Technology and AI Oxford University Department for Continuing Education
In the event of any change we’ll consult and inform students in good time and take reasonable steps to minimise disruption. This module provides a comprehensive introduction to ai engineer degree computer vision
and practical skills for solving real-world applications. You are given the opportunity to combine your developing CCT knowledge with your programming abilities.
We will cover the process needed to take the main principles of digital communications such as digital modulation and detection. This course is intended to give students an outline of how wireless communication and computer networks work « above the physical layer ». This includes the interoperability of wireless networks such as WiMax/GPRS and WiFi to provide WiFi on trains etc.
Embedded Computer Systems
You will work closely with your lecturers and supervisors to carry out a major project on the AI topic that you want to specialise in. Chat with current students and King’s staff to find out about the courses we offer, life at King’s and ask any questions you may have. « AI is quite unique in having very deep theoretical foundations as well as tremendous industrial applications…the MSc in AI does a very good job at letting you experience both. » « The group project was an incredible opportunity to work as a team with an external start-up, and learn how to design and build efficient, production level code. » « The MSc in AI undoubtedly gives its graduates a solid foundation on which to build a career in industry or academia. »
Where a course has additional expenses, we make every effort to highlight them. These may include optional field trips, materials (e.g. art, design, engineering), security checks such as DBS, uniforms, specialist clothing or professional memberships. You will find more information on country specific entry requirements in the International https://www.metadialog.com/ section of our website. Methods of assessment will vary according to subject specialism and individual modules. Most stage three modules are assessed by a combination of coursework and end-of-year examination. Projects are assessed by your contribution to the final project, the final report, and oral presentation and viva examination.
Our MSc Artificial Intelligence covers specialist modules in programming, AI, applied machine learning, data mining robotics and intelligent systems, and computer vision, as well as modules that prepare you for your individual AI project. Throughout the module, students will learn to embed data analysis and statistics concepts into a programming language which offers good support for AI (e.g., Python). Students will learn to use important AI-purposed libraries and tools, and apply these techniques to data loading, processing, manipulation and visualisation. Cyber Security Team Project is a module that equips students with the knowledge needed to keep an organisation secure from today’s cyber security threats and presents the necessary steps to take when a breach occurs. Using a combination of learning methods and teaching techniques such as project based learning, active learning and case studies, this module teaches cyber security management principles that are needed to secure the digital assets of an organisation.
Can I study AI without coding?
However, the traditional perception of AI being complex and heavily reliant on coding has deterred many from exploring this exciting field. In recent years, advancements in technology have given rise to no-code and low-code AI solutions, enabling individuals to learn and implement AI without extensive coding knowledge.