学历文凭
Masters Degree
专业院系
计算机科学
开学时间
课程时长
课程学费
国际学生入学条件
Three references, at least two academic
Proof of English language proficiency, if applicable. TOEFL 100 (writing 26, speaking 26), IELTS 7.5 (writing 7.0, speaking 7.0)
IDP—雅思考试联合主办方
雅思考试总分
7.5
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- 雅思总分:7.5
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:PTE (Academic) - 68 (writing 65, speaking 65)
课程简介
The David R. Cheriton School of Computer Science has an international reputation in teaching, academics, research, and employment. We attract exceptional students from all over the world to study and conduct research with our award-winning faculty. You can participate in research projects in a wide variety of topics with our internationally acclaimed researchers. Our research spans the field of computer science, from core work on systems, theory and programming languages to human-computer interaction, DNA and quantum computing to theoretical and applied machine learning, just to name a few. As a graduate student, you will: Access research-intensive lab spaces. Gain the opportunity to publish your work in top conferences and journals. Present at premier conferences in front of peers, industry leaders, researchers, and experts in your field. As a graduate student, you will have the independence to pursue your preferred area of research with a faculty supervisor, or complete eight courses to fulfill your degree requirements through the coursework option<br><br>The study of the design, analysis and implementation of algorithms is at the heart of computer science. It is difficult to envision any large-scale computer application, such as an operating system, compiler, large-scale database system or computer graphics package that does not rely on the use of effective algorithms and data structures. Researchers in our group explore a variety of algorithm types and areas of application. Applications include computational geometry, graph theory (including graph drawing), bioinformatics, learning theory, network routing, search engines, database systems, quantum computing, number theory and formal languages. Approaches include the study of randomized algorithms, adaptive techniques, approximation algorithms, fixed-parameter tractable algorithms and the mathematical analysis of the performance of algorithms, as well as issues of implementation. The organization and structuring of data, fundamental to the performance of most algorithms, is a major area of study. Computational complexity is the study of the inherent limits of efficient computation measured in terms of time, space and other resources such as randomness. Our group includes researchers in various aspects of complexity theory including Kolmogorov complexity, as well as cryptography.
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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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