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英国人工智能/机器学习
/ 南安普顿大学人工智能专业
项目背景
`更新时间:2024-04-15
专业介绍
Enhance your knowledge with a master's in artificial intelligence (AI) at the University of Southampton. Our researchers draw on their own research to offer modules on state-of-the-art fields like computer vision, robotics and machine learning.
You can choose among these to develop the specialist skills you'll need for further study or a career in application development.
This AI master's will give you a solid grounding in traditional artificial intelligence, and you'll study emerging topics like:
intelligent agents
deep learning
evolutionary algorithms
bio-inspired robotics
simulation modelling
We’ll give you access to specialist project labs, computer workstations, and online tools to support your learning in an ideal environment. Our researchers will equip you to handle new and unique challenges in a variety of specialist AI fields. At the end of the course, you’ll be able to design, build, analyse and problem-solve in many areas relating to artificial intelligence.
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语言要求
类型
雅思
托福
PTE
Listen
6
21
64
Speak
6
23
64
Read
6
22
64
Write
6
21
64
总分
6.5
92
68
学术要求
相关专业（如计算科学，程序开发，软件工程，人工智能，数学，电子，数据，网络）+含一门线性代数，一门编程，以及一门人工程/机器学习/advanced algorithms科目+最好有密码学，软件，数据结构，数据库，网页，网络及电子类科目
课程设置
Mandatory 必修
Foundations of Artificial Intelligence：人工智能的基础
Foundations of Machine Learning (MSc)：机器学习基础 (MSc)
Intelligent Agents：智能代理
MSc Project：MSc项目
Machine Learning Technologies (MSc)：机器学习技术 (MSc)
Research Methods and Project Preparation：研究方法与项目准备
Optional 选修
Foundations of Artificial Intelligence：人工智能的基础
Foundations of Machine Learning (MSc)：机器学习基础 (MSc)
Intelligent Agents：智能代理
MSc Project：MSc项目
Machine Learning Technologies (MSc)：机器学习技术 (MSc)
Research Methods and Project Preparation：研究方法与项目准备
Advanced Machine Learning：高级机器学习
Algorithmic Game Theory：算法博弈论
Bayesian, Active & Reinforcement Learning：贝叶斯、主动和强化学习
Biologically Inspired Robotics：受生物启发的机器人技术
Biometrics：生物识别
Computational Finance：计算金融
Computer Vision (MSc)：计算机视觉 (MSc)
Data Mining：数据挖掘
Deep Learning Technologies：深度学习技术
Differentiable Programming and Deep Learning：可区分编程和深度学习
Evolution of Complexity：复杂性的演变
Image Processing：图像处理
Knowledge Graphs for AI Systems：人工智能系统的知识图
Natural Language Processing (MSc)：自然语言处理 (MSc)
Simulation Modelling for Computer Science：计算机科学的仿真建模
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