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[PS/CV] PS中关于为什么选这个学校的陈述部分想问问各位的建议

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stoneZh 发表于 2017-11-12 17:17:24 | 显示全部楼层 |阅读模式

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PS里单独开了一段来陈述为何选择申请这所学校的cs硕士项目,写的时候感觉有很多拿不准的地方:
1: 会写到项目的某些老师,这些老师的列表我都是从cs部门的页面上的research group里查的感兴趣的教授,但是我不确定他们是不是会带硕士的课,这里又什么确认的方法吗?
2: 文书修改机构建议开头不要写“这个项目很有名”,“这个学校是常春藤联盟所以我考虑他的项目”等等,我也不知道到底要不要写
3: 说项目课程如何吸引我的时候我现在就是从课程列表里选了一两个感兴趣的提一下,这里有没有细说的必要

.鐣欏璁哄潧-涓浜-涓夊垎鍦整体结构目前是第一点说课程,第二点说师资&实验室,第三点说地理位置。

举个栗子:Brown的cs项目:. more info on 1point3acres.com

Because of the great impact machine learning can impose on the society we live in, in the short term after graduation, I would like to continue pursue a Ph.D. degree in order to study more advanced theories in the field of machine learning and Natural Language Processing. In the long term, I dream of being a leader in the development group to analyze human thinking in a more natural way. I also realize that new techniques can benefit society better with more precise understanding of human intent and more natural feedback Therefore, I believe that the Master of Science in Computer Science degree at Brown is my top choice since it matches my career goal perfectly.

Firstly, this program is no doubt a competitive and top-notch computer science program. Courses including CSCI1410 Artifical Intelligence, CSCI1420 Machine Learning and CSCI1470 Deep Learning can guide me on the professional field of artificial intelligence, and the Brown Laboratory for Linguistic Information Processing (BLLIP) can be the ideal place for further exploration with support of the impressive corpus collection and  publications like A Maximum-Entropy-Inspired Parser. Secondly, the MSCS program is flexible with three tracks to select.  I prefer to choose the thesis track, since this research-oriented can be helpful in my future Ph.D. study. Also, great professors such as Prof. Eugene Charniak and Prof. Stefanie Tellex lead fascinating research in deep learning and NLP. The program is known for encouraging students to actively seek out topics they are interested in learning and develop courses around them while preparing students pretty well to go get a job.  Last but not least, Brown University conveniently locates in Providence. This is helpful for the future development in big companies including Google and Facebook.
. 鍥磋鎴戜滑@1point 3 acres
FK2469 发表于 2017-11-12 18:06:06 | 显示全部楼层
可以通过课号查schedule,然后你连讲义都能看到了…不过因学校而异,现在有的学校学坏了,需要permit code才可以,楼主可以试试。

另外,真的不用提“常春藤”什么的…这属于冗余信息,没有关于你的信息呈现出来啊。哪怕你说你小时候从课外书上看到所以心怀向往也别直接提好啊。我开玩笑的,这样也不好(._.)
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ranmocy 发表于 2017-11-12 18:43:52 | 显示全部楼层
同问。感觉大家写的都差不多。
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滚动的西瓜 发表于 2017-11-12 19:53:42 | 显示全部楼层
无所谓老师有没有你这个专业的课,说出来就好了啊,没有课课后也有时间一起做研究、交流什么的。
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LukeDong 发表于 2017-11-12 20:37:13 | 显示全部楼层
感觉大家都这么写的。。
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 楼主| stoneZh 发表于 2017-11-16 22:19:33 | 显示全部楼层
FK2469 发表于 2017-11-12 18:06. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
可以通过课号查schedule,然后你连讲义都能看到了…不过因学校而异,现在有的学校学坏了,需要permit code ...

没看到提醒,回晚了抱歉~
感谢建议,我现在都来粗暴的直接上Google搜课程编号省得在官网里乱转
那个“小时候的故事”我扔ps开头了
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 楼主| stoneZh 发表于 2017-11-16 22:21:30 | 显示全部楼层
改来改去又核实课程之类的,感觉还要加点课程详情?虽然都是从课程主页里抄的。。。

When it comes to my career goal,  in the short term after graduation, I want to participate in the development of real machine learning system in great technology companies such as IBM and Google. In the long term, I dream of being a leader in a development group to analyze human thinking in a more natural way.  To fulfill my career goal, I consider the Master of Science in Intelligent Information Systems (MIIS) degree as a top choice. The reasons are as follows.

Firstly, I appreciate the well-structured curriculum which offers in-depth theoretical and hands-on knowledge of language technologies such as Natural Language Processing, Information Retrieval, Text Mining, etc. The three depth areas and approved qualifying courses offer challenging courses. I expect to gain multi-variate probabilistic modeling knowledge from 10-708 Probabilistic Graphical Models, and are eager to explore hands-on coding projects with my solid Java and probability background in 11-711 Algorithms for NLP. Secondly, the MIIS program emphasizes on practice experience in areas of analysis of unstructured and semi-structured information. I conclude from my past experience that the key to mastering nature language processing lies in practice. The internship in the summer semester is a good chance to work in real programs, and the capstone projects allow for an innovative try and collaboration in large software applications before entering industry. I appreciate the practice-oriented spirit of MIIS program. Last but not least, the city of Pittsburgh is an ideal place for my future development. Several great technology companies such as Google, Facebook and Uber are all located in Pittsburgh, which provides me with more chances to experience the business atmosphere. Therefore, I earnestly hope my high academic performance, my solid preparedness and my readiness to contribute to and learn from scholars in the MIIS program will earn me an offer of admission.
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