. "Algorithms, Data Structures, Complexity, And Computability, Modeling Complex Systems"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Modelling, uncertainty and data for engineers"@en . . "12" . "This module comprises two interlinked parts. The Theory, Application and Coding (TAC) part focuses on teaching and applying\nthe fundamental concepts on modelling, uncertainty and data (MUD), as well as coding skills. In the Q1 Project part students\nwork in multidisciplinary teams on cases in the context of a smart society, where they will apply the knowledge and skills from\nthe TAC. In the Q2 project, the students work at the interface areas where the three topics overlap, creating opportunities for\nmore integrated applications and the ability to focus on fields of interest per programme (when needed) while satisfying the same\nset of learning objectives. A gradually increasing complexity and openness of inquiry will be applied.\nStudy Goals After successfully completing the MUDE a student\nGeneral\nis able to describe and formulate a research question (or alternatively, design requirements) given a set problem and select the\nappropriate methodology and tools\nis able to present a fitting work plan to investigate a set of research questions or design requirements\nis able to compose a technical document using appropriate academic language and citation with references\nis able to work in a collaborative group environment effectively\nis able to code according to basic coding standards (e.g., consistency, readability, conciseness, structure, etc.) and collaborate\nwith their peers via distributed control software (e.g., git)\ncan perform spatial / temporal / multivariate analysis of data to extract knowledge via physics-based modelling tools, data-\ndriven approaches, and uncertainty quantification methods\ncan present and communicate with peers in Civil Engineering and Geosciences, results of analyses using specific modelling,\nuncertainty and data approaches with appropriate metrics and visualization techniques\nModeling\ncan design a modelling framework (from problem conceptualization to governing equation setup) for a physical/engineering\nprocess\ncan translate the modelling framework into discretized equations and computer code\ncan mathematically formulate and solve an optimization problem and discuss its properties\ncan assess optimization and simulation models performance using a set of indicators\nUncertainty\ncan derive relevant models and complete probability and statistic calculations for faculty-wide applications\ncan construct relevant models for probabilistic dependence, for example using bivariate distributions or discrete Bayesian\nPage 5 of134\nNetworks\nuse deterministic models with probabilistic inputs to evaluate engineering questions to quantify model output uncertainty (in\ntime and/or space)\nuse risk and reliability analyses concepts to describe systems, their characteristics and behaviour in time and space to support\ndecision making under uncertainty\nData\ncan identify parameters of interest, describe the functioning of common field/remote sensors used for measuring them, and\nexplain resolution implications in space and time\nis able to apply parameter estimation using observations and perform a quality assessment\ncan illustrate the procedure of gathering data from different sources, pre-processing it for analysis purposes, and sharing it\naccording to FAIR principles" . . "no data"@en . "TRUE" . . "Master in Applied Earth Sciences"@en . . "https://www.tudelft.nl/onderwijs/opleidingen/masters/applied-earth-sciences/msc-applied-earth-sciences/programme" . "120"^^ . "Presential"@en . "The master Applied Earth Sciences (AES) is a two-year MSc programme. In the first year, you build core competencies through the AES programme core and faculty module on Modelling, Uncertainty and Data for Engineers (MUDE). You also choose your discipline, gaining specialised knowledge in a particular field. Finally, you gain hands on experience by applying the knowledge you are learning in case studies and in the field.\n\nIn the second year, you have even more choice. You choose between in-depth or free electives, a multi- or interdisciplinary project in the Netherlands or abroad, and cross-over modules. This prepares you to make a well-informed decision for a master’s thesis research topic."@en . . "2"@en . "FALSE" . . "Master"@en . "Thesis" . "2314.00" . "Euro"@en . "20560.00" . "Recommended" . "Graduates of Applied Earth Sciences find jobs in industry, governmental organisations, knowledge institutes, and universities worldwide that centre around the programmes disciplines (Weather and Climate, Earth Observation, Geo-Energy and Geo-Resources) as well as in engineering jobs outside these disciplines. They are hired within the engineering industry, construction firms, energy, resource and water companies, IT companies, and consultancy firms advising these industries. They are employed by a range of governmental organisations, knowledge and space institutes, NGOs, and our students continue their academic career at leading universities within the Netherlands and abroad."@en . "4"^^ . "FALSE" . "Downstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . .