学历文凭
Ph.D.
专业院系
计算机和信息系统安全
开学时间
课程时长
课程学费
国际学生入学条件
Transcripts (unoffical is acceptable,)
Graduate Records Examination (GRE scores), institition code 5814.
Statement of purpose
Letters of recommendation
CV/Resume
Publications/Presentations (optional)
For the Maryland Max Planck PhD Program in Computer Science, follow the admissions instructions for that program.
iBT TOEFL - 96 Overall (Speaking 22, Listening 24, Reading 26, Writing 24)
IELTS - 7 Overall (Listening 7, Reading 7, Writing 7, Speaking 6.5)
The Graduate School requires as a minimum standard an average of 3.0 on a 4.0 scale in all undergraduate courses taken at a regionally accredited college or university.
IDP—雅思考试联合主办方
雅思考试总分
7.0
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- 雅思总分:7
- 托福网考总分:96
- 托福笔试总分:160
- 其他语言考试:PTE Requirements – 68
课程简介
The Computer Science Department's graduate program is ranked among the top in the nation and in the top ten among public universities. Both M.S. and Ph.D degrees are offered, and almost all full-time students receive financial aid in the form of assistantships, fellowships, and grants. The Department has strong research programs in the following areas: artificial intelligence, computer systems and networking, database systems, programming languages, software engineering, scientific computing, algorithms and computation theory, computer vision, geometric computing, graphics, human-computer interaction, and bioinformatics.<br><br>Information Retrieval is an interdisciplinary area which corresponds to the process of finding relevant information units that satisfy an information need from a collection of information sources. The data is usually text although the increasing use of the web as a data repository has led to the inclusion of multimedia data such as images, videos, and sound where exact matches are replaced by similarity searches. The main component of the retrieval is a search which is facilitated by imposing an index on the underlying data. The growth of the web and the increasing popularity of smartphones and the embedding of GPS in these devices has led to the increasing importance of location as a component of all types of data and when coupled with this data is known as spatial data. Database systems that deal with spatial data and its retrieval are known as Geographic Information Systems (GIS), and the department has been in the forefront of dealing with this type of data for over 50 years.
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91
数据源:泰晤士高等教育世界大学排名
关于马里兰大学帕克分校
马里兰大学帕克分校,是um系统的旗舰创始学校,成立于1862年。um—college park 也是全美大学联盟的61个盟校之一;与美国的其它名校,如uc-berkley、ucla、michigan—ann arbor或伊利诺大学—香槟分校都有合作教学的计划。地理位置优越,环境优良,在学术声望上也有全美前50的排名。由于马里兰大学帕克分校是一所州立大学,而且又有充足的研究经费与良好的学校声誉,它与民间的公私立机构建立了不错的互信关系。um总是不吝于提供马里兰州政府、地方性实验室、或各级学校机构它们的最新学术成果;而这些地方机构也都乐于提供um的学生可供研究的数据或任何工读机会。马里兰大学帕克分校也对不少非营利性机构提供协助,经过这几年的推行,已经有了不少丰硕的成果。马里兰大学学院市分校有八个图书馆,分别为McKeldin图书馆、McKeldin图书馆、艺术图书馆、建筑图书馆、工程与物理图书馆、Hornbake图书馆、表演艺术图书馆、Shady Grove图书馆与媒体中心、化学图书馆。 学校位于位于一个名为College Park的大学城之中,与美国首府华盛顿、文化中心巴尔地摩及州首府安纳玻里斯为邻,大学与他们之间的距离均在半个小时左右,整个城镇不但闹中取静,保存着浓厚的学术气氛之外;生活品质也有别于华盛顿特区的龙蛇杂处,享有非常好的治安。马里兰大学是世界最负盛名的综合性大学之一,也是美国最著名的公立研究型大学之一和美国大学联合会(Association of American University) 60名会员之一。作为马里兰州高等教育的典范和办学规模最大的学校,马里兰大学坚持以科研为特色,每个校区下设多个学院,授予本科、硕士、博士学位和各种技术职称。马里兰大学-帕克分校(Pepperdine University)在美国大学排名2012为第53名。
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