关于TOEFL电脑考试的推行，很多考生问到TOEFL电脑考试与纸笔考试的成绩的换算，以及计算方法等等。现将两种考试形式的分数对照表列在下面，供考生参考。托福纸笔考试满分是677分，电脑考试满分为300分，且计算方法不同。下面是教育考试服务中心公布的两种考试的分数对照表。

　　纸笔考试　　　　　电脑考试

　　660-677　　　　　　287-300
　　640-657　　　　　　273-283
　　620-637　　　　　　260-270
　　600-617　　　　　　250-260
　　580-597　　　　　　237-247
　　560-577　　　　　　220-233
　　540-557　　　　　　207-220
　　520-537　　　　　　190-203
　　500-517　　　　　　173-187
　　480-497　　　　　　157-170
　　460-477　　　　　　140-153

“十要” 

1. 一定要追求深度而非广度;把精力投入在一两个主题或经历上.
2. 一定要写别人不可能写的东东.
3. 一定要让评委看到你的精神—–你之所以是你而不是别人的内在实质.
4. 一定要实事求是,不要以为”理想的你”就是”现在的你”.
5. 一定要不落俗套,特别是头几句.
6. 一定要就各校的引人之处做各别评论.
7. 一定要描写性格中的积极面;过失和错误在附录中解释.
8. 一定要评价个人经历而非简单地讲故事.
9. 一定要请别人为你修改语法,标点,用词和风格.
10. 一定要选择易辨的字体,采用通用的行距和白边.

“十不要” 

1. 不要写流水账式的简历;不重复他处已有的信息.
2. 不要抱怨生活境遇;不过,与未来事业有关的建设性批评无伤大雅.
3. 不要像街头演说家一样向评委布道;表达观点无可非议,但不能狂热或极端
4. 不要承认钱是求学动机之一.
5. 不要空谈少数民族身份和 邮票尘?当然若有撼人故事则不同.
6. 不要提及学校排名.
7. 不要写无意义的开头结尾.
8. 不要采用怪异风格或包装.
9. 不要不顾学校要求随意寄其它材料.
10. 不要写错校名.

1. Where you are from in China, and a sentence or two about your town and your parents.
2. What you planned to take when you first arrived at USTC in Hefei.
3. Why you became a statistics major.
4. Modestly describe how you have done there as a student. Include one sentence explaining the grade in the math. statistics class.
5. Describe what you would like to study in graduate school, and what you now think you would like to do after you earn a Ph.D. If you aren’t quite sure yet, just say that.

I viewed the homepage of Graduate School, the Rockefeller University. The campus of RU is adjacent to Weill Medical College of Cornell University, where Zhonghua and TianYuan stay. I found some labs I interest in, so I filled out the from to request “Graduate Program Application Package”.

“The impact of mathematics and computation will extend to every area of biology. Today, the so-called wet labs are rapidly becoming wired labs. Highly sophisticated quantitative approaches are already key to progress in such diverse areas as neural networks, drug discovery, molecular epidemiology, combinatorial chemistry and modeling the complex signaling systems that control cell behavior and brain function. Through the Bioinformatics and Computational Biology Program, The Rockefeller University seeks to produce quantitatively oriented scientists who understand how biologists work and how computation can be used to conduct biological e xperiments on an unprecedented scale and level of complexity.” –Bioinformatics and Computational Biology

Focuses:

1. Laboratory of Biological Modelling

Head: Reeke, George N. Associate Professor

“By developing computer models of functioning neural systems, we seek a greater understanding of how physical phenomena in the nervous system give rise to mental phenomena and behavior.”

KEYWORDS: nonlinear systems; complex systems; simulation; nervous system; modelling

2. Laboratory of Computational Genomics

Head: Gaasterland, Terry Associate Professor

“Projects in the laboratory focus on the automated annotation of eukaryotic and microbial genome sequence data (genomes, chromosomes, contigs, and cDNA clones), the semi-automated annotation of gene expression data, and the integration of gene expression and genome sequence analysis.”

KEYWORDS: integrate, analyze, visualize, high throughput, molecular biology, genome

3. Laboratory of Statistical Genetics

Head: Ott, Jürg Professor

“Our work falls into three broad categories: 1) developing new and improving existing statistical analysis methods, 2) implementing these methods in computer programs and making these available on our web site and 3) applying the resulting techniques to genetic data, which are generally collected by outside investigators.”

TODO: There are more programs in NY-BCB(New York Area Research in Bioinformatics and Computational Biology). Sometime take a look.