About Department of Computer Science, University of Oxford

The Department of Computer Science, University of Oxford has one of the longest-established Computer Science departments in the country. Formerly known as the Oxford University Computing Laboratory, it is home to a community of world-class research and teaching.

Research activities encompass core Computer Science, as well as computational biology, quantum computing, computational linguistics, information systems, software verification and software engineering.

The department is home to undergraduates, full-time and part-time Master's students, and has a strong doctoral programme.

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Website
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Employees
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Industry
Research
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Location
Wolfson Building, Parks Road, Oxford, England OX1 3QD, GB
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Founded
1957
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Keywords
Cyber Security, Internet Of Things, Software Engineering, Big Data, Algorithms, Artificial Intelligence, Machine Learning, Computational Biology, Programming Languages, Quantum Computing, Automated Verification, Human Centred Computing

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Frequently Asked Questions about Department of Computer Science, University of Oxford

Who are the decision makers in Department of Computer Science, University of Oxford?

The decision makers in Department of Computer Science, University of Oxford are Jayne Bullock, Katherine Miles, Lucas Kello, etc. Click to Find Department of Computer Science, University of Oxford decision makers emails.

What programs does the Department of Computer Science at the University of Oxford offer?

The Department of Computer Science offers a range of undergraduate and postgraduate programs, including Bachelor's degrees in Computer Science, Master's degrees in Software Engineering, Cyber Security, and Artificial Intelligence, as well as a DPhil (PhD) program. These programs are designed to provide students with a strong foundation in computer science principles, practical skills, and research opportunities.

How does the Department of Computer Science support research in artificial intelligence and machine learning?

The Department of Computer Science has a dedicated research group focused on artificial intelligence and machine learning. Researchers work on various projects, including deep learning, natural language processing, and reinforcement learning. The department collaborates with industry partners and other academic institutions to advance research in these fields, providing students and researchers with access to cutting-edge technologies and datasets.

What opportunities are available for industry collaboration with the Department of Computer Science?

The Department of Computer Science actively seeks partnerships with industry to foster innovation and practical applications of research. Companies can collaborate through joint research projects, internships, and student placements. The department also hosts events such as hackathons and workshops, providing a platform for industry professionals to engage with students and faculty.

Can I access resources or training related to cyber security through the Department of Computer Science?

Yes, the Department of Computer Science offers various resources and training programs related to cyber security. This includes specialized courses, workshops, and seminars that cover topics such as network security, cryptography, and secure software development. Additionally, the department collaborates with organizations to provide real-world training scenarios and exercises.

What is the focus of the research in computational biology at the Department of Computer Science?

Research in computational biology at the Department of Computer Science focuses on developing algorithms and computational methods to analyze biological data. This includes work on genomic sequencing, protein structure prediction, and systems biology. The department collaborates with biologists and medical researchers to apply computational techniques to solve complex biological problems.

How does the Department of Computer Science incorporate human-centered computing into its curriculum?

The Department of Computer Science emphasizes human-centered computing by integrating user experience design, usability testing, and human-computer interaction principles into its curriculum. Students are encouraged to consider the social and ethical implications of technology, and projects often involve real users to ensure that solutions are designed with their needs in mind.

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