SHORT COURSE DESCRIPTIONS

The alphabetically ordered list below gives a first impression of the content of the courses within the programmes I-Tech and HCID-EIT. The italic marked courses are not to be chosen by I-Tech students. I-Tech student should always check this course form to find out which courses can be chosen. Behind some courses it shows '[Not for HCID-EIT students]', which means they can't be chosen by HCID-EIT students. See the Osiris Course Catalogue for more extended course descriptions. 

Advanced … (multiple codes) After having followed the corresponding introductory course, students can apply their knowledge and gain more advanced knowledge in Affective Computing (201600080), Brain Computer Interfacing (201600085), Conversational Agents (201800455), Human-Robot Interaction (201600086)Impact, Innovation and Entrepreneurship (201800230), Information Retrieval (201600083), Natural Language Processing (201600081), or Speech Processing (201600082), usually in the form of a research project in the context of actual research at the UT.

Advanced Computer Vision and Pattern Recognition (201100254) addresses advanced methods for image segmentation, object tracking and motion analysis in images, 3D computer vision and 3D reconstruction for e.g. face recognition. This course is a follow-up of Image Processing and Computer Vision.

Advanced Topics in Digital Marketing (201500090) deals with current theories, models and management approaches in the field of marketing in digital environments, and the importance of applied data science for the future marketer. Other focus areas include cognitive computing and neuromarketing.

Affective Computing (201600073) provides lectures on several research areas such as emotion theory, data annotation, vocal and facial expression analysis, social signal processing, and affect generation. Weekly assignments give students hands-on experience in collecting data, designing, developing, and evaluating an application that can recognize and generate affective/social behaviour.

Art, Mathematics & Technology (201800233) In this course, the mathematical principles behind various artistic disciplines are explained and serve as a starting point for the students' own works of art. The goal is to develop, with the aid of mathematics, the skills to organize visual or audible elements necessary to communicate concepts and experiences across various media.

Basics of Impact, Innovation & Entrepreneurship (201800229) [Not for HCID-EIT students]. In this course you will learn the basic theories and tools from entrepreneurship and apply them to an entrepreneurial problem. You will approach this problem with the design-oriented tool: Lean Start-up Methodology (LSM) by Maurya and you work according to an iterative process. This means that throughout the project you will improve each design step by going back and forth between steps until a satisfactory result is achieved.

Brain Computer Interfacing (201600078) introduces several BCI paradigms, signal acquisition, pre-processing techniques, classification methods and user feedback. Attention will also be paid to the integration of standard Human Computer Interaction methods into the BCI domain.

Brand Management (201700019) explores the various aspects of Brand Management with (guest) lectures and business cases, literature, group assignments and tests. Concepts and practices covered include the “Brand Equity” concept, brand elements, service branding, brand identity, updating & rejuvenation, private labels, and internationalization.

Business Development Lab for EIT I (201700119) has an Entrepreneurship component (2.5 EC) done in the context of the Innovation & Entrepreneurship (201600172) module of IBA. The second component is the Lean Startup Project Part I covering the process steps Problem Interview and Solution Development.

Business Development Lab for EIT II (201700120). in BDL II students perform two components. (1) Reflection on Intellectual Property rights issues and ethical issues of their proposed business. (2) Lean Startup Project Part II: solution interviews; final report that integrates all elements of the Lean Canvas.

Capita Selecta I-Tech (192166200).Students individually carry out research on a particular I--Tech-related topic (this includes, but is not limited to, a literature study), write a conference-style paper about it and present the results.

Computer Ethics (191612680).The course helps students develop insight into ethical implications of computers in society and the professional responsibility of computer scientists. It covers ethical aspects of the design, implementation and use of computer systems and software.

Concepts, Measures and Methods (201800226) deals with various methods from for observing and analysing human behaviour, such as diary studies, interview, contextual inquiry, hierarchical task analysis and coding of video materials. Students will apply these methods in a practical case of their choice.

Conversational Agents (201600077). Students study literature and make their own observations and analyses concerning various behaviours that are part of human communication, and work on an assignment involving the design, implementation or evaluation of a system for natural man-machine interaction.

Create the Future (192850830) [Not for HCID-EIT students]. In the course "Create the Future" the student learns to write and present future scenario's. Based on one or more of these scenario's a product, product range, product-service system or product context for the future is developed. The aim of the course is to develop a long term view, for instance for over fifteen or twenty years, on such a product or product-service system.

Data Science (201400174) consists of individual 2.5EC topics of which at least two must be chosen: (1) Data Preparation and Visualization, (2) Data Mining, (3) Semi-structured data, (4) Information Extraction Using Natural Language Processing, (5) Probabilistic Databases and Data Quality, (6) Feature Extraction from Time Series data, (7) Process Mining.

Deep Learning: from Theory to Practice (201800177) provides the mathematical background needed to better understand, analyse and apply models through algorithms at the heart of deep learning. It will equip students with new insights into deep learning theory with direct impact on deep learning applications. This course can only be done after successfully finishing Basic Machine Learning.

Design for Behaviour Change (201700008) focuses on the role of design at various levels of behaviour change. It covers topics in areas such as health and well-being, social design and sustainability. During the course, students iteratively develop interventions by following the provided strategies for behaviour change.

Designing Interactive Experiences (201600087) is about designing novel interactive installations that create a particular experience in the audience. Mixed student teams think of a new concept, create an installation, present it in an exhibition and document it in a movie.

Documentary Practice (201800231). You will compose a documentary about the real-world perspective of your own project (Master Thesis?). Visual reflection and a changed perspective through storytelling within your documentary will generate a broad view on the problem you are going to solve, instead of the product you are going to make.

Embodied Interaction (201500133) is about a new design-research field that studies the interaction between humans and artifacts and does so ‘through’ design. It asks how we may design mixed physical- and digital interactive products that seamlessly integrate with people’s everyday life and experience.

Empirical Methods for Designers (201500008) is about multivariate statistical techniques typically used in empirical studies of design and marketing research: choosing adequate multivariate techniques, conducting multivariate analyses using e.g. SPSS, interpreting and reporting the results. Critically reflecting on the assumptions made and the reliability and validity of multivariate analyses.

Final Project I-Tech (201900195) is an individual research project rounding off the Master's programme. It is carried out within the UT or at a company or another higher education institution, possibly abroad. It is preceded by Research Topics.

Foundations of Information Retrieval (201600076). Information Retrieval (IR) is the discipline that studies computer-based search tools such as web search engines. The course addresses fundamental IR concepts and approaches, as well as mathematical models IR; and it addresses IR applications such as multimedia retrieval and of course web search engines.

Foundations of Interaction Technology (201800234) aims to introduce the student into the world of Interaction Technology, by offering an overview of tools, methods and techniques, and applications of Interaction Technology, and by putting the student on the path towards integrating these, mainly through engaging and hands-on activities.

Global Strategy and Business Development (201600155) draws on the basics of a business model and its usefulness for a firm in today’s rapidly changing markets and global contexts. Topics include customer value analysis, customer relationships, value proposition, capabilities, resources and activities.

Human Centred Design (201800227) aims at understanding and applying a human-centred approach to the development of products, services and/or (interactive) systems. The focus is on defining the desired future use situation instead of just the product to be developed.

Human-Computer Interaction (201100126) introduces recent topics in Human-Computer Interaction (HCI). From a psychological perspective we elaborate how to design information technology to best suit the human user’s mind.   

I&E Basics: Innovation and Entrepreneurial Finance for EIT (201700180) introduces basic theories in innovation management and entrepreneurial finance (Innovation management: theory and models; New product development process; Entrepreneurial Finance: Theory and models, financial statements, venture financing cycle.) NB: as part of this course, students will have to follow some lectures from bachelor module 201500115 Innovation & Entrepreneurship.

I&E Study (201800525) aims at solving a real business problem on I&E topics (selected from the pool of EIT ICT business cases) by integrating theory, methods, and practice. It typically entails problem formulation, selection of tools, data collection, and the development of a recommendation.

Image processing and computer vision (191210910) provides the fundamentals for 2D signal processing applied to digital images and discusses techniques for extracting the information that is represented by digital images or image sequences.

Information Systems for the Financial Services Industry (194105070) is about the role of ICT and information systems in the financial services industry as a core infrastructure for service delivery (e.g. payment and investment services), a driver for change and an enabler for competitive service delivery (e.g. mobile services, online-banking, service-mass customization). Students examine state-of-the-art applications and the impact of IT on the business strategy.

International Entrepreneurship - A Strategic Technology Perspective (201600011) deals with the origins, processes, and results of entrepreneurial action in International New Technology Based Ventures, emphasizing a scientific approach to the subject. However, students will also interact with life technology entrepreneurs from the UT campus and elsewhere to reflect theory on practice.

I-Tech-project (201800236). Students apply and develop their knowledge of specific I-Tech themes and of software design, implementation and user testing to design, implement and evaluate a prototype of an interactive system.

Machine Learning I (201600070) gives an overview of the various machine learning techniques, their associated complexity and the application domain. We will also look into the theoretical aspects of machine learning techniques. Requires knowledge of AI and Probability Theory.

Machine Learning II (201600071). Students learn to apply advanced machine learning (ML) models and techniques to topics such as Human Behavior Understanding, Socially Intelligent Computing and Brain Computer Interfacing. Students work in pairs on a realistic case and methodologically go through the whole procedure from cleaning up data to final model selection and evaluation.

Mastering Tinkering (201800228) takes a look at the fundamental concepts underlying tinkering, a playful way of making and learning that can unleash a wealth of creativity, and be a very powerful tool for learning and gaining insight. Students learn the skills for designing creative sessions, formats and/or tool sets tailored for their own work and projects, as well as in external contexts.

Modern Robotics (191211060) teaches a basic knowledge on how to model 3D multi-body systems and control them, presenting state of the art techniques on robotics that can be used to model, control and analyse complex 3D systems such as manipulators, walking machines and flying robots.

Multi-Agent Systems (192320601) studies computer systems consisting of agents:  software or hardware modules able to pursue, in an autonomous and rational way, one or more goals. Topics include agent architectures, interaction, negotiation and communication.

Multisensory Design (201400180) teaches among other things how people perceive products through different senses (modalities), and how the different modalities interact, and how in the end a full experience is formed. Students practice the translation from a desired experience to a design for all modalities.

Natural Language Processing (201600074): forms an introduction into the automatic processing of human language, focusing on written language. Various NLP tasks and techniques are covered, as well as the main linguistic concepts.

Philosophy of Technology (201200063) deals with the emergence of the philosophy of technology as a field of philosophical inquiry and its central (social) problems, discussing its main philosophers, developments and themes.

REDI: Research Experiments in Databases and Information Retrieval (201300074): in this course, students do a research project on Databases and/or Information Retrieval. To follow the course in a useful way, students must have done one or more master courses with a Database or Information Retrieval topic.

Research Topics (201900194) [Not for HCID-EIT students] consists of writing a research proposal for the final project. The research proposal typically consists of an initial literature study, requirements analysis and/or small experiment, and aims at the statement of a clear research or design question and planning for the final project.  

Research Topics for EIT (201800524) consists of writing a research proposal for the final project. The research proposal typically consists of an initial literature study, requirements analysis and/or small experiment, and aims at the statement of a clear research or design question and planning for the final project.

Smart Industry (201800205) deals with knowledge management and artificial intelligence and their importance for realizing the idea of smart business. focuses is on how different types of knowledge can be extracted, digitally represented and processed in the context of business innovation. The course includes hands-on software experiences and demonstrations and presentations of practitioners.

Social Robot Design (201800235) focuses on methods from interaction design and applies them in a 'guided' project aimed at designing a robot solution in a specific social context. The course targets the current state of the art, investigates design principles, tools and methods for research, and looks into autonomy, interaction and sustainability of robotic solutions in the social domain.

Speech Processing (201600075). Together with Natural Language Processing this course forms an introduction into the automatic processing of human language. Here we focus on spoken language. Several speech processing methods and examples of running systems will be discussed.

Storytelling Through Oral Presentation (201800336) teaches you to tell others the story of your project, your product or yourself in face-to-face communication. You learn to build an immersive narrative, specifically targeting a designated audience. This includes the use of emotional devices, audio and visual support and how they add to getting a message across. Max. 12 students can participate.

Storytelling Through Sound (201800232) focuses on sound as the main medium of communication for a narrative. You will get the chance to create your own narrative and experience the impact of well-designed sound. The final result is a fully autonomous audio story, which you have designed and constructed yourself.

Strategic Technology Management and Innovation (201600015) focuses on the strategic interrelationships of product/service family design, organization design, and processes for managing innovation and knowledge within and between firms. You learn how these components interact in determining a firm’s success.

Tele-interaction in Robotics (201800225) provides an introduction to tele-manipulation, discussing among other things human factors in telemanipulation and different types of telemanipulation hardware, various control schemes, design of geometric springs, and issues such as the effect of time delay on the perception of the operator and task performance.

Trends in Human Robot Interaction Research (201600079) introduces the challenges and requirements connected to human-robot interaction research. In parallel to the lectures, students work on a series of assignments that result in each student submitting a draft proposal on one of the explored topics.

Ubiquitous Computing (192111301) introduces methods and concepts concerning the unobtrusive, disappearing, or invisible computer. Topics include ubiquitous computing in home, office, well-being, etc.; architectures, sensor networks, tangible interfaces, internet of things, and pervasive systems.

Virtual Reality (201000201) aims at exploring the possibilities of virtual tools (from simple displays to full-blown 3D environments), focusing on integration and combination of techniques for stimulating the various human senses.