關於課程
PhD and MPhil projects are available across a range of areas including Software and Systems Engineering, Computational Neuroscience and Biomedical Engineering, Evolutionary Systems, Machine Learning and Computational Intelligence.
Computational Neuroscience and Biomedical Engineering: we research applications and methods of computational modelling and analysis with the aim to understand how neural systems work and to design engineering solutions for biomedical problems that involve abnormal or lacking neural control.
Evolutionary Systems: we work on the development and analysis of neuroevolutionary systems to advance understanding of the capacity of evolutionary processes to generate increasingly intelligent behaviours in virtual creatures.
Software and Systems Engineering: we carry out research in the areas of complex systems, computational systems, knowledge modelling, human-computer interaction (HCI), user-centred design (UCD), ‘big data’ analytics, e-Learning and biological system design. We also have research interests in computer vision, cultural informatics, wearable systems and health technologies. Together our research themes have applications and strong relevance to health, education and smart energy.
Machine Learning and Computational Intelligence: AI (deep learning, reinforcement learning, federated learning) and data analytics for various IoT and smart energy and smart city applications, fog/edge computing, digital twin.
Computational Neuroscience and Biomedical Engineering: we research applications and methods of computational modelling and analysis with the aim to understand how neural systems work and to design engineering solutions for biomedical problems that involve abnormal or lacking neural control.
Evolutionary Systems: we work on the development and analysis of neuroevolutionary systems to advance understanding of the capacity of evolutionary processes to generate increasingly intelligent behaviours in virtual creatures.
Software and Systems Engineering: we carry out research in the areas of complex systems, computational systems, knowledge modelling, human-computer interaction (HCI), user-centred design (UCD), ‘big data’ analytics, e-Learning and biological system design. We also have research interests in computer vision, cultural informatics, wearable systems and health technologies. Together our research themes have applications and strong relevance to health, education and smart energy.
Machine Learning and Computational Intelligence: AI (deep learning, reinforcement learning, federated learning) and data analytics for various IoT and smart energy and smart city applications, fog/edge computing, digital twin.
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開始日期及學費
學費僅供參考。立即與我們的留學顧問聯繫了解最新資訊。
- 課程總長: 3 Year(s)
- 費用: 無法取得
In學年take | 位置 |
---|---|
Open intake available until (December), 2024 | Staffordshire |
Open intake available until (December), 2025 | Staffordshire |
Open intake available until (December), 2026 | Staffordshire |
如何申請
Entry requirements for 基爾大學
Honours degree with a first or 2.1 classification, or the equivalent if you have been educated outside the UK. All Official Transcripts. IELTS - 6.0 (subtests 5.5).
English language requirements
托福(TOEFL iBT)總分: 87.0
最後申請期限:
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