Kies de Nederlandse taal
Course module: 201600234
Data:From the Source to the Senses (DSS)
Course info
Course module201600234
Credits (ECTS)15
Course typeModule
Language of instructionEnglish
Contact B.R.H.M. Haverkort
PreviousNext 3
O. Banos Legran
Lecturer E.J. Faber
Lecturer B.R.H.M. Haverkort
Contactperson for the course B.R.H.M. Haverkort
Lecturer M. van Keulen
Academic year2017
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Learning goals
[Hybrid Worlds] After completion of the project, the students:
  • Can construct a working installation that features physical visualization of data, integrating course content from the module;
  • Can use the design process of Creative Technology to organize their work and document process and installation;
  • Are able to give and receive constructive feedback for improvement of their work.
  • (Organisation) The students understand the design process of Creative Technology and use this to plan and organize their project.
  • (Documentation) Students can document the project goal, the design process, the planning, the installation and their individual contributions to the project in a complete and structured way.
  • (Feedback) Students can improve their installation and documentation by using feedback from supervisors and other students;
  • (Feedback) Students can give critical and constructive feedback to other project groups.

[Data Driven Applications] Students can:
  • understand the fundamental characteristics, benefits and disadvantages of data and the need to manage data.
  • can create models for data with a low to medium complexity.
  • can formulate SQL queries to retrieve and manipulate data.
  • can use SQL in an web application programming language.
  • can create webservices that store and retrieve data from databases
  • can prepare a dataset for visualization

[Data Visualisation] Students can:
  • apply and discuss a broad range of concepts and principles related to representing data visually and/or physically.
  • critically analyze data visualizations and 'physicalizations' of information, regarding a range of aspects, and suggest improvements / design alternatives.
  • develop creative and useful conceptual solutions for data visualization/physicalization problems.
  • successfully create data visualizations with several different tools.

[Internet Technology] Students can:
  • Understand the basic principles of layered network architectures, with application to the internet.
  • Understand the principles of application-level protocols (e.g., for the world-wide web. mail and multi-media streaming).
  • Understand the basic principles of widely used internet protocols protocols, such as TCP, UDP and IP.
  • Understand basic techniques used in and challenges of the internet-of-things.
  •  Are aware of security and privacy considerations in the internet.
  • Understand the basic principles of media access control and addressing at the data-link layer, for both wired and wireless networks.

[Biosignals and medical electronics (1 out of 2 option)] Students:
  • understand the nature and properties of signals and noise (sources) in electrophysiological measurement environments
  • can determine the demands of and develop measurement amplifiers (using OpAmps), subsequent signal conditioning and data analysis needed to obtain proper electrophysiological measurements.
  • have insight into some of the primary ethical and safety issues regarding electrophysiological measurements on humans.
  • have insight into visualization demands of electrophysiological data for clinical usage and experts in the medical field.

[Animated Data Narration (1 out of 2 option)] After completion of the course, the students: 
• can search and decide on a topic that relates to him/herself and is relevant, 
• can conduct a research from related sources for factual data,
• can combine various imageries and texts within various narrative structures to present the meaning of the data in the most efficient way,
• can sketch on and generate various proposals for the animation,
• can convey the message that is clearly understood by the intended audience,
• can analyse why the data of his/her animation narrates the story successful, or why not yet entirely, and
• can successfully apply the acquired knowledge and the trained skills in and outside this module.
Module 8 in the Creative Technology curriculum is the last joint component in the BSc program. Central theme in this module is data, both in the physical world and the digital world.
It starts and finishes with a project (“Hybrid Worlds”) in which students work, in groups of 10 to 15, on an installation that brings together the physical world with the cyber world. The idea is that in that project, data, in the broadest possible sense, is being used and processed, interactively or not, after having been brought together from various sources, finally is presented physically and interactively to a variety of senses (of an audience). In the project, students use all they have learned throughout the Create curriculum so far.
The theory components in this module all deal with the processing, handling and/or the visualization of (big) data.

Thematic components in Module 8
Hybrid Worlds
In the Hybrid Worlds project, knowledge and experience form the tracks New Media and Smart Technology get integrated in the design, implementation and actual building of an installation for Physical Data Visualization. Practically, an installation has to be developed containing phenomena from the physical and the virtual domain, acting either simultaneously or in alternation, where possibilities of interaction or interplay of both domains are explored. The usual design process of Creative Technology guides the project work planning and documentation of the
Data Visualisation
In recent years, there has been an explosion in the attention for “data visualization”, “information visualization” and “information graphics” (which are all related). In this course we will work on learning both conceptual and practical skills related to any kind of useful visualization of (any kind of) data. We will learn about principles of visual encoding, about the wide spectrum of different types of visualization, and about what makes a data visualization good or bad. We will learn skills for the critical analysis of data visualizations, for the generation of data visualization ideas, for the conceptual development of data visualizations, and for the actual making of data visualizations.
Data Driven Applications
The data drive applications theme teaches students the management of data with a focus on knowledge usable to build web applications. In the course the students will learn about data modeling using Entity Relationship models and their translation into database schemas. The students will implement a database and will learn about web access to this database. Further, together with knowledge about Internet Technology, students will learn how to send and retrieve data from other servers using Web Services. Finally, as the amount of data is often too complex for humans to transform them into information, students will also learn about data preparation methods for visualization.
Internet Technology
Modern communication systems are centered around concepts developed over the last 50 years, primarily in the context of the internet. We addresses the basic principles of modern networks systems, thereby addressing specifically their concrete application in the internet. The course follows a top-down approach, in that, starting from the overall network architecture, principles of the well-known (and widely used) application protocols are discussed, before diving deeper in the network technology. Subsequently, the notion of end-to-end transport protocols, host-to-host network protocols and link-layer access protocols (both for wired and wireless networks) are addressed. Special attention will be given to recent developments in internet-of-things.
Tutoring/ portfolio
During this module students orient themselves on the concept “coolness” and reflect on the coolness of their products/designs in order to become more aware of the coolness of their own products/designs.

Either New Media or Smart Technology
Finally, there is one “2-out-of-1 component”:
•        Biosignals and Medical Electronics (for Smart Technology),
•        Animated Data Narration (for New Media).

Biosignals and Medical Electronics (Smart Technology)
Electrophysiological measurements are nowadays more than ever available to (non)technical people. Heart rate, glucose, temperature, posture, skin conductivity, muscular electrical activity are examples of physiological quantities that can easily be determined since measurement techniques and tools have become cheaper, smaller, unobtrusive and ubiquitously embedded into both general-purpose and application-specific electronic equipment. The deepening part of Smart Technology will provide the students an introduction into this world of electrophysiological measurements and analysis. This course will cover among other topics: the origin of electrophysiological signals (action potentials); how to measure electrophysiological signals (e.g. EMG, ECG, EEG); how to design, specify and implement amplifiers and signal conditioning for acquiring electrophysiological signals; how to process electrophysiological signals to remove artifacts and extract relevant features; and how to analyse and classify the features as to draw conclusions or make decisions on the observed physiological phenomena.

Animated Data Narration (New Media).
The student will present a topic which he/she will conduct a research from related sources for factual data. The visuals and narrative need to collaborate in an efficient way to convey the message clearly to be understood by the intended audience. The end product will be an animation of between one to five minutes. The acquired knowledge and trained skills from these eight weeks can be applied in other courses of this module
Assumed previous knowledge
Programming skills (JAVA).

Smart Technology deepening part: Circuits & Electronics, Sensors (Smart technology module 5a)
Required materials
Hybryd Worlds (Project)
Data Driven Applications
Reader Internet Technology
Data Visualization
Smart Technology: biosignals and medical Electronics Neil Story, "Electronics, a systems approach", 5th edition, Pearson Education, Inc, 2013 ISBN-13: 9780273773276, ISBN-10: 0273773275
Recommended materials
Reader: biosignals and medical electronics
Instructional modes






Self study with assistance



Hybrid Worlds (project)

Report, installation, demonstration, portfolio

Internet Technology

Written test, assignments

Data Driven Applications

Written test, assignments

Data Visualization

Written test, assignments

Biosignals and Medical Electronics (ST)

Animated Data Narrration (NM)

Professional Development

Kies de Nederlandse taal