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Master of Science in Engineering in Computer Science and Engineering - Databases and Data Mining (Efficient Querying of Materials)

在密西根大學安娜堡分校
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United States

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課程級別

碩士學位課程

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2 Semester(s)

location

26 August 2024

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6.5 IELTS

The master’s degree in CSE is primarily intended for students desiring to substantially advance their knowledge and skill in a field or fields of CSE. The relatively small investment in time to get a master’s degree will lead to greater professional opportunities and significantly higher salaries. The database group’s research is focused on building the data management infrastructure for the twenty-first century, with particular emphasis on issues surrounding Big Data, including stream processing, approximate query answering, text mining, data integration, information extraction, and data sharing. We have a strong emphasis on database usability. Our approach is to understand at a fundamental level what it is about the data model and representation that make it hard to use and query. In addition, we have a very strong data science effort, with particular emphasis on the effective integration and efficient querying of materials and biological data. The growth of Web services, sensor networks, and high-capacity storage devices have led to an explosion in the quantity and diversity of data suitable for data mining. Statistical techniques are critical for data mining, but are certainly not the only important part, our work also includes novel applications, software infrastructure for large-scale analytics, privacy preservation while mining data, and new methods and interfaces that extend human capabilities to find patterns in graph and other data. Results so far include effective prediction of cardiac and epileptic events in medical patients, large-scale data extraction from the Web, large efficiency gains in Hadoop and Spark frameworks, and efficient exploration of large-scale real-world networks, including social, communication and brain networks.

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  • 課程總長: 2 Semester(s)
  • 費用: 無法取得
In學年take 位置
Fall (August), 2024 Ann Arbor
Fall (August), 2025 Ann Arbor

Entry requirements for 密西根大學安娜堡分校

TOEFL ibt: 84, TOEFL Paper/Pencil TOEFL and TWE (For tests taken prior to July 2017): 560 and Revised Paper Delivered Test (For tests taken July 2017 or later) An overall score is not provided for this test. Minimum section scores: Reading = 23, Listening = 23, Writing = 21. IELTS: 6.5. Applicants complete a bachelor?s degree from a U.S. college or university accredited by a regional accrediting association, or complete an international degree that is equivalent to a U.S. bachelor?s degree from a college or university recognized and approved by the Ministry of Education or Commission responsible for higher education in the country where the degree is earned.

English language requirements

托福(TOEFL iBT)總分: 84.0

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