Doctoral Education at IDE
The TU Delft requires all PhD candidates in the Graduate School to not only develop their research skills through their research project, but to also work on their personal and professional skills with the Doctoral Education (DE) programme. Skill categories As a PhD candidate you are required to complete the Doctoral Education programme to an amount of 45 GS-Credits. The Doctoral Education programme is divided into three skill categories: Discipline related skills (15 GS credits) The discipline related skills category focuses on giving you a greater breadth and depth of knowledge in the field of your doctoral research. Research skills (15 GS credits) The focus of the research skills category is to improve your ability to conduct scientific research, and improve your skills needed for a role as a researcher in an academic environment. Transferable skills (15 GS credits) The transferable skills category focuses on personal and professional development, which will help you now and in your future career. More information about the Doctoral Education programme can be found here . Doctoral education activities Applicable DE activities UGS Courses Learning on the job Other courses Discipline related skills - - X Research skills X X X Transferable skills X - X Discipline related skills IDE Graduate School IDE Research Course The IDE Graduate School has developed her own PhD course in the 'Discipline' related skills area, the IDE Research Course, which is mandatory for all IDE PhD candidates. More information on this course is available at the IDE Research Course page . PhD colloquia About 4 times a year the IDE PhD Council organises a colloquium to give PhD candidates of the IDE faculty the opportunity to share their work and get to know each other. The aim is to have 2 presenters from each department who will present an overall impression of their work or a more specific project he/she is currently working on. The presentations take 5-10 minutes and are followed by a 5-minute Q&A. For presenters it’s a great opportunity to practice their presentation, to get some feedback, or to start some nice discussions with your peers. For attendees it’s a nice opportunity to meet their peers, learn about the interesting work they are doing and to participate in interesting discussions. Presenters can obtain 1 GS credit for ‘addressing a small audience’ (learning on the job activity) and attendees can obtain 0.5 GS credits per two colloquia (max. 2.5 GS credits). Please use this form to register your attendance and to claim the GS credits. PhD Day PhD Day is an annual day organized by the IDE PhD Council for all IDE PhD candidates. Participants connect, network and share research interests. The day is filled with activities like workshops, talks and group sessions, and is a great opportunity for PhD candidates to get to know each other and their field of work. Participants can obtain 1 GS Credit once. In 2024, the PhD day took place on 30 May. Data Processing and Analytics in IDE Research Course coordinator: Wilfred van der Vegte Course runs: Q4, every one or two years Course sessions: 4 half-day sessions, each about one week apart Preparation and homework: 14-20 hours Contact/enrolment: w.f.vandervegte@tudelft.nl Number of participants: 5 - 15 Credits: 3 GS credits COURSE REQUIREMENTS In order to participate in this course, you must: ideally be in your second year or first half of your third year have a laptop computer available on which you have rights to install software ideally have some research data that lends itself for exploration as presented in the content description. You may be able to identify such a dataset during the course. DESCRIPTION OF THE CONTENT From experiments, user observations, surveys, corpora of literature, etc., data can be extracted that can be analysed to reveal patterns and relationships. For researchers, these can provide insights to generate or to test hypotheses. In the context of design, the increasing connectedness and digitalisation of products and services also increases the availability of data that can provide insights to researchers in the field. Statistics, visualizations, machine learning and text mining are powerful enablers for discovering these insights, but they can seldom work with the available data straight away. Typically, a succession of steps is needed to reorganize the data and extract relevant elements. Until recently, this composition of processing workflows, or pipelines, has been a tedious process that could best be left to specialists fluent in programming languages such as Python and R. However, today’s visually oriented toolkits (e.g., RapidMiner, KNIME, Orange) can conveniently replace much of the traditional text- based coding needed for setting up complete data-processing workflows. These toolkits also facilitate communication and explanation of the deployed workflows to involved stakeholders, and produce models revealing meaningful relationships within the data. In the course we will use visual programming to explore rich datasets for insightful patterns and relations with the goal to generate actionable knowledge for IDE research. The exploration is built upon selected fundamentals of data processing and analytics based on the needs of the participants. LEARNING OBJECTIVES Having completed this course, you will be able to select and apply processing steps to explore rich datasets related to IDE research, and to convert opportunities for finding meaningful relationships and patterns into executable processing workflows using visually oriented analytics tools. More specifically, you will: understand the typical types of relations that can be revealed through basic statistics (mean, max, min, mode, etc.), visualization, machine learning (ML) and text mining (TM); have understanding of the main differences and similarities between statistics and ML; understand and apply the key preparation steps to make raw data suitable for visualization, basic stats, ML and TM - such as merging data sources, data smoothing, binning, pivoting and aggregation; understand the distinction between models explaining the relations mentioned under (1) and algorithms to find the best fits for parameters in a model. Also, you can select explainable models if applicable, and interpret such models; be able to apply data visualizations in an explorative fashion to help identify appropriate preparation steps. be able to implement the above actions to create data-processing workflows using a visually oriented tool, and extract meaningful knowledge in a way that clearly exposes how it contributes to scientific progress or can beimplemented in a design context. TEACHING METHODS The course follows an active-learning approach, in which a balanced composition of classroom presentations and discussions, tutorials, project-based learning, and self- study is applied. TEACHING MATERIALS Software: Orange datamining software for Windows, Mac OS or Linux. Free download from https://orangedatamining.com/ Other teaching materials will be proposed during the course sessions. ASSESSMENT You will receive your certificate based on active participation in the course, which is evidenced by taking part in classroom and online discussions and showing evidence of having gained hands-on experience in data processing and analytics. Research through Design Course coordinator: prof. dr. P.J. Stappers Course runs: Once a year (to be announced) Course sessions: 4 half-day in-person sessions Preparation and homework: 14-20 hours Contact/enrolment: p.j.stappers@tudelft.nl Number of participants: 5-15 Credits: 3 GS Credits COURSE REQUIREMENTS In order to participate in this course, you must: ideally be in your second year or first half of your third year use design actions as part of your research method (probably you have a design background in your master) DESCRIPTION OF THE CONTENT Design is young as an academic discipline, and its research methods are diverse, ‘borrowing’ from natural and social sciences, humanities, engineering, and design itself. Increasingly, PhD researchers with a design background attempt to make their design skills part of the method of research. This field of ‘Research through Design’ (RtD) confronts the PhD researcher with having to explain how design actions contribute to knowledge generation, what types of knowledge are delivered, and how to conduct these studies with dependable quality. This course follows a review chapter [1] giving sample RtD projects, and themes in the academic literature (find it by typing ‘research through design’ into a plain Google search). You will read some of the key papers, and discuss how your own work relates to the themes from the literature. LEARNING OBJECTIVES Having completed this course, you will be better able to position your own project in the RtD ‘spectrum’ argue for the types of results (knowledge, impact) of your work argue in what ways your design skills are part of the research understand the position of design research in between other disciplines TEACHING METHODS The course consists of four meetings of half a day. In preparation you will read the chapter and some key papers, reflect on your own project, and present and discuss about these themes in sessions with peers, moderated by the course coordinator. TEACHING MATERIALS The backbone of the course is the chapter [1], which is available online. A printed version is also available for participants. Also some other papers of required and optional reading will be made available. These will be determined during the course on the basis of the ongoing discussions. ASSESSMENT You will receive your certificate based on active participation in the course, which is evidenced by taking part in classroom presentations and discussions. Reference Stappers, P. J., & Giaccardi, E. (2017). Research through Design. In M. Soegaard, & R. Friis-Dam (Eds.), The Encyclopedia of Human-Computer Interaction. (2nd ed., pp. 1-94). The Interaction Design Foundation. Chapter 43. Reading seminar on Design and Socio-Cultural Theory Course coordinator: prof. dr. Bregje van Eekelen Reading group initiators: Abhigyan Singh, Boudewijn Boon, Ehsan Baha, Peter Kun Course runs: year-round, every 3-4 weeks Contact/registration: dr. Abhigyan Sing ( A.Singh@tudelft.nl ) Credits: 1 GS Credit for every two sessions attended (max. 5 GS credits) DESCRIPTION OF CONTENT Aim: The purpose of the Reading Seminar is to develop an intellectual dialogue within IDE by discussing and reflecting on design and socio-cultural theories. Approach: The Reading Seminar meets every 3-4 weeks. Participants prepare in advance by reading and reflecting on pre-announced texts for the seminar. On occasion, we will invite foreign experts (authors of the selected text) to discuss their works with us. Each seminar lasts around one hour and forty-five minutes. Participants of the seminar can also propose a topic and texts for upcoming seminars. (Please note that the reading seminar will not consist of any lecture). Requirement: The only requirement for participation in a Reading Seminar is to come prepared by having read and reflected upon the announced texts and to actively participate. An interest and desire to ask and engage difficult questions during the seminar will be much appreciated. DELIVERABLES N/A Masterclass ‘Writing a journal paper in the field of human experience’ Course coordinator: dr. Rick Schifferstein Course runs: Once every 2 years (2022, 2024, ...), for 5-6 months, depending on expressed interest. Usually starting September/October Contact: Before start of the course (will be announced in PhD mailing list) Credits: 5 GS Credits DESCRIPTION OF CONTENT Writing a paper for an academic journal is an art in itself that asks for a particular style that can only be learned through extensive practice. Writing a paper can be a cumbersome and energy-draining activity: Every detail needs to be checked, every sentence needs to fit in, and the wording should be precise, the line of argumentation should be solid, statistical analyses should be appropriate and well executed, every conclusion should be substantiated by the study results. In addition, every journal seems to have their own rules, some of which are implicit. Therefore, many researchers struggle to complete their papers. In this Masterclass, Rick Schifferstein provides a stable basic framework for writing academic papers, using the draft papers, reviewer reports, and rebuttals from his own publication practice as exemplary materials. Participants will receive a detailed insight in his personal approach to academic writing, supplemented by many practical suggestions and personal writing tips. The class helps both in speeding up the writing process and in improving the quality of the scientific contribution. The meetings provide a ‘training on the job’ approach: participants evaluate and discuss each other’s work and develop a writing strategy for the next part of the paper. In between meetings, participants revise their contribution and work on the subsequent section for their paper. When they keep up with the schedule and finish the entire course, they will have finished a paper that is ready for submission. The scheduled joint meetings really help to motivate participants to continue to work on their papers over the course of the meetings. This Masterclass is intended for academic staff and experienced PhDs who are in their 2nd to 4th year who already have basic writing skills from courses on scientific writing and writing papers for conferences. The course is tailored towards participants who have finished an empirical study in the field of human experience, consumer behavior or design research, and would like to transform their outcomes into a high-quality journal paper for an academic journal (e.g., International Journal of Design, Materials & Design, Applied Ergonomics, Design Studies, Journal of Engineering Design, Journal of Design Research, CoDesign, Journal of Consumer Research). DELIVERABLES For every meeting (except the first one), students write a section of their paper. During the meetings, students give each other peer formative feedback on the assignment. Students who cannot attend a meeting are requested to team up with another student, in order to exchange mutual personal feedback on the writing assignment for that meeting. After the course, students hand in a full paper in which all peer comments have been addressed, and that is ready for submission in a journal. The course coordinator will determine a final grade on the basis of this paper. If sufficient, the student will get a certificate. Product Experience (PE) Linked course: Advanced Embodiment Design (ID4175) Course coordinator: dr. Haian Xue ( h.xue@tudelft.nl ) Course runs: 3rd/4th period (starts February) Contact the coordinator: as soon as possible Credits: 3 GS-Credits DESCRIPTION OF CONTENT Designing for experience requires three basic design skills: 1) understanding the fundamental differences among different types of product experiences (i.e., design for aesthetics, meaning, and emotions); 2) identifying the level of human-product interactions for facilitating a specific experience (i.e., micro, macro, and metal levels); and 3) figuring out which product property is the best carrier for the desired human-product interaction (i.e., shape/ sound/materials; product function; context of use and interaction). By following this module, PhD candidates will gain both theoretical and practical skills into developing product experiences. By the end of the course, with the help of a ‘product experience matrix’, PhD students will be able to analyze the properties of a current product and conceptualize a future interaction scenario for eliciting a desired experience. The content of the exercise depends on a PhD candidate’s interest in a particular product experience. DELIVERABLES One essay Two Product Experience Matrices The course runs in the first block of Spring semester (Q3). An essay on current and future product experiences is required together with two Product Experience Matrices (one for current and one for future product experiences). PhD candidates will participate in three product experience workshops (aesthetics, meaning, and emotion) through which they can also test their drawing or building skills. Feedback is given by experts at the workshops and/or through one-on-one scheduled meetings. How to think/act in dark times: exploring a critical praxis (Designing in Dark Times) Linked course: Advanced Embodiment Design (ID4175) Course coordinator: Virginia Tassinari in collaboration with Eduardo Staszowski, at the New School, with Parsons + GIDES students Contact the coordinator: v.tassinari@tudelft.nl Course runs: end January– Mid May 2025 (Fridays 10:00am - 11:50am NY time/ 16:00 pm-17:50 pm Europe Time) Dates: 24-1; 31-1; 14-2; 21-2; 28-2; 07-3; 21-3; 28-3; 04-4; 11-4; 25-4; 2-5; 9-5 Course sessions: online sessions of 1 and 50 minutes Preparation and homework: from 1 to 2 hours a week Number of participants: max 10 Credits: 3 GS Credits DESCRIPTION OF CONTENT This course is a deep dive in contemporary thinking and practices facing the challenges, and can be considered an experimental laboratory for envisioning forms of critical praxis beyond the modern, anthropocentric, Westerncentric and pathriarchal epistemolgical framework. As such, it can be considered an exercise of collaborative critical imagination, where to envision what our practices and theory can look like, when they emancipate from the current modern, anthropocentric, Westerncentric and pathriarchal epistemolgical framework. This requires an integrative approach to acting and thinking, that goes beyond the modern divide between theory and practice, but also between disciplines. Critical praxis is a way of reflective interplay of thought with action and theory with practice. It consists of multiple forms in education and social change such as self-reflection, reflective action, and collaborative reflective practice. What does it mean to explore a critical praxis in times of fear and uncertainty? How do we shape new transdisciplinary models which attempt to think what-is and what-could-be not in terms of a struggle between irreconcilable moments—“theory” and “practice”—but in terms of what lies, relationally between? The course will look at these questions as means of overcoming this gap and opening up other possibilities of thinking and acting in the world. We see this course as a dialogue between students, faculty and external guests. Classes are structured around a series of readings, discussions and experiments engaging with key issues from contemporary philosophy, sociology and anthropology stressing where those discourses interplay with those currently developed through design, social, and artistic practices. Rather than a traditional lecture-based course model, we wish classes to offer students useful prompts, and a helpful arena, to share experiences, reflect on concepts and debate their applicability. On this basis our course follows two modes of learning: One that engages with theoretical perspectives and discusses their potential. Another that explores the curation and creation of artifacts, texts, performances, films, media productions, etc. prompting those theoretical insights and what they might mean for our times. This course is meant to support giving shape to your own critical, reflective practice, cutting between disciplines, especially in dealing with our contemporary dark times and its future challenges. Fields of science such as philosophy, anthropology, sociology, gender studies and design studies provide critical insights central to the contemporary issues raised in for instance the more-than-human, the de-colonial and the feminist discourse. The course helps you to evaluate their potential value within your own research, and making these insights sharper/more critical and reflective. Learning Objectives Having completed this course, you will be able to assess the critical insights (coming from philosophy, anthropology, sociology, gender studies, design studies, and so forth) addressed during the course, provided by the literature and the working sessions, central to our contemporaneity (see for instance the more-than-human, the de-colonial, the feminist discourse) and evaluate of their potential value for addressing one’s own research/topic of research, and making it sharper/more critical and reflective. In other words: this course is meant to support the giving shape of one’s own critical, reflective practice, cutting between disciplines, and addressing our contemporary dark times and its future challenges. Teaching Methods The (online) classes – a collaboration between TU DELFT and The New School - will be organized within imaginaries stanzas where students and faculty will curate, transform, present and discuss concepts, works and critical practices of their own or from others. At the end of the course, each student will also create a personal curatorial itinerary connecting ideas and moments through the different stanzas, opening up multiple poetic spaces of inquiry, practice and discovery. The notion of stanza has a double meaning for us. In poetry stanzas are divisions of a verse, or a group of lines within a poem. In Italian, a stanza also means “room”. In his book Stanzas: Word and Phantasm in Western Culture (1992), Giorgio Agamben plays with these two meanings indicating not only poetry and its divisions, but the possibility of suspension between modes of thinking and modes of acting, a gap between disciplines, a third space between poetry and philosophy. After a first introductory week, we will start to look at a series of concepts organized thematically in each of the five stanzas. Some stanzas are ‘bigger’ than others and that will require us to stay longer in them or we might decide not to visit a particular stanza. In each stanza we will start with faculty presentations about different readings, a seminar setting. We are not doing academic presentations in the sense of an undergraduate style “what is the author saying”. We are interested only in the insights offered by the authors as a moment of shared reflection and understanding and to allow all of us to start creating a curatorial concept for each stanza. A curatorial concept for us is a way of giving form to each stanza in a way that can help question, analyze, and communicate a set of ideas, but also exploring critical practices. In practical terms, students will be invited to (I) pick out some salient and potentially useful concepts and (II) and curate or make thoughtful, provocative propositions to be placed in the stanza, contributing to give form and represent them, and exploring which form of reflective, critical praxis may emerge in the intersection between disciplines. At the end of the course, each student will be asked to develop their own curatorial itineraries throughout all stanzas visited during the course. If the schedule allows, we might invite guests to visit their itineraries with us. Assessment You will receive your certificate based on active participation in the course (which is evidenced by the curation of the different stanzas and the curatorial itinerary discussed at the end of the course, in the last lesson. Courses at other TU Delft Faculties It is also possible to obtain discipline related skills by following courses at another faculty. For instance, the ME course ‘ Structuring your design-oriented PhD project '. Please read the course description to make sure the course is open for all PhD candidates. MSc Courses Courses from MSc programmes can be used to obtain your Doctoral Education credits. For the ' Research -' and ' Discipline related ' skills there are MSc courses and electives available at the faculty of IDE. An overview of these courses can be found in the online study guide . Furthermore there are also other universities around the world who offer relevant MSc courses. Please contact graduateschool-ide@tudelft.nl to check if the quality of the institution meets the Graduate School requirements. IDE Master Classes Within the faculty of IDE a series of 2-day Master Classes is developed for design professionals. The Master Classes are given by top lecturers or alumni from the faculty of Industrial Design Engineering, across a variety of disciplines of the design field. These can very well be used to obtain your Doctoral Education credits. More information on these Master Classes can be found on the IDE MC page . Other providers It is also possible to obtain credits at conference workshops that have the objective of knowledge transfer or teaching, summer schools and courses at other institutions such as Research Schools ( click here to find out of which research schools TU Delft is the coordinating university or participates in) Various summer schools Coursera edX - for instance Delft Design Approach and Circular Economy (both developed by members of our own faculty) Codecademy Kaggle Delft AI Lab Lunch and Human-Centred AI Systems (HCAIS) Deep Dive Series. Dates of these events can be found here . Please use this form to collect GS credits for both series. Research skills category University Graduate School The UGS offers a number of courses in both the transferable skills category and the research skills category. An overview of available courses can be found in the Course Guide . MSc Courses Courses from MSc programmes can be used to obtain your Doctoral Education credits. For the 'Research-' and 'Discipline-' related skills there are MSc courses and electives available at the faculty of IDE. An overview of these courses can be found in the online study guide . Furthermore there are also other universities around the world who offer relevant MSc courses. Please contact graduateschool-ide@tudelft.nl to check if the quality of the institution meets the Graduate School requirements. Online Courses Online providers such as EdX and Udacity offer MOOCs and other online courses. At EdX you can take the Delft Design Approach or Circular Economy course developed by members of our own faculty for example. There is also an self-study course on statistics on Brightspace, that has proven to be useful for some PhD candidates – but please note that this course is not rewarded with GS credits. Please contact Manon Borgstijn for access. Learning on the job At the IDE Faculty Learning on the Job only applies to the Research Skills category. The list of Learning on the Job activities and the credits associated with them can be found on this page (intranet). Transferable skills category University Graduate School The UGS offers a number of courses in both the transferable skills category and the research skills category. An overview of available courses can be found in the Course Guide . Online Courses Online providers such as EdX and Udacity offer MOOCs and other online courses. At EdX you can take the Delft Design Approach or Circular Economy course developed by members of our own faculty for example. There is also an self-study course on statistics on Brightspace, that has proven to be useful for some PhD candidates – but please note that this course is not rewarded with GS credits. Please contact Manon Borgstijn for access. Other providers It is also possible to obtain credits at conference workshops that have the objective of knowledge transfer or teaching, summer schools and courses at other institutions such as Research Schools ( click here to find out of which research schools TU Delft is the coordinating university or participates in) Various summer schools Coursera edX Codecademy Kaggle Delft AI Lab Lunch and Human-Centred AI Systems (HCAIS) Deep Dive Series. Dates of these events can be found here . Please use this form to collect GS credits for both series. Mandatory components The following courses are a mandatory component of Doctoral Education for all IDE PhD candidates: IDE Research Course ( discipline related skills category ) Learning on the Job (5 GS credits) ( research skills category ) PhD Start Up ( transferable skills category ) Career Development Course (1 GS credit) ( transferable skills category ) Planning and keeping track of Doctoral Education During the PhD Agreement meeting (at 3 months) you should discuss a first outline of the Doctoral Education you intend to fulfill with your supervisory team. You should keep track of your Doctoral Education planning and progress in the Doctoral Monitoring Application ( DMA ). As this planning is subject to change and courses will be completed, the PhD candidate is requested to update DMA after each mandatory progress meeting . Credits and registration Courses In order for you to obtain credits for attending a course you have to get this course attendance form signed by the lecturer of the course (this also applies to MSc courses). If you receive an official certificate for the course you have followed, you may also use this as your proof of participation. Learning on the Job The requirement here is that you choose Learning on the Job activities in agreement with your supervisors. Claiming credits for Learning on the job activities can be done by providing proof that you have completed the activity. You can provide proof through documents that offer evidence that you have fulfilled the task, for instance, for ‘writing the first conference paper’ you could upload the paper to DMA, for ‘poster presentation, small audience’ you could upload your poster, for ‘addressing a major international audience’ you could upload your conference presentation or the conference programme with your name listed, and for ‘writing the first article’ you could upload the entire article. So for many of the tasks there are ways to prove you have completed them. Please refer to this page for an overview of activities which qualify for Learning on the Job and the amount of credits you can receive for these activities. Obtaining the Doctoral Education Certificate When you have finished your Doctoral Education, you have to request final approval of the Doctoral Education program (which you need in order to set a date for your Doctoral Defence Ceremony). The process of requesting this approval is as follows: Make sure all your courses and Learning on the Job activities are registered in DMA correctly (for the courses make sure you have uploaded the certificates or course attendance forms as well). Check if you have met all requirements as stated in 'Doctoral Education Guidelines'. This document can be found on this intranet page . Send an email to graduateschool-ide@tudelft.nl asking for a final check of your Doctoral Education program. The IDE Graduate School checks your Doctoral Education program and will ask the approval of your supervisor(s) and the IDE DE programme coordinator. If you fulfil all requirements, and you'll get the final approval. If not, you'll be informed on how to proceed. It is our experience that the DE check can take some time as adjustments are often required. Therefore, we advise you to request this check about 6 months prior to your intended defence date . Please note that without approval of your DE programme it is not possible to set a date for your defence. DMA Login to DMA Manual and background information on DMA Questions about DE? Please contact our IDE DE programme coordinator Wilfred van der Vegte.
