- 專業(yè)概況
- 所屬院系
- 中國(guó)學(xué)生入學(xué)要求
- 課程信息
專業(yè)概況
在這里學(xué)什么?
About This Course
Pattern recognition is a very active field of research intimately bound to machine learning and data mining. Also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input pattern. An input could be the ZIP code on an envelope, a satellite image, microarray gene expression data, a chemical signature of an oil-field probe, a financial record of a company and many more. The classifier may take a form of a function, an algorithm, a set of rules, etc. Pattern recognition is about training such classifiers to do tasks that could be tedious, dangerous, infeasible, impractical, expensive or simply difficult for humans. Pattern recognition faces many challenges in the modern era of massive data collection (e.g. in retail, communication and Internet) and high demand for precision and speed (e.g. in security monitoring and target tracking). New methodologies are needed to answer these application-born challenges.
所屬院系
進(jìn)入哪個(gè)院系學(xué)習(xí)? School of Computer Science and Electronic Engineering
中國(guó)學(xué)生入學(xué)要求
為來(lái)自中國(guó)的學(xué)生設(shè)計(jì) Bachelor degree with minimum of 65% from a recognised university in China (211 university) OR Bachelor degree with minimum of 70% from a recognised university in China (non 211 university). Mature students will be considered on a case by case basis. If you do not meet the requirements for entry onto a Masters Degree in Bangor Business School then we can consider you for entry onto International Incorporated Masters. IELTS 6.0 (5.5) or equivalent. Some courses have higher English Language Requirements.
課程信息
學(xué)制:全日制(2 年)
學(xué)費(fèi):
開學(xué)時(shí)間:預(yù)計(jì)在九月 2022
申請(qǐng)截止日期:
留學(xué)地點(diǎn):Bangor UniversityBangor (Wales),LL57 2DG, Wales