Search for PhD courses in NORDTEK Cooperation |
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586 search results
| Course title | City | Start date | Workload |
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Computational Complexity Theory D
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February 2026 | 5 | |
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Aalto University
<p>Basic concepts of complexity theory: models of computation, complexity measures including time and space, reductions, complexity classes and completeness. Complexity classes: P, NP and coNP; PSPACE, LOGSPACE, EXPTIME. Advanced topics such as the |
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Computational Design and Interaction D
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October 2025 | 5 | |
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Aalto University
<p>Applications of optimization, Bayesian inference, reinforcement learning, and deep learning. Contents are updated every year to reflect state-of-the-art topics in HCI research.</p> |
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Computational Fluid Dynamics D
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January 2026 | 5 | |
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Aalto University
<p>The course offers a first systematic walk through to computational fluid dynamics (CFD) in the leading open source CFD software environment OpenFOAM. While practical simulation experience is gained in OpenFOAM, theory will be put to practice as w |
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Computational Fluid Modelling D
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September 2025 | 5 | |
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Aalto University
<p>The main goal of the course is to be able to perform a complete CFD simulation project from the definition of the research problem to reporting of the results and main findings. At the same time you will get familiar with the main steps required |
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Computational Geometry D
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January 2026 | 5 | |
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Aalto University
<p>The main concepts and tools used in computational geometry: data structures, exact and approximation algorithms, computational hardness. Topics include: arrangements and duality, convex hulls, low-dimensional linear programming, orthogonal range |
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Computational Inverse Problems D
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February 2026 | 5 | |
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Aalto University
<p>The course s topic is computational methods for solving inverse problems arising from practical applications. The course consists of two parts: the first three weeks focus on classic regularization techniques, the latter three weeks discuss stati |
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Computational Methods D
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September 2025 | 5 | |
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Aalto University
<p>Standard quantum chemical methods for modelling the structure, properties, and reactions of molecules and materials (in particular, Density Functional Theory). </p><p>Modelling the dynamics of molecules (for example, diffusion). </ |
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Computational Methods for Differential Equations D
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October 2025 | 5 | |
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Aalto University
<p>Basic existence and uniqueness results for systems of ordinary differential equations. Linear multistep methods and Runge-Kutta methods: stability, convergence and numerical implementation. Discretization of simple initial/boundary value problems |
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Computational Methods in Stochastics D
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September 2025 | 5 | |
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Aalto University
<p>Fundamentals of relevant numerical mathematics, practical tools for data analysis (such as logarithmic binning), generation of random variables from different distributions,</p><p>Markov chains, Monte Carlo methods (MCMC, Hamiltonian |
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Computational Physics D
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January 2026 | 5 | |
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Aalto University
<p>Understand and implement various models appearing in computational quantum, statistical condensed matter and materials physics. </p> |
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