计算机科学数学硕士-人工智能
Master of Mathematics in Computer Science - Artificial intelligence and machine learning

学历文凭
Masters Degree

专业院系
人工智能与机器人

开学时间

课程时长

课程学费

国际学生入学条件
An Honours Bachelor degree in Computer Science or Engineering (or equivalent degree) with at least a 78% standing.ResumeSupplementary information form (SIF)The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirementIf a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completionTranscript(s)ReferencesThree references are required; at least two academic
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雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:93
- 托福笔试总分:160
- 其他语言考试:PTE (Academic) - 63 (writing 65, speaking 65)
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课程简介
计算机科学学院提供的研究生课程可导致数学硕士(MMath)或博士学位。人工智能小组在人工智能的许多领域进行研究。该小组对智能交互模型抱有浓厚的兴趣
Artificial intelligence and machine learning are broad research areas within computer science that encompass a number of topics related to the design of computer systems that perform tasks conventionally associated with human intelligence. These areas overlap with several other research areas both within and beyond computer science, including algorithm design, information theory, statistics, optimization, scientific computation, human-computer interaction, and more. Machine learning is concerned with the analysis and development of methods to explore, discover, visualize, and model structure in data as well as to make predictions and decisions based on that structure. Data is often incomplete, noisy, non-homogeneous in structure and large in size (e.g., large number of observations or dimensions, or both). Special attention is paid to the development of computationally efficient (with respect to time and memory usage) algorithms. Research includes the mathematical and computational analysis of the statistical methodology, the development of new techniques, algorithms, and software, and the application of these to complex problems from other areas.
Artificial intelligence and machine learning are broad research areas within computer science that encompass a number of topics related to the design of computer systems that perform tasks conventionally associated with human intelligence. These areas overlap with several other research areas both within and beyond computer science, including algorithm design, information theory, statistics, optimization, scientific computation, human-computer interaction, and more. Machine learning is concerned with the analysis and development of methods to explore, discover, visualize, and model structure in data as well as to make predictions and decisions based on that structure. Data is often incomplete, noisy, non-homogeneous in structure and large in size (e.g., large number of observations or dimensions, or both). Special attention is paid to the development of computationally efficient (with respect to time and memory usage) algorithms. Research includes the mathematical and computational analysis of the statistical methodology, the development of new techniques, algorithms, and software, and the application of these to complex problems from other areas.
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学校排名
世界排名
201
数据源:泰晤士高等教育世界大学排名
关于滑铁卢大学

滑铁卢大学是加拿大滑铁卢市的一家著名大学,是一所以研究为主的中等大小的公立大学,创建于1957年。以数学、计算机科学、工程学而闻名。该校位于安大略省的西南面的滑铁卢市,占地面积约为1000英亩。滑铁卢大学成立至今,仅数十年便跻身加拿大名校之列,是加拿大发展最快的学校。2011年到2013年,该校一直稳居麦克林杂志评选的加拿大综合性大学排名的第三位,是北美地区最优大学之一,其数学,计算机科学和工程学科教学水平居世界前列。特别是做为北美地区第一个经认可建立数学系的大学,拥有世界上最大的数学系以及世界上最大的合作办学项目。学校共授予100多个本科学位专业,28种硕士及博士学位专业,学校的代表队曾多次获得ACM 国际大学生程序设计竞赛的冠军。
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