谢菲尔德大学数据分析专业 项目网站

Artificial Intelligence

英国 公立 计算机

项目背景

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更新时间:2024-11-13

专业排名N/A

大学谢菲尔德大学

开学时间9月

课程学制1年

学费31000.00/GBP

专业介绍

This course is designed for students with a numerate background (for example a first degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry. The course focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills that are required to carry out practical analysis of the types of data sets that need to be interpreted in the modern world. These include large data sets as well as structured and unstructured data. The course makes use of techniques developed within a range of disciplines, including computer science, artificial intelligence, mathematics and statistics.

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语言要求

类型
雅思
托福
PTE
Listen
6
19
56
Speak
6
22
56
Read
6
20
56
Write
6
19
56
总分
6.5
88
61

学术要求

专业领域:numerate类专业如计算机科学,数学,经济学,工程,物理,化学。

先修科目:编程语言。

课程设置

Core modules::核心模块: Scalable Machine Learning:可扩展机器学习 Text Processing:文本处理 Machine Learning and Adaptive Intelligence:机器学习和自适应智能 Natural Language Processing:自然语言处理 Professional Issues:专业问题 Team Project:团队项目 Statistical Data Science in R:R中的统计数据科学 Data Analytics Dissertation Project:数据分析论文项目 Optional modules::可选模块: Modelling and Simulation of Natural Systems:自然系统的建模与仿真 Computer Security and Forensics:计算机安全和取证 Network Performance Analysis:网络性能分析 Parallel Computing with Graphical Processing Units (GPUs):使用图形处理单元 (gpu) 进行并行计算