Search for PhD courses in NORDTEK Cooperation |
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496 search results
| Course title | City | Start date | Workload |
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Audio Programming Project D
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April 2026 | 3 | |
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Aalto University
<p>Advanced course which gives hands-on experience on programming real-time audio signal processing systems. The basic module of 3 ECTS consists of smaller assignments and a small project whereas for 5 ECTS there is also a larger individual project. |
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Audio Signal Processing D
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January 2026 | 5 | |
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Aalto University
<p>General overview, history, and applications of audio signal processing, digital filters used in audio, audio-specific design methods for digital filters, sampling rate conversion, analysis methods for audio signals, digital reverberation and effe |
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Automation Software Synthesis and Analysis D
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February 2026 | 5 | |
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Aalto University
<p>The students will acquire theoretical background and practical experience of formal methods application for validation and synthesis of hardware, software and reactive embedded systems</p> |
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Autonomous Mobile Robots D
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February 2026 | 5 | |
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Aalto University
<ul><li>Robotic locomotion</li><li>Sensing and perception</li><li>Mapping and localisation (Probabilistic approach)</li><li>Contemporary software tools for robotics</li><li>Simultaneous Localisat |
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Basics of Biomedical Data Analysis D
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September 2025 | 5 | |
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Aalto University
<p>This course covers some of the essential notions needed to analyse biomedical data, including basic statistical concepts, spectral methods, linear methods and non-linear methods for analyzing time-series and other multi-dimensional data.</p> |
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Basics of Sensor Fusion D
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September 2025 | 5 | |
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Aalto University
<p>The course content includes: Least squares estimation, modeling of dynamic systems, sensor models, optimization methods, Kalman and extended Kalman filtering.</p> |
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Bayesian Data Analysis D
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September 2025 | 5 | |
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Aalto University
<p>Bayesian probability theory and bayesian inference. Bayesian models and their analysis. Computational methods, Markov-Chain Monte Carlo.</p> |
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Bayesian Filtering and Smoothing D
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January 2026 | 5 | |
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Aalto University
<p>Statistical modeling and estimation in nonlinear and nonGaussian systems. Bayesian filtering and smoothing theory. Extended Kalman filtering and smoothing, sigma point and unscented filtering and smoothing, sequential Monte Carlo particle filteri |
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Beam, Plate and Shell Models D
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February 2026 | 5 | |
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Aalto University
<p>Assumptions, equations and analytical solutions of linearly elastic beam and plate models in flat and curved geometries.</p> |
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Big Data Platforms D
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January 2026 | 5 | |
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Aalto University
<p>The course will provide knowledge covering main aspects of big data platforms, including data platform services and ecosystems, architectures and designs for big data, core services in big data stores, big data ingestion techniques, big data pro |
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