Studying at Buckingham - Computing Taster webinar

Date and location
17 August 2024, University of Buckingham - Virtual, online

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Join this webinar to enjoy a sample of our teaching. Theme: Machine Learning in Ultrasound Image Analysis for Helping Early Cancer Diagnosis Cancer can be a life-threatening disease. Ultrasound imaging has been widely used to assist doctors in diagnosing cancers. However, although ultrasound imaging is safe and non-intrusive, the poor image quality poses a serious challenge for radiologists to interpret the image correctly. Yet, experienced radiologists are constantly in short supply. AI/Machine Learning, particularly deep learning has shown its huge potential in medical image analysis for cancer diagnosis in recent years. This talk introduces some recent work in this field. The talk will highlight the great potentials of AI in medical image analysis.
Sat 17 August 2024 - 11:00 to 12:00

This webinar will illustrate how the Buckingham degree programmes provide a unique grounding in developing the knowledge and skills you will require to begin a successful career in Computing. Our offer is unique because of our tutorial teaching model and flexibility of study with two entry points and a chance to finish your degree in as little as two years! Our degrees are accredited by the British Computing Society (BCS) and include opportunities to engage in real-world work experience.

The webinar will explain how we provide paid online and in-person micro-internships via the B-Enterprising scheme.

During the webinar, we will tell you about our state-of-the-art facilities including an extensive range of robotics, VR and AR equipment including the Birdly simulator, and Cyber and Gaming labs. We will explain the flexibility we offer if you are unsure which specialism is right for you and how we cover all aspects the knowledge required for your career in Computing. The webinar will explain how through studying this programme, students learn how to specify, design, develop and operate efficient and innovative computer-based systems and gain up-to-date knowledge of the relevant computing technologies at an advanced level within a shorter space of time.

At a taster webinar, you will meet a member of the academic team who will explain these aspects of our offer and more. There will an opportunity for you to ask questions to both current students and academic staff via online chat.

This is a live online event. To attend please register to receive a link to this event. A recording will be available on request following the event.

Virtual taster admission: free


Rosie Johnson
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