Search for PhD courses in NORDTEK Cooperation |
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496 search results
| Course title | City | Start date | Workload |
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Creating Value with Analytics D
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February 2026 | 5 | |
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Aalto University
<p>The course provides an overview of the data analytics toolbox including topics such as causal inference, predictive analytics, optimization, and simulation. These topics are approached from two perspectives: 1) how can the analytics toolbox be ap |
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Cryptography D
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September 2025 | 5 | |
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Aalto University
<p>We introduce cryptographic security models and concepts and understand the relations between them. We then apply the learnt concepts and techniques to real-world problems. In particular, we cover:</p><ul><li>Pseudorandom functio |
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Cybersecurity D
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April 2026 | 5 | |
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Aalto University
<p>Cyber security concepts. Distinguished visiting lecturers. Course consist individual as well group exercises.</p> |
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Cybersecurity Management D
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January 2026 | 5 | |
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Aalto University
<p>Cybersecurity risk management (identification, valuation and process), cybersecurity architectures and standards in different domains, cybersecurity governance through information and cybersecurity goals.</p> |
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Decision Analysis D
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September 2025 | 5 | |
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Aalto University
<p>Models for decision making: subjective values, multi-objective decision making and optimization, group decision making, decision under uncertainty, dynamics of decision making.</p> |
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Declarative Programming D
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September 2025 | 5 | |
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Aalto University
<p>The course covers selected mainstream approaches to declarative programming with constraint solvers, such as Boolean satisfiability (SAT), constraint satisfaction problems (CSP) and satisfiability modulo theories (SMT), as well as some of their m |
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Deep Generative Models D
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February 2026 | 5 | |
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Aalto University
<p>Fundamental and current topics of generative modeling and uncertainty quantification. Both methodological and implementing aspects are part of the course contents. </p><p>Topics include</p><ul><li>Monte Carlo methods |
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Deep Learning D
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January 2026 | 5 | |
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Aalto University
<p>Fundamental and current topics of deep learning. Implementing algorithms on a computer are a part of the course and the programming language is Python. Python-based softwares that allow for symbolic differentiation will also be used.</p> |
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Design & Innovation in Context D
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October 2025 | 6 | |
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Aalto University
<p>Expert entrepreneurs: a) spot patterns where others see chaos, b) are grounded in a deep and empathetic understanding of the context within which customers operate and/or solutions sought, c) prototype potential solutions quickly and cheaply to g |
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Design and Analysis of MEMS D
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September 2025 | 5 | |
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Aalto University
<p>Micro-electro-mechanical systems such as inertial sensors, piezoactuated ultrasonic transducers and resonating sensors, optical mirrors, fabry-perot interferometers and microfluidic systems. Physical operating principals, design of actuators and |
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