剑桥大学高级计算机科学硕士专业 项目网站

Advanced Computer Science

英国 公立

项目背景

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更新时间:2024-01-15

专业排名6

大学剑桥大学

开学时间10月

课程学制1年

学费41694.00/GBP

专业介绍

The aim of the course is to provide preparation appropriate for undertaking a PhD programme in computer science. Students select five taught modules from a wide range of advanced topics in computer science from networking and systems measurements to category theory, and topics in natural language processing. Additionally, students take a mandatory, ungraded course in research skills which includes core and optional topics. Students also undertake a research project over two terms and submit a project report in early June. Research topic selection and planning occurs in the first term and the work is undertaken in subsequent terms. The taught modules are delivered in a range of styles. For example, there are traditional lecture courses, lecture courses with associated practical classes, reading clubs, and seminar style modules.

推荐顾问

世界排名

2020年

6

2019年

5

2018年

5

2017年

5

语言要求

类型
雅思
托福
PTE
Listen
7
25
--
Speak
7
25
--
Read
7
25
--
Write
7
25
--
总分
7.5
107
--

学术要求

领域:计算机科学;工程,科学,数学及numerate专业也可以个案评估; 科目:数学,计算机编程

课程设置

Advanced Graphics and Image Processing:高级图形和图像处理 Advanced Topics in Computer Architecture: 计算机体系结构中的高级主题 Category Theory: 范畴论 Computer Security Principles and Foundations R R: 计算机安全原理和基础R R Digital Signal Processing L L: 数字信号处理L L Interaction with Machine Learning P P: 与机器学习的交互P Introduction to Computational Semantics L L: 计算语义简介L L Introduction to Natural Language Syntax and Parsing L L: 自然简介语言语法和解析L L Large scale data processing and optimisation R R: 大规模数据处理和优化R R Machine Learning and the Physical World L L: 机器学习和物理世界L Machine Learning for Language Processing L L: 语言处理的机器学习L L Machine Visual Perception L L: 机器视觉感知L L Multicore Semantics and Programming L L: 多核语义和编程L L Natural Language Processing L L: 自然语言处理L L Network Architectures R R: 网络体系结构R R Principles of Machine Learning Systems Porto Buarque de Gusmao: 机器学习系统原理波尔图·布尔克·德·古斯芒 Research Skills Programme RSP RSP: 研究技能计划RSP RSP Theory of Deep Learning: 深度学习理论 Advanced Operating Systems: 高级操作系统 Advanced Robotics: 高级机器人 Advanced Topics in Category Theory: 范畴论中的高级主题 Advanced Topics in Computer Systems: 高级计算机系统中的主题 Advanced topics in machine learning: 机器学习中的高级主题 Cybercrime: 网络犯罪 Distributed Ledger Technologies Foundations and Applications: 分布式账本技术基础和应用 Federated Learning: 联合学习 High performance networking: 高性能网络 Mobile Health: 移动健康 Representation Learning on Graphs and Networks: 图形和网络表示学习 Research Skills Programme: 研究技能计划 Topics in Logic and Complexity: 主题在逻辑和复杂性中

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