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USC@DTIN 纠结的录取

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clfhaha1234 发表于 2014-6-15 17:44:56 | 显示全部楼层 |阅读模式
[14Fall.MS.AD无奖][CS@DTIN@USC]通知时间: 2014-06-14
  • 背景见定位贴:

  • 本科: @ , GPA :
  • 研究生: @ , GPA :
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  • 背景的其他说明(如牛推等):
  • 提交时间: 2014-06-01
  • 结果学校国家、地区: 美国
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    眼看着USC5个志愿一个个挂掉,发邮件把EE转到了DTIN,拿到了录取……课表如下,问了学长都说水,但毕竟是大加州,还是火热的“大数据”- -……
    自己算法编程功底还行,但CS基础弱,到底是赌一把USC还是去西北求稳呢?
    . 1point3acres.com/bbs


    Requirements for completion (27 units minimum)
    Required courses (18 units) Units
    INF 550 Overview of Data Informatics in Large Data Environments 3
    INF 551 Foundations of Data Management 3
    INF 552 Machine Learning for Data Informatics 3
    INF 553 Foundations and Applications of Data Mining 3
    INF 555 User Interface Design, Implementation and Testing 3
    INF 560 Data Informatics Professional Practicum 3
    Elective courses (choose three, 9 units):
    CSCI 686 Advanced Big Data analytics 3
    CSCI 567 Machine Learning 3
    CSCI 548 Information Integration on the Web 3
    CSCI 561 Foundations of Artificial Intelligence 3
    CSCI 585 Database Systems 3
    CSCI 530 Security Systems 4
    CSCI 485 File and Database Management 3
    CSCI 572 Information Retrieval and Web Search Engines 3
    INF 520 Foundations of Information Security 3
    INF 522 Policy: The Foundation of a Success Information Assurance Program 3


    鏉ユ簮涓浜.涓夊垎鍦拌鍧.

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     楼主| clfhaha1234 发表于 2014-6-15 18:59:19 | 显示全部楼层
    课程描述:
    INF 550 Overview of Data Informatics in Large Data Environments (3, FaSp) Fundamentals of big data informatics techniques. Data lifecycle; the data scientist; machine learning; data mining; NoSQL databases; tools for storage/processing/analytics of large data set on clusters; in-data techniques. Recommended preparation: Basic understanding of engineering and/or technology principles; basic programming skills; background in probability, statistics, linear algebra and machine learning.
    . 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
    INF 551 Foundations of Data Management (3, FaSp) Function and design of modern storage systems, including cloud; data management techniques; data modeling; network attached storage, clusters and data centers; relational databases; the map-reduce paradigm. Recommended preparation: INF 550 taken previously or concurrently; understanding of operating systems, networks, and databases; experience with probability, statistics, and programming.

    INF 552 Machine Learning for Data Informatics (3, FaSp) Practical applications of machine learning techniques to real-world problems. Uses in data mining and recommendation systems and for building adaptive user interfaces. Recommended preparation: INF 550 and INF 551 taken previously or concurrently; knowledge of statistics and linear algebra; programming experience.

    INF 553 Foundations and Applications of Data Mining (3, FaSp) Data mining and machine learning algorithms for analyzing very large data sets. Emphasis on Map Reduce. Case studies. Recommended preparation: INF 550, INF 551 and INF 552. Knowledge of probability, linear algebra, basic programming, and machine learning.

    INF 554 Information Visualization (3, FaSp) Graphical depictions of data for communication, analysis, and decision support. Cognitive processing and perception of visual data and visualizations. Designing effective visualizations. Implementing interactive visualizations.

    INF 555 User Interface Design, Implementation, and Testing (3, FaSp) Understand and apply user interface theory and techniques to design, build and test responsive applications that run on mobile devices and/or desktops. Recommended preparation: Knowledge of data management, machine learning, data mining, and data visualization.

    INF 560 Data Informatics Professional Practicum (3, FaSp) Student teams working on external customer data analytic challenges; project/presentation based; real client data, and implementable solutions for delivery to actual stakeholders; capstone to degree. Recommended preparation: Knowledge of data management, machine learning, data mining, and data visualization.
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    面假空虚 发表于 2014-6-15 22:44:00 | 显示全部楼层
    额,是群里晓飞哈,你是自己申请转DTIN的?还可以这样?
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     楼主| clfhaha1234 发表于 2014-6-15 23:00:05 | 显示全部楼层
    面假空虚 发表于 2014-6-15 22:44
    额,是群里晓飞哈,你是自己申请转DTIN的?还可以这样?

    是的,我就爱折腾,不抛弃,不放弃
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    delilah171 发表于 2014-6-17 11:23:26 | 显示全部楼层
    咋申请的啊。。。跪求指导啊。。。
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     楼主| clfhaha1234 发表于 2014-6-17 13:35:30 | 显示全部楼层
    delilah171 发表于 2014-6-17 11:23
    咋申请的啊。。。跪求指导啊。。。

    如果你还有USC的项目在pending,可以给他发邮件转成申请DTIN
    USC Viterbi Graduate Admission <viterbi.gradadmission@usc.edu>
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    破喉咙 发表于 2014-6-22 12:11:03 | 显示全部楼层
    楼主最终还是选择了USC啊,为什么没去西北呢
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     楼主| clfhaha1234 发表于 2014-6-22 13:09:43 | 显示全部楼层
    破喉咙 发表于 2014-6-22 12:11
    楼主最终还是选择了USC啊,为什么没去西北呢

    感觉USC这个平台更适合以硅谷为目标的我吧……加上这个DTIN这个专业还是不错,不满意第一学期后还可以申请转CS,转不了也可以选CS课来上,读完费用还比西北低……所以还是去加州了。
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    billyli8866 发表于 2014-8-31 10:44:12 | 显示全部楼层
    clfhaha1234 发表于 2014-6-22 13:09
    感觉USC这个平台更适合以硅谷为目标的我吧……加上这个DTIN这个专业还是不错,不满意第一学期后还可以申 ...
    . more info on 1point3acres.com
    这个项目不是只能修三门cs的课吗,要6门inf有点多啊。。。
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     楼主| clfhaha1234 发表于 2014-8-31 12:16:46 | 显示全部楼层
    billyli8866 发表于 2014-8-31 10:44
    这个项目不是只能修三门cs的课吗,要6门inf有点多啊。。。

    有价值的选3门够了,想学可以去旁听嘛……不过我没去这个项目,另外这个方向适合读博,硕士出来还是码农
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    rsun 发表于 2014-8-31 13:17:02 | 显示全部楼层
    billyli8866 发表于 2014-8-31 10:44
    这个项目不是只能修三门cs的课吗,要6门inf有点多啊。。。

    其实想什么选课都是。。。。
    多选水课有助于拿到高gpa有助于多有空闲时间刷题学课堂上不教的但是工作上面试中有用的。
    真正的一学期一门有用的课不水的课就够了
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    billyli8866 发表于 2014-8-31 14:22:01 | 显示全部楼层
    clfhaha1234 发表于 2014-8-31 12:16
    有价值的选3门够了,想学可以去旁听嘛……不过我没去这个项目,另外这个方向适合读博,硕士出来还是码农
    .鏈枃鍘熷垱鑷1point3acres璁哄潧
    能做码农已经知足了。。。
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