2021年計算機軟件專業(yè)個人留學(xué)申請書
如果你打算在國外學(xué)習(xí)，很有可能，其中一個主要的吸引力就是學(xué)習(xí)外語的機會。在國外學(xué)習(xí)可以讓你有機會完全沉浸在一種新語言中，沒有比學(xué)習(xí)更好的學(xué)習(xí)方法了。這里給大家分享一些2021年計算機軟件專業(yè)個人留學(xué)申請書，歡迎閱讀!
2021年計算機軟件專業(yè)個人留學(xué)申請書
Dear _,
Knowing where one is heading during navigation brings assured happiness. As a student majoring in Computer Software, I began my odyssey four years ago. Now, after the initial mysticism was gradually unveiled, my curiosity remains the same. Indeed, having entered this splendid computer world, I am more than greedy for something new.
From the beginning of my study, my endeavor was fixed on the underlying branches of Computer Science, particularly System Software development. Novel applications on other’s platform may be fruitful, but I think it’s more appealing to act as an independent “manager”. In fact, mathematics, OS, DBMS and modern compiler are all the examples, any breakthrough of which would push forward the whole industry. Individuality is achieved in this unique position.
My paces toward this goal are always steady. As mathematics permeates to the every corner of Computer Science, I am eager to see how it functions. I took courses offered by the Mathematics Department including Mathematical Analysis and Advanced Algebra. The curriculum also covered Discrete Mathematics, Probability & Statistics and Theoretical Computer Science. As supplement to my scope of knowledge, I learn by myself Combination Mathematics and the Science of Programming. This really made a hard period of time, but the harvest was rewarding. I come to understand that even the most irrelevant software disciplines have the origins in common. The importance of Fractured Geometry in Computer Graphics is already obvious. What if a step furthers toward TSP or Bin Packing? Immeasurable. Then came my favorite topics: Operating System, Compiler and Database. I worked hard and derived bits of my own insight. In fact, I was greatly encouraged to find some of my ideas successfully implemented in the corresponding course projects. My final grade is straight “As” in these coursed. In short, although my experience in Computer Science is still limited, I believe its depth is well accessible. As my advisor, Prof. Fang Yu, put it figuratively in one of his lectures: “ It makes no difference whether a hunter captures 5 or 7 rabbits. What counts is he knows how to use his gun.”
I think I can be the qualified shooter now. in my undergraduate years, I have earned various kinds of scholarships, among which were “Peking University Fellowship” and “Excellent Academic Scholarship”. My overall GPA ranks upper 10% among 48 students of the same grade. Because of my satisfactory performance, I was granted the honor of entering the graduate program at Peking University directly, waived of the admission test. In retrospect, my workload is always heavy but it is worth my time of effort. Presently, I have both adequate theoretical understanding and rich programming experience. READY I AM.
Of all the sub-areas of Computer Science, my major interest is parallel processing and the related compiler construction. The terminology of parallel processing came to me when I read an article about digital circuit testing. According to this article, there exist many serial approaches of solving the automatic test pattern generation (ATPG) problem. Though certain method of solving ATPG sometimes proved efficient, the computation time for a method of solving ATPG sometimes proved efficient, the computation time for a complete result is intolerable, the a parallel processing machine is proposed. Using paralleled ATPG method, this NP complete dilemma is ingeniously handled. After reading, I surprisingly realized that parallel processing opened a new window for the computationally intensive problems, which prove intractable for the VON NEUMANN Architecture. You can always first split a specific computational task into several independent divisions, then assign each part to a certain processor. With reasonable partition and proper synchronization, most grueling scientific applications can be reduced to normal scale problems.
With the advent of the multiprocessor architecture, compiler optimization faced a new challenge. A compiler not only has to translate, but it is also responsible for generating parallel-processing loop provides a rich opportunity of exploiting parallelism. Therefore, finding an optimum strategy for loops because a hot research topic. On the whole, parallelism changes our view toward the conventional computer architecture so that the compiler’s construction must make the corresponding modification. Because of this challenging characteristic, I choose them to be my interest of future study.
Yet parallel processing is far from maturity. It has been observed that some sequential algorithms can be easily translated into fast parallel algorithms while some others may not. Is every sequential computation can be done efficiently in parallel? If not, what properties result in such distinction? Another unsettled problem is programming parallel computers now is like programming serial computers in the 1960s. Programmers get locked into a particular manufacturer’s computers. Is it possible for us to design a higher level language for parallel computers that hides the underlying machine architecture from users? Both are crying out for solution.
Without advanced knowledge, I can do nothing but wait. In order to convert my undergraduate study into full play, graduate education is a necessity. From the college guide and my advisor’s recommendation, I am pleased to learn that your department has an academic atmosphere where originality is appreciated and individual potential is explored. It will be the best place for my specialized study. If possible, my main interest in the future will be in the following areas:
Parallel processing, Compiler construction.
Distributed/concurrent systems, Operating system.
Machine learning, Automated fault diagnosis.
As my undergraduate education is very basic, if you feel that I am more suited for some other areas, any of your suggestion would be highly appreciated.
Upon the completion of my study, I would return to Peking University and teach what I’ve learned to the students. Then I shall establish a research center to experiment new ideas. It is my ultimate goal to see the Chinese computer products leading the global market in the next century. After all, the navigation is not over yet!
Yours sincerely,
xuexila
留學(xué)澳大利亞常見住宿方式
1、Homestay寄宿家庭
Homestay是將學(xué)生放在澳洲當?shù)氐募彝ブ校@類寄宿家庭大多會提供早餐和晚餐，很多都是Local家庭，既能幫助初來澳洲的留學(xué)生們?nèi)谌氚闹蕻數(shù)丨h(huán)境，而且也能照顧好平時學(xué)生的生活，也是一個不錯的練習(xí)口語的機會哦。
2、學(xué)生公寓
澳洲很多大學(xué)都有設(shè)立在學(xué)校附近的學(xué)生公寓，房間的大小和房屋的樣式各有不同，當然房租高低差別也很大。住在學(xué)生公寓的好處有很多，因為學(xué)校有專門的舍管辦公室，這保證了公寓的整潔度和安全性。因為離學(xué)校很近，同學(xué)們到校園不會花很多時間，上課和去圖書館都很方便，節(jié)省了時間又省去了交通費用。有些條件比較好的學(xué)生公寓還有單間的washroom，干靜又整潔。
3、單間租房
對于第一次漂洋過海來留學(xué)又想獨立自主的孩紙們來說，租個單間不僅能避免被黑中介坑錢，也能迅速強迫自己獨立以及適應(yīng)全新生活。在知名網(wǎng)站的租房分類里，每天都有海量租房信息，還能根據(jù)你的錢包和偏好設(shè)置篩選，單間租房，拎包入住，方便快捷!比起別人和中介整租房子又是買床又是組裝椅子又是安裝“永遠姍姍來遲”的網(wǎng)絡(luò)電纜等等各種麻煩事，一個人輕輕松松拎包入住的好處就在于，一切都是現(xiàn)成的!而且一個人住一個單間，享受私密性的同時，也避免了很多尷尬的情況!當然，一切都在于你的房東是真的“友善易相處”。
4、合租住房
所謂的合租住房就是你自己或者你和朋友自己一起向中介租下一整套的房子，自己做二房東。這種居住方式，如果是和朋友一起住可以保證你的生活質(zhì)量，和朋友隨心所欲的過活，開個party啦，一起做飯吃啦，歡樂又和諧，跟之前的愛情公寓一樣，好朋友就住在身邊，暖暖溫情滿滿的。
澳大利亞留學(xué)的衣食住行
一、衣服
澳洲的氣候還是比較適宜的，尤其是澳洲大學(xué)分布的幾個城市，冬天不是很寒冷夏天也不是很炎熱，澳洲人穿衣是比較簡單的，穿著比較舒適就行，在一些重要的場合，就會穿的比較的正式，看起來要大方有氣質(zhì)。在平時的生活中都是比較的隨意休閑，穿T恤和牛仔褲，澳洲的衣服可不是很便宜的，你是從國內(nèi)帶上足夠多的衣服來澳洲。
二、食物
澳洲的飲食就跟西餐差不多，也是吃肉類和面食，因為澳大利亞是靠海的國家，所以海鮮也是他們的主要食物，各種烹飪方式的海鮮都有，如果你在澳洲學(xué)習(xí)每天的三餐都是在外面吃，那費用可就不便宜了，如果你想節(jié)省一點生活費的話，可以在市場去買一些新鮮的菜，在你住的地方做飯，每天都能自己做飯的話可以省下不少的錢。
三、住所
在澳洲，國外的學(xué)生學(xué)校都會給學(xué)生提供宿舍的，相對來說會比較方便和安全，但是費用卻是外面房子的好幾倍，也不能在宿舍里面做飯，你只能去學(xué)校的食堂吃或者是外面的餐廳吃。住寄宿家庭的話你的飲食就不用擔(dān)心了，他們都會給你把飲食都準備好的，住在這里就需要學(xué)生能夠和澳洲人打好交道，和他們能夠順暢的溝通。在外面租房子，可不是一件容易的事情，你要自己出去找，不能找的離學(xué)校很遠，而且現(xiàn)在房源信息很多很復(fù)雜，要小心不要被那些人給騙了。
四、交通
澳洲的交通還是很發(fā)達的，公交車、電車、火車在這里都有，交通工具都是按照時刻表來運行的，如果你你經(jīng)常要坐車的話，月票你還是買一張，對學(xué)生是不會有很高的價格的，只會是有優(yōu)惠價。通常在學(xué)校里面住的學(xué)生平時上課也不用坐到交通，如果你是要出學(xué)校去購物或者是游玩也要坐 交通，住的離學(xué)校很遠的學(xué)生每天去上課都是要坐車的。
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