项目背景
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更新时间:2024-11-13
开学时间9月
课程学制1年
学费30750.00/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
语言要求
Write
6
19
65
总分
6.5
90
71
学术要求
专业领域:物理,数学,计算机,化学,工程。2.2学位+相关工作经历,也可以个案评估。
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
申请案例
学生姓名:李**
毕业学校:西安邮电大学
本科专业:计算机科学与技术
基本背景:
一年级/GPA80.22/100/雅思0