大学英语作文常考范文 - 作文仓库

大学英语作文常考范文【一】

在所有的花中我最喜爱的要数牵牛花。

牵牛花在那缀满了花朵的绿叶中，开出了一朵朵小喇叭花，有红的、白的、紫的，有娇嫩有鲜艳，那朵朵像彩色小喇叭的花，叫人越看越爱看。稠密的绿叶子衬托着各种颜色的“小喇叭”，远远望去好象挂着一匹漂亮的花布，叫人看出很舒服，很顺眼。走近一看，一股清香迎面而来，真可谓清香四溢。

我喜爱牵牛花，是由于它的生命力很旺盛，不需要浇水，不需要施肥，不一定要看护。它在阳光的哺育下，不懈地攀登。那细长的身子弯曲了，可这没有阻止它前进的脚步。等它那细身子攀到了树的顶端时，便会开出一朵朵美丽的花，恰似小喇叭，迎着春风快乐地歌唱。

看看纯洁玲珑的花儿，嗅嗅浓郁的芳香，真令人陶醉。

初秋，我家的院子南边有一蔟牵牛花，把院子点缀得格外美丽，叶子就像一群群蝴蝶扑打着翅膀。一阵风吹过，全部叶子就漾起波纹，好看得很。

牵牛花刚长出来的叶子是绿色的，绿得碧玉，像翡翠，让看了心醉，叶子越长越大，藤越长越长，顺着篱笆往上爬，越爬越高。到了八月份，牵牛花天天清晨伴着太阳开放。红色的、紫色的、白色的、粉红的，一朵朵花儿就像一个个小喇叭，所以大家又叫它“喇叭花”。太阳落山了，牵牛花也谢了。第二天早晨，有一批新的花伴着太阳开放了。

初冬，牵牛花全部开完了，叶子也枯黄了。这个时候它的`茎上长出了一个个像含苞未放的花骨朵儿一样的东西，那里面孕育着新的生命种子。西北风一到，“花骨朵儿”的外壳自动会裂开，黑色的种子随风飘落在泥土里。严寒的冬季一过去，黑色的小生命又会破土而出。等待秋季的到来，我家美丽的牵牛花又会和我再见面了！

大学英语作文常考范文【二】

信头是指发信人的姓名(单位名称、地址和日期，一般写在信纸的右上角。一般公函或商业信函的信纸上都印有单位或公司的名称、地址、电话号码等，因此就只需在信头下面的右边写上写信日期就可以了。

英文地址的写法与中文完全不同，地址的名称按从小到大的顺序：第一行写门牌号码和街名;第二行写县、市、省、州、邮编、国名;然后再写日期。标点符号一般在每一行的末尾都不用，但在每一行的之间，该用的还要用，例如在写日期的时候。

其中日期的写法，如1997年7月30日，英文为：july 30，1997(最为普遍;july 30th，1997;30th july，1997等。1997不可写成97。

大学英语作文常考范文【三】

yesterday i read a book the name of the book is《dr bethune》.

dr bethune was a famous doctor from canada. in 1938 he came to china. at that time china was at war with japan. he worked as a doctor in the chinese army and saved many soldiers’ lives. he worked very hard and became sick. dr bethune died in 1939. he was only 49 years old. he was a good man and we remember him today.

i think the book is very very good!

written by wu qingxiang

mar. 31

how to do research

——reading after a science paper

these days i am busy preparing my dissertation which is about web usage mining . i read some english papers and learnt much from them . and now i want to say something about a paper titled “web usage mining：discovery and applications of usage patterns from web data”.

this is the first english paper i read about dissertation and gave me great help .

this paper is a review about web usage mining. it introduced web usage mining in detail . although it is a little old for it was published in its contents are very useful today . it is organized according to the sequence of web usage mining and the six main parts are introduction which tells me what is web usage mining the sources and abstraction of web data the three steps of web usage mining taxonomy and project survey websift overview privacy issues . the third and fourth parts are most important . it had a list of existing project about web usage mining which i saw many times in other papers but this paper is the one creating this list . besides it has been referred for more then twenty times . as we all know that the higher the referred number is the more important the paper is so i consider this paper to be an important and successful one in this region.

in my opinion the success of this paper dues to three reasons . the first reason is the profound computer knowledge owned by the authors . web usage mining relates to many subjects such as artificial intelligence ontology semantic analysis but the most basic knowledge is computer science . the four authors are all professors of department of computer science and engineering in university of minnesota . for myself i am not major in computer science and i am not very good at computers so i feel a little difficult to understand technologies used in this region.

second they had read a large number of papers before they wrote this paper . there are fifty nine references listed after main contents . “stand on the shoulders of giants” this sentence tell us a truth : one can never successful all by oneself . and what’s more learn from others can save a lot of time and energy especially for us new learner . how to learn from others is a skill all of us should master but learning doesn’t mean copy or plagiary . other people’s knowledge and production is just our foundation upon this foundation we must have our own thoughts and creation. there are many remarks in this paper where referred other’s production.

third the authors had the experience of developing a web usage mining project . they don’t just engage in idle theorizing so their comprehension on this issue is greatly profound. they know what we may meet in a real project development and they know how to resolve them . after reading this paper i also read some other papers written in chinese . some of them are not based on real project and can not give useful resolution . websift is the name of system they developed which can be used to data mining and analysis .

i wrote this article not only because it gave me much help in preparing my dissertation but also because it tells me how to study and how to do research . honesty and preciseness are two essential making a researcher must have . hard-working is the necessary condition leading to success . this is just the beginning of my dissertation i should learn from these four authors both their knowledge and their attitude to study.