Artificial Intelligence BSc Hons Undergraduate courses University of Kent

Technology and AI Oxford University Department for Continuing Education

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It introduces fundamental skills and knowledge that will help prepare you for professional employment or for business start-up. This module enables you to design and manufacture models in a variety of media using state of the art technology. From Human head design, limbs and Android skin design, you will find this useful for converting your virtual designs into a physical form. The module follows one of the two main methodologies for dealing with the phenomena of Artificial Intelligence in computer science, known as “semiotic”, “symbolic” or “logical” paradigm. In this approach, the intelligent behaviour is achieved by incorporating common sense, heuristic and expert rules of behaviour which control the programmed algorithms for information processing during their execution in real time.

Located close to the Department is our Robotics Laboratory – a purpose-built laboratory used for various robotics research projects and teaching. Within it, there is a dedicated student working area, with workstations ai engineer degree and electronics bench equipment, alongside the main 80m2 robotics arena. The level of fee that you will be asked to pay depends on whether you’re classed as a UK (home) or international student.

Theory of Computing

Diplomas that are not on the list will be considering on an individual basis and may require you to provide further details such as the curriculum and module transcripts to identify suitability. Students with suitable grades at A level or International Baccalaureate (IB) may be considered for entry to an undergraduate degree programme. Students who have completed the Pre-University Certificate (Peeshdaneshgahe) with a minimum overall GPA of 16/20 and students who have successfully completed the National Entrance Exam (Kunkur) will be considered for entry onto our undergraduate programmes. Holders of the Diplom-Metevaseth are not normally eligible for direct entry onto our undergraduate courses without completion of a suitable foundation programme, such as one of our own foundation pathways. Applicants for programmes with subject specific requirements will need to offer these as normal (please note that combined or integrated science will not normally be acceptable where a stated science is required i.e. Biology or Chemistry).

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Your lectures, practical classes, tutorials and seminars are usually held on the University campus. The Diamond is a world-class building, home to all engineering undergraduates and where most of your practical sessions will take place. Our investment of £81m in the building and £20m for lab equipment is helping us to develop innovative teaching and learning experiences. Software development often involves the improvement and adaptation of ‘legacy systems’ – well-established, business-critical software systems that might have become difficult to maintain over time. This module introduces the skill-set that is required to get to grips with such systems.

Note for EU students: UK withdrawal from the European Union

However, please note this may not be for your year of entry, but for a different academic year. Find out more about the compulsory and optional courses in this degree programme. You will choose from a large number of advanced courses in artificial intelligence and other areas of informatics to build a portfolio, according to your interests. However, if you are applying for an Informatics programme, due to high demand, we can only accept one application for a programme in this subject area. You can use your second application for any other Science and Engineering programme.

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The aim of this module is to provide an overview of a range of biomolecular, microscale and nanoscale systems and devices, including sensors. The module consists of practical work on three different systems, involving construction and characterisation wit… The key aim of this module is to provide the background and the methods for the understanding of the operation of basic analogue CMOS cells, and how to design common functions.

“A great opportunity to prepare for similar roles in the future”

The dissertation project will assess your theoretical knowledge, analytical and technological skills, as well as your decision-making potential. Our Artificial Intelligence MSc degree has been accredited with partial CITP status by BCS, The Chartered Institute for IT. This accreditation is a mark of assurance that the degree meets the standards set by BCS. As a graduate of this course, accreditation will also entitle you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute.

This module introduces the field of digital image processing, a fundamental component of digital photography, television, computer graphics and computer vision. The module will introduce the concept of usability and will examine different design approaches and evaluation methods. This module covers important aspects of algorithms, namely their correctness and efficiency. You’ll spend around five hours per week in tutorials, lectures and computer classes. You will spend around six hours per week in lectures, computer classes and tutorials. It covers fundamental programming constructs, such as types and variables, expressions, control structures, and functions.

You can choose to specialise in Computer Science or AI, or take a mixture of modules from both themes. We give students the opportunity to study the artificial intelligence and robotics and techniques necessary to build autonomous systems that will be able to change our society for the better. Artificial Intelligence is one of the current hot topics in Computer Science, and society more broadly. It is at the heart of everyday technology and the understanding and application of AI holds the key to solving many current and future real-world problems. This is why our wide range of modules allow you to delve deep into the areas of AI that interest you most and that will set you up for your future career, from Intelligent Robotics to Complex Adaptive Systems. We have invested £105m in new facilities over the past five years to offer our students an exceptional learning environment.

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The module will cover a mixture of theoretical and practical topics in the area of the Internet of Things (IoT), that is, the use of Internet technologies to access and interact with objects in the physical world. This will include coverage of the range of sensor and actuator devices available, ways in which they communicate and compute, methods for getting information to and from IoT-enabled devices, and ways of visualising and processing data gained from the IoT. A practical component will consist of building the hardware and software for a sensor network and a system to collect, process and visualise data from that network.

Tuition fees for placement years (where applicable)

Dr Zhang focuses on image and video analysis and processing; semantic media analysis; content-based multimedia retrieval, annotation and classification; multimedia systems in social environments; multimedia clustering and summarisation. In such roles, an AI professional may manage and analyse data of different types using a range of technologies, or extract knowledge of different forms from the data. In addition, they may develop advanced control and coordination mechanisms for robots, or understand the ethical impacts of AI, mitigating risks and ethical harms arising from the deployment of AI. Applicants for this degree must possess a degree in mathematics, physics, or branches of engineering, economics or other disciplines with a substantial mathematics content.

  • Students may study mechanics such as engineering and robotics while delving into courses that explore principles of logic, programming, and intelligence.
  • Dependent on a student’s choice of final year project, some additional costs may be incurred for materials to support the development and delivery of the project.
  • Deep learning, which is considered as the state-of-the-art in data science and AI, is inspired by the structure of human brain.
  • UK students enrolling on the course may also be eligible to apply for additional funding to help with living costs.
  • A major part of the module involves students working in teams to develop a web-based software system, which gives practical experience in teamwork and managing software projects and their products.

This modules provides an understanding of the design and layout of digital VLSI circuits and systems through laboratories and design exercises making use of appropriate CAD tools. The aim of this module is to provide an overview of advancement of quantum devices and technology in line with the development of nanoelectronics and nanotechnology. Students will gain knowledge of basic quantum mechanics and how the quantum mechanics are… The Individual Research Project is a 7.5 ECTS credit masters level module undertaken by independent study that allows students to demonstrate mastery of an advanced aspect of their discipline, including critical evaluation of current research and research… This course covers some advanced techniques that have the potential for application in the future generations of wireless communications systems.

How you’ll study

Our assessment practices reflect the best practices in teaching methods deployed by academic members of staff each year. Indicative assessment weighting and assessment type per module are shown as part of the module information. Again, these are based on the current academic session and are subject to change. You will be required to supply the following documentation with your application as proof you meet the entry requirements of this degree programme.

If you have not yet completed your current programme of study, then you can still apply and you can provide your Degree Certificate at a later date. Teaching and supervision on the course is undertaken by experienced academic staff who understand the value of your knowledge development applied to commercial and industrial contexts. You will find all our staff have extensive industrial or research-based backgrounds. Our philosophy is that of applied scholarship – thus, our approach to education is based on research-informed teaching that has direct value to industry and commerce and is of direct value to you as a professional in the IT industry.

Can I learn AI in 3 months?

If you're starting from scratch and learning the basics of AI, you should be able to do it in about six months. At that point, you can start looking for entry-level positions. If you're learning more complicated AI, such as data science, you may need an advanced degree that will take several years to earn.

During your time with us you will take part in group work which will allow you to develop key skills essential for both a career in industry or research. In the first case, (1), supervision is led by an academic in the Department of Computing, or by a member of staff in another department at Imperial College. There may be significant industrial involvement, and these projects can range from embracing applications of AI and machine learning in industry, to cutting-edge research, whether theoretical or more practically applied.

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Some students may choose to work as software engineers, while others prefer careers as analysts. Jobs working with machine learning applications may also be available, and new career opportunities continue to appear as the market expands.Balancing personal lives with education is a challenge for many students. A number of universities have begun offering online classes to give students the flexibility they need to succeed. To find a university that meets your needs, search for your program below and contact directly the admission office of the school of your choice by filling in the lead form. Modules, reflecting the expertise of our academic staff, will enable you to develop your professional skills and specialise in such areas as image processing, artificial intelligence, robotics and data science.

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For the MEng, the 4th year will involve team projects instead of the final year project. In both degree paths, these project based courses will enable you to develop transferable skills that are needed for your future career in engineering. You will further develop your skills in mathematics, dynamics and electronics. You will also study key skills in digital and analogue electronics, systems theory, embedded processor, programming, and electromagnetism and power electronics.

You can be confident therefore, that you will be part of an academic community that understands the value of research and knowledge creation, the impact of computing education, and the significance of its application to the world we live in. Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or ‘formative’ assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student. There is a formal or ‘summative’ assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission.

How many hours do AI engineers work?

Other AI engineers worked on computer systems design, in the federal government or in private or public colleges. Most jobs are full-time, and some exceed 40 hours a week.