诺丁汉大学机器学习科学专业 项目网站

Machine Learning in Science

英国 公立

项目背景

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更新时间:2024-02-20

专业排名201

大学诺丁汉大学

开学时间9月

课程学制1年

学费28600.00/GBP

专业介绍

The development and use of machine learning (ML) and artificial intelligence (AI) have revolutionised areas such as computer vision, speech recognition and language processing. On this course you will learn how to apply ML and AI techniques to real scientific problems. This will help you build vital skills, enhancing your employability in a rapidly expanding area. Graduates of this course will learn how to: identify and use relevant computational tools and programming techniques apply statistical and physical principles to break down algorithms, and explain how they work design strategies for applying machine learning to the analysis of scientific data sets. In addition, you will develop a broad set of transferable skills, including communication, critical thinking, and problem-solving

推荐顾问

世界排名

2020年

201

2019年

201

2018年

151

2017年

151

语言要求

类型
雅思
托福
PTE
Listen
6
19
65
Speak
6
22
65
Read
6
20
65
Write
6
19
65
总分
6.5
90
71

学术要求

相关专业(如物理,数学,计算机,化学,工程);2.2学位+工作经验可以个案评估

课程设置

Core modules:核心模块 Machine Learning in Science - Part 1:科学中的机器学习-第1部分 Machine Learning in Science - Part 2:科学中的机器学习-第2部分 Machine Learning in Science - Project:科学中的机器学习-项目 Optional modules:可选模块 Big Data and Cloud Computing:大数据和云计算 Designing Intelligent Agents:设计智能代理 Computer Vision:计算机视觉 Professional Ethics in Computing:计算中的职业道德 Introduction to Practical Quantum Computing:实用量子计算导论 Neural Computation:神经计算 Pathways:路径 Choice between computer science or mathematics focused ML module:在计算机科学或以数学为重点的ML模块之间进行选择 Choice between long or short computing module:在长计算模块或短计算模块之间进行选择

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