Thematisch minor-aanbod

Het aanbod voor 2023-2024 is beschikbaar per maart 2023.


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Op deze pagina vind je het minor-aanbod van 2022-2023.

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Engineering with AI

Engineering with AI TI-Mi-225 Ultimately, one of the TU Delft’s objectives is that all students at TU Delft should be exposed to AI (Artificial Intelligence) education. That is why the TU Delft has recently launched 24 Delft AI Labs . Each faculty has now several AI labs, that aim to combine AI research with topics of interest from the faculty. For example, the faculty of Aerospace Engineering is investigating the use of graph neural networks to predict air traffic delays in a network of interconnected airports. To stimulate students to combine AI with topics of their faculty, this new minor programme (Engineering with AI) was launched in the academic year 2021-2022. This was a pilot launch; you can read more about it in this news article . In the academic year 2022-2023, we will enter the second iteration of the pilot. Students that complete this minor programme will - in their MSc programme of their faculty - gain access to the 15 EC course “Interdisciplinary Advanced Artificial Intelligence Project” (see TU Delft study guide ). Together, this minor and this MSc course will allow you to do a MSc thesis project that combines AI with topics of interest of your faculty. Furthermore, it is highly likely you will encounter AI techniques in your job after your studies. In this minor you will learn how to use AI techniques such as neural networks. At the end of the minor programme you will work together with an expert researcher from your faculty or one of the Delft AI Labs. Together with them you will develop or investigate an AI solution as part of the “Capstone Applied AI” project. In this minor program you will also learn how AI and machine learning algorithms work and how you can apply them the right way. You will also learn the pros and cons of AI techniques, their limitations and possible associated ethical problems. You will get to know all the ins and outs of AI; you will be able to tune settings or to use specific AI algorithms using toolboxes, and will learn what is ‘under the hood’ of the AI toolkit. By the end of this minor you will: know how to apply AI techniques in your specific study field, how to reformulate problems of your field such that they can be solved by AI algorithms, recognize the limits and failures of AI solutions and know how to try and fix them. Faculty of Electrical Engineering, Mathematics and Computer Science ECs: 30 Language: English Maximum participants: 125 Non-selection minor: Selection minor: Education period(s) : Q1+Q2 For Whom? Bachelor’s students from TU Delft What will you learn? Computational thinking, Artificial Intelligence, Societal impact Course overview First quarter (15 EC) Second Quarter (15 EC) Education methods Courses and a final project Register for this minor Open registration, randomly selected Participating institutions Faculties EEMCS For whom? All BSc students from TU Delft except Computer Science BSc students can enrol for this minor. If you do a double BSc degree that includes computer science (for example: math and computer science) you are also not allowed to take this minor. Who cannot attend? Computer Science BSc students Double BSc degree students with Computer Science (such as math and CS), HBO students, Students outside of TU Delft. Information for bachelor’s students from Applied Mathematics (BSc TW): The following course replacements are required for the BSc Technische Wiskunde (TW) students. Engineering with AI Minor (TI-Mi-225) course: The content equivalent for BSc TW students: To be replaced by: TI3105TU Introduction to Python Programming AM1090 Introduction to Programming CSE2520 Big data Processing TI3111TU Algorithms & Data Structures TI1520AM Algorithms & Data Structures CSE1400 Computer Organisation Prerequisites In order to be able to successfully start this minor, you need to have some basic programming skills. To help you figure out whether you are at the correct level, we have created a mini-course on Python Prerequisites. You can find our mini-course here: . Please check it out before registering for this minor programme. If you have trouble doing the assignments, this minor programme might not be for you. In addition to basic programming skills, knowledge of university-level mathematics (calculus, linear algebra, probability, and statistics) is recommended. Especially for students from IDE / IO and BK / A+BE, self-study in the summer is required (15-20h), because not all linear algebra and statistics is covered in the BSc programme. You can find a detailed description of the self-study material here: What will you learn The main learning objectives are as follows, split per three core pillars: Computational thinking The student will be able to explain the basic concepts of computational thinking, describe how algorithms operate on data, and discuss the differences in the complexity of algorithms. Artificial Intelligence The student will be able to describe the fundamental concepts and techniques of AI, explain the possibilities and limitations of AI systems and the importance of their validation, and can apply at least one AI technique or analyse an AI application area, preferably in the field of their major. Societal impact The student will be able to examine the technological, societal and regulatory perspectives on AI, assess the impact of deploying AI-based solutions and interventions on individuals, organizations and society, and apply ethical considerations in the design of its own AI system in the field of his/her major. Course overview Below is a short description of all courses. For more information, please see the studyguide . Quarter 1 [TI3105TU] Introduction to Python Programming The course aims at achieving a programming level that is needed to be able to implement AI algorithms. You will be able to work with external libraries, which can also be applied to the use of popular AI packages used by academia and industry. [TI3145TU] Introduction to Machine Learning The course aims at learning the basic concepts underlying machine learning techniques and applying and fine-tuning Python machine learning algorithms on various datasets. [TI3111TU] Algorithms and Data Structures The course aims at providing foundational knowledge of computer science concepts required in programming AI algorithms and manipulating AI data structures. Quarter 2 [TI3140TU] Introduction to AI and Engineering Responsible AI The course aims at explaining the most common views on what AI is. You will be able to examine the technological, societal and regulatory perspectives on AI and assess the impact of deploying AI-based solutions and interventions on individuals, organisations, and society. [TI3150TU] Capstone Applied AI project In this course, you will apply the topics learned in the previous minor courses on a group project with regards to your field of study. The project will be supervised by faculty staff and PhD students from the major field of study of your major. Education methods The courses will be taught on campus. In Q2 there are multiple mandatory on-campus activities, in Q1 only the exams are mandatory on campus activities. The courses in Q1 do not have mandatory lectures or lab sessions; these are all optional to help you master the material. “Introduction to Python Programming” and “Algorithms and Data Structures” feature an on-campus exam, where you have to take the exam with programming exercises on a computer. “Introduction to Machine Learning” exam is a course with a mandatory AI project that is executed in pairs - graded using a report in addition to an on-campus “pen and paper” exam. In Q2 “Introduction to AI and Engineering Responsible AI” has a few mandatory activities on campus, and is graded based on a written paper. “Capstone Applied AI” project features group work and mandatory meetings with your supervisors, teaching assistants and your student group (with +/- 5 students per group). The “Capstone Applied AI” has a mandatory on-campus midterm presentation and final presentation; the project is also graded using a report. Register for this minor To register, please follow the procedure described at Minors - English page , or Minors- Dutch page . Participating institutions Faculty of Electrical Engineering, Mathematics, and Computer Science . Frequently asked questions Can I follow this minor if I am an MSc student? No, the CS minor is only for BSc students. Can I follow this minor If I am not a student from TU Delft? No, only BSc students from TU Delft can participate excluding BSc Computer science students. Can I replace the course on Python programming? Some students have already done a course on Python in their bachelor’s programmes and wonder whether they can get a replacement for the Python course in this minor programme (TI3105TU). Our answer: we cannot offer a replacement for TI3105TU, unless you are a Mathematics student from the TU Delft (in which case you should follow the replacement table presented above). I did a programming course (or other course) at faculty XYZ, can I replace a course in the minor programme by this course? No. Engineering with AI minor coordinators Testimonial Huib Baetsen “The minor touches upon a lot of different sides of AI, from theoretical data structures to the ethical aspects of Machine Learning.”

Geo-resources for the Future (LDE)

Geo-resources are used everywhere in our daily life, it’s not just the petrol that drives our cars and busses and the gas that warms our houses. Geo-resources are also needed to make sustainable energy sources. Rare earth metals are for instance used for solar cells, wind turbines, electric motors, and last but not least in our mobile phones. We are facing challenges: Increasing CO 2 emissions are causing climate change and call for an energy transition towards renewable energy sources. In addition, the supplies of fossil fuels and minerals are limited and their availability and prices strongly depend on global politics. In order to tackle this complex societal challenge, various viewpoints have to be considered. In this Minor, you will learn about the various disciplines that are involved in a responsible exploitation and trading of geo-resources and practice their integration. You will work on economic, environmental and social aspects that are needed to achieve a ‘licence to operate’. How is it done today and what do we need to change tomorrow? We need your active participation in group work and interactive work forms (e.g. debates, games, workshops). Check all TU Delft minors Introduction to Geo-resources for the Future Faculty of Civil Engineering and Geosciences ECs: 30 Language: English Maximum participants: 50 Education periods: Q1, Q2 For Whom? Everyone What will you learn? About geo-resources from the perspectives of geologists, social scientists, economists, politicians, environmentalists Course overview Quarter 1 Quarter 2 Education methods Discuss real world issues with experts, excursions, group project and more Register for this minor Visit Participating institutions Leiden University Erasmus University Delft University of Technology For Whom? All Bachelor students from TU Delft, Leiden University, Erasmus University Rotterdam (EUR students may follow only Q1 i.e. 15 EC) Students from various disciplines who are interested in social, economic, environmental and political aspects of the exploitation and trade in geo-resources What you will learn? A taste of all disciplines involved in responsible exploitation of geo-resources. Geo-resources are not to be let to the geologists – they are an issue of social scientists, economists, politicians, and environmentalists. The complex nature of extracting and trading geo-resources and what is actually needed to do this responsibly. How the topic of circular economy links to geo-resources. The technological, institutional and economical value chain per geo-resource, including historical knowledge. The impact of climate policies, consequences for fossil fuels and subsidies Hear stories from the real world and discuss with experts in the field. Excursions Build a Wiki Write an essay on a pressing problem (with prior essay writing workshop) Participate in debates Group project Course overview In Quarter 1 the minor consists of the Forum, where three modules and self-study are embedded. All modules will be given in a blended form , i.e. partly face-to-face (e.g. lectures) and partly online (e.g. part of MOOC’s, web lectures, online documents). At the beginning, we will align the knowledge base of students from the various disciplines by guided self-studies with material provide. Knowledge acquired in the three modules will be integrated in weekly activities in the so called Forum (e.g. debates, stories from experts in the field, excursions, games, workshops). Module 1 Geo-resources 1.0: Past & Present (5 EC) Geosciences and engineering aspects: what are resources, where are they found, how are they exploited; competition between use of resources, environmental impact of exploitation; historical perspective and state-of-the-art. Module 2 Political Economy of geo-resources (5 EC) Political economy, geo-politics, energy trading, institutional economics, governance, regulations, impact on prosperity, international relations. Module 3 Geo-resources 2.0: towards the future (5 EC) Energy transition, Resource Scarcity, Security of supply, Circular Economy, Geo-(risk) management, management of innovations, Social Corporate Responsibility In Quarter 2 (optional for EUR students), students will work in groups of 4 to 5 students on a specific topic/case study. Each topic falls within one theme that combines a number of case studies; the Forum remains as a place to interact between groups. Education methods Hear stories from the real world and discuss with experts in the field. Excursions Build a Wiki Write an essay on a pressing problem (with prior essay writing workshop) Participate in debates Group project Study guide See the digital Study guide for a list of courses and their contents. Contact Contact Dr. Anne Pluymakers Faculty of Civil Engineering and Geosciences

Integrated Infrastructure Design

CT-MI-186 This minor offers students a comprehensive and interrelated set of courses focusing on the integrated design of transport and water infrastructures such as bridges, fly-overs, underpasses, dikes, routes, railway- and metro stations. The focus is not only on technical challenges for an infrastructural object, such as function, construction and materials, but also on the architectural form, the system integration into the transport and/or waterway networks, and on the spatial integration into an urban or natural environment. Check all TU Delft minors More information DIMI story Final Project Minor code: CT-MI-186 Language: English Max. participants: 30 Non-selection minor: Selection minor: For Whom? BSc students at TU Delft, BSc students from other universities with an interest in infrastructure and integrated design What will you learn? In-depth design exercises for bridges, fly-overs, underpasses and route-design on different scales and levels of complexity. Course overview Cases and assignments Why? The minor offers you a comprehensive and coherent programme with interrelated courses. Register for this minor Visit Contact Student stories and contact details For whom? Dedicated and motivated BSc students at TU Delft to further their knowledge of infrastructures and integrated design and to develop skills on design, (3D ) drawing & modelling, communication, presentation and multidisciplinary collaboration. Dedicated and motivated BSc students from other universities with an interest in infrastructure and integrated design to further their knowledge of infrastructures and integrated design and to develop skills on design, (3D) drawing & modelling, communication, presentation and multidisciplinary collaboration. Dedicated and motivated students from universities of applied sciences with an interest in infrastructure and integrated design who want to orientate themselves in this field with a future enrollment in mind for a design master or specialization at TU Delft . The minor courses will be taught in English, so good English language skills are required. What will you learn The minor starts with a comprehensive introduction to various objects of integrally-designed transport and water infrastructures and their historical development and environmental context. Also a broad range of design perspectives and approaches will be introduced to get familiar with analytical and problem solving-methods and techniques. As part of this course students have to write an essay from a theoretic point of view about an infrastructure and its integrality. Central to the minor is the design course with in-depth design exercises for bridges, fly-overs, underpasses and route-design on different scales and levels of complexity. In this course students' design, collaboration and presentation skills will be stimulated and developed by multidisciplinary teamwork within a studio setting. Other courses delve into; present and future issues about mobility and flood protection, design challenges for transport and water infrastructures within the context of contemporary urban and landscape (design-technical) conditions; infrastructure planning and governance; and into the idiosyncrasy of (infra-)structures from a reverse-engineering perspective. All previous courses prepare and lead to the final project where students work, as multidisciplinary teams within a studio setting, on an assignment by a commissioner from practice to resolve a complex infrastructure design issue in a real-world context. Examples are the (re)design of a large bridge or a multimodal transport hub and its integration into the urban transport system and into the public space. Apart from the design of the object and its integration also ideas for the added value in a social and economic sense, and options to finance the infrastructure shall be developed. Design and engineering students with interest in infrastructures, integrated design and multidisciplinary teamwork, can use this minor to further their ambitions in becoming a designer/engineer. For architecture and civil engineering students in particular the minor offers actual assignments from practice which familiarize you with issues and demands relevant for your future professional orientation: who better understands different design and disciplinary perspectives, who is capable to analyze assignments, technical requirements and environmental conditions and translate these into design objectives and criteria, who is creative to develop design alternatives , who can give design decisions a solid ground on basis of a multi-criteria analysis and convincing arguments, and who can present an integrated (3D) design with an attractive architectural expression and with elaborated technical details, who can work within a multidisciplinary team, and who ultimately contribute to an innovative, attractive and integrated design. This minor is affiliated to the Deltas, Infrastructures & Mobility Initiative (DIMI) as one of the four spearheads of TU Delft on societal challenges Course overview Study guide See the digital Study guide for a list of courses and their contents. Why? The minor offers you a comprehensive and coherent programme with interrelated courses. Combines theory and practice for integrated design of transport and water infrastructures. Explores societal issues and contexts and teaches you to design innovative solutions on different scales from a variety of perspectives and various disciplines. Lecturers from academia and professionals from practice. Stimulates multidisciplinary team work in a studio setting. Develops your understanding of actual infrastructure design and your design skills in an interfaculty, multidisciplinary and collaborative context. Contact “This minor presents students with a unique opportunity to become a designer / engineer in the challenging practice of integrated infrastructure, where urgent societal issues in the domains of mobility and transport, water and the environment can contribute to better built and natural environments.” Marcel Hertogh Challenges How do we create commitment from stakeholders for large infrastructural interventions? Can design also create new spatial conditions and add societal, economic and environmental value? Will current infrastructure address future activities, developments and conditions? Drs. ing. Hans de Boer TU Delft Deltas, Infrastructures & Mobility Initiative (DIMI) +31 (0)15 27 84620