2021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計算機軟件專業(yè)個人留學(xué)申請書，歡迎閱讀!
2021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
澳大利亞留學(xué)選專業(yè)需要考慮什么?
【回答】1、就業(yè)機會
很大一部分人留學(xué)動機是希望能找到更好的工作以及更大的回報。首先要考慮的是你對何種職業(yè)更感興趣。其次，由于澳洲和中國對于不同職業(yè)的就業(yè)需求以及就業(yè)前景完全不同。所以你應(yīng)該了解澳洲和中國對于不同職業(yè)的就業(yè)需求數(shù)據(jù)，以此確定未來的發(fā)展方向。如果你想有更多的選擇，你同時關(guān)注中國和澳洲的就業(yè)市場。
專家建議學(xué)生考慮到就業(yè)機會的時候，應(yīng)該考慮一下你的文憑是否具有獨特性。在選擇專業(yè)時，你當(dāng)選擇一個獨特新穎的領(lǐng)域，這樣會讓你與眾不同。其實，有很多專業(yè)可供選擇，例如保險精算學(xué)，酒店管理，電子商務(wù)，創(chuàng)新管理或者工程管理。
2、興趣及強項
在選擇專業(yè)時，你也應(yīng)該多少考慮到未來30年里你會做什么樣的工作。要想擁有成功的事業(yè)，你必須選擇你喜愛的以及擅長的工作。因此，選擇你感興趣的以及適合你的專業(yè)尤為重要。大家切記不可選擇一個你根本就不喜歡的專業(yè)。
3、專才和通才教育的不同選擇
赴澳洲留學(xué)選擇專業(yè)的另一個重要因素就是你該考慮到你所接受教育的特殊性。也就是說：專才專業(yè)。
專才教育的優(yōu)勢在于它可以使你具備從事特殊職業(yè)的資格，因此在就業(yè)的時候，會有很多選擇。然而，如果你不愿從事那些領(lǐng)域的工作，專才教育同時也會在某種程度上限制你的選擇。
而通才文憑將會使你在確定職業(yè)方向時難上加難，因為你沒有任何專門培訓(xùn)及技術(shù)知識。反之，你將會有更廣闊選擇工作范圍。
4、語言環(huán)境
赴澳洲留學(xué)語言環(huán)境是選擇專業(yè)時應(yīng)考慮的重要因素。大部分中國大陸學(xué)生選擇在澳洲學(xué)習(xí)商科，工科以及IT領(lǐng)域。這主要是因為他們認(rèn)為這些專業(yè)的畢業(yè)生需求量大而且所從事職業(yè)大多屬于高收入階層。
5、入學(xué)要求
在選擇專業(yè)時，你對所選專業(yè)的入學(xué)要求多加考慮。一些專業(yè)如醫(yī)學(xué)等很難申請。有些專業(yè)如工科要求你預(yù)先學(xué)習(xí)一些相關(guān)課程。因此，選擇專業(yè)時，必須考慮到自己的學(xué)術(shù)歷史及先前的學(xué)習(xí)基礎(chǔ)。
6、學(xué)習(xí)的難易程度
赴澳洲留學(xué)還需要考慮到所選專業(yè)的難易程度。一些專業(yè)對學(xué)生要求很高，比如說醫(yī)學(xué)。其他的專業(yè)如教育和法律要求學(xué)生有很高的英語水平。如果你能夠應(yīng)付所選專業(yè)的技術(shù)深度或者達到所要求的雅思水平，你就能夠很快地做出正確決定。
澳大利亞留學(xué)要準(zhǔn)備的物品
一、生活類
澳洲的氣候是比較溫和的，夏天多帶一些涼爽的衣物，T恤、牛仔褲，涼鞋、脫鞋、休閑鞋，根據(jù)自己的需要多帶幾件，也要帶幾件冬天穿的毛衣、棉服、大衣，搭配衣服的可以幾雙帶靴子。準(zhǔn)備一到兩件速干衣和運動裝，內(nèi)衣褲是在國內(nèi)買了再帶過去，在澳洲買是比較貴的。日用品帶一些平時用得到的，像牙刷牙膏，洗臉毛巾，床單被套，被子就不用帶了，有點重，還有雨具，眼鏡，防曬的比如太陽鏡、太陽帽、防曬霜。護膚品可以帶一套小的，澳洲買護膚品也不貴，帶多了也不能入境，是有規(guī)定的，每瓶不能超過一百毫升。澳洲的文具是比較貴的，可以適量的帶一些筆芯、本子之類的。還有藥品，像是感冒藥、抗過敏藥、消炎藥、創(chuàng)口貼、暈車藥等。還有電子產(chǎn)品，包括電腦、手機、數(shù)碼相機等。澳洲的電腦是很便宜的，比國內(nèi)的便宜，在這里買也很劃得來。
二、資料文件
錄取通知書、簽證、護照、成績單、證件照、機票、入境卡、出生公證等及其復(fù)印件。
三、費用類
去澳洲留學(xué)。當(dāng)然是要帶錢了，先是留學(xué)費用，在澳洲留學(xué)，一年的學(xué)費要10萬-20萬不等，學(xué)費高的都是重點大學(xué)、熱門專業(yè)。生活費，住宿費要花費很多，一年要三萬五到六萬元左右，還有飲食費、交通費、購物費，一年算下來要32500元，還有一些其他費用沒算進去，比如娛樂費、旅游費、社交費等，依據(jù)個人的情況來算。消費水平高的學(xué)生一年的留學(xué)費用要達到30萬，最少20萬左右。剛?cè)グ闹薜?，要先?zhǔn)備一些澳幣，可以去機場的兌換點兌換，人生地不熟，有現(xiàn)金是好的，不要超過一萬澳幣。
四、其他
游泳裝，澳洲的海比較多，休假可以去海邊玩玩，行李箱是不要帶硬殼的，布料包，充電寶不要放在行李箱內(nèi)托運，可以隨身攜帶，重要的文件資料之類的，都放在方便拿的地方。
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