| Cambridge English: Advanced (CAE): | Grade C (Score: 60) |
| TOEFL Paper-based: | 550 |
| TOEFL Computer-based: | 213 |
Accreditation
NVAO independently assesses the quality of higher education in Flanders and the Netherlands. All of TU Delft’s educational programmes are accredited by NVAO and therefore meet the European quality standards. Alongside the national accreditation system, many of TU Delft’s education programmes are recognized as substantially equivalent to the best programmes in the USA by the American Board of Engineering & Technology (ABET).
Ask a Question
You can contact Dr.ir. J.F.M. Tonino to ask a question about Media & Knowledge Engineering at Delft University of Technology.
Relevant Links
- Programme website
- Department website
- Information on studying at TU Delft
- University website
- StudyinHolland.nl : Information on why and what to study in The Netherlands.
- Student Experiences about The Netherlands - STeXX.eu
- StudyinHolland Youtube Channel
- Nuffic - Netherlands organisation for international cooperation in higher education
- Nuffic Grand Finder
- Nuffic Study Finder
- Holland Alumni network
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