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<hr><p align="left"><small>發信人: Rala (小眠羊zzZZzzz), 信區: Oversea <br>
標 題: 計算機軟件專業自述范例 <br>
發信站: 飄渺水云間 (Fri Jul 27 13:03:22 2001), 轉信 <br>
<br>
<br>
計算機軟件專業自述范例 <br>
資料來源：Accepted.com <br>
Knowing where one is heading during navigation brings assured happiness. As <br>
a student majoring in Computer Software, I began my odyssey four years ago. <br>
Now, after the initial mysticism was gradually unveiled, my curiosity remain <br>
s the same. Indeed, having entered this splendid computer world, I am more t <br>
han greedy for something new. <br>
From the beginning of my study, my endeavor was fixed on the underlying bran <br>
ches of Computer Science, particularly System Software development. Novel ap <br>
plications on other’s platform may be fruitful, but I think it’s more appe <br>
aling to act as an independent “manager”. In fact, mathematics, OS, DBMS a <br>
nd modern compiler are all the examples, any breakthrough of which would pus <br>
h forward the whole industry. Individuality is achieved in this unique posit <br>
ion. <br>
My paces toward this goal are always steady. As mathematics permeates to the <br>
every corner of Computer Science, I am eager to see how it functions. I too <br>
k courses offered by the Mathematics Department including Mathematical Analy <br>
sis and Advanced Algebra. The curriculum also covered Discrete Mathematics, <br>
Probability & Statistics and Theoretical Computer Science. As supplement to <br>
my scope of knowledge, I learn by myself Combination Mathematics and the Sci <br>
ence of Programming. This really made a hard period of time, but the harvest <br>
was rewarding. I come to understand that even the most irrelevant software <br>
disciplines have the origins in common. The importance of Fractured Geometry <br>
in Computer Graphics is already obvious. What if a step furthers toward TSP <br>
or Bin Packing? Immeasurable. Then came my favorite topics: Operating Syste <br>
m, Compiler and Database. I worked hard and derived bits of my own insight. <br>
In fact, I was greatly encouraged to find some of my ideas successfully impl <br>
emented in the corresponding course projects. My final grade is straight “A <br>
s” in these coursed. In short, although my experience in Computer Science i <br>
s still limited, I believe its depth is well accessible. As my advisor, Prof <br>
. Fang Yu, put it figuratively in one of his lectures: “ It makes no differ <br>
ence whether a hunter captures 5 or 7 rabbits. What counts is he knows how t <br>
o use his gun.” <br>
I think I can be the qualified shooter now. in my undergraduate years, I hav <br>
e earned various kinds of scholarships, among which were “Peking University <br>
Fellowship” and “Excellent Academic Scholarship”. My overall GPA ranks u <br>
pper 10% among 48 students of the same grade. Because of my satisfactory per <br>
formance, I was granted the honor of entering the graduate program at Peking <br>
University directly, waived of the admission test. In retrospect, my worklo <br>
ad is always heavy but it is worth my time of effort. Presently, I have both <br>
adequate theoretical understanding and rich programming experience. READY I <br>
AM. <br>
Of all the sub-areas of Computer Science, my major interest is parallel proc <br>
essing and the related compiler construction. The terminology of parallel pr <br>
ocessing came to me when I read an article about digital circuit testing. Ac <br>
cording to this article, there exist many serial approaches of solving the a <br>
utomatic test pattern generation (ATPG) problem. Though certain method of so <br>
lving ATPG sometimes proved efficient, the computation time for a method of <br>
solving ATPG sometimes proved efficient, the computation time for a complete <br>
result is intolerable, the a parallel processing machine is proposed. Using <br>
paralleled ATPG method, this NP complete dilemma is ingeniously handled. Af <br>
ter reading, I surprisingly realized that parallel processing opened a new w <br>
indow for the computationally intensive problems, which prove intractable fo <br>
r the VON NEUMANN Architecture. You can always first split a specific comput <br>
ational task into several independent divisions, then assign each part to a <br>
certain processor. With reasonable partition and proper synchronization, mos <br>
t grueling scientific applications can be reduced to normal scale problems. <br>
With the advent of the multiprocessor architecture, compiler optimization fa <br>
ced a new challenge. A compiler not only has to translate, but it is also re <br>
sponsible for generating parallel-processing loop provides a rich opportunit <br>
y of exploiting parallelism. Therefore, finding an optimum strategy for loop <br>
s because a hot research topic. On the whole, parallelism changes our view t <br>
oward the conventional computer architecture so that the compiler’s constru <br>
ction must make the corresponding modification. Because of this challenging <br>
characteristic, I choose them to be my interest of future study. <br>
Yet parallel processing is far from maturity. It has been observed that some <br>
sequential algorithms can be easily translated into fast parallel algorithm <br>
s while some others may not. Is every sequential computation can be done eff <br>
iciently in parallel? If not, what properties result in such distinction? An <br>
other unsettled problem is programming parallel computers now is like progra <br>
mming serial computers in the 1960s. Programmers get locked into a particula <br>
r manufacturer’s computers. Is it possible for us to design a higher level <br>
language for parallel computers that hides the underlying machine architectu <br>
re from users? Both are crying out for solution. <br>
Without advanced knowledge, I can do nothing but wait. In order to convert m <br>
y undergraduate study into full play, graduate education is a necessity. Fro <br>
m the college guide and my advisor’s recommendation, I am pleased to learn <br>
that your department has an academic atmosphere where originality is appreci <br>
ated and individual potential is explored. It will be the best place for my <br>
specialized study. If possible, my main interest in the future will be in th <br>
e following areas: <br>
Parallel processing, Compiler construction. <br>
Distributed/concurrent systems, Operating system. <br>
Machine learning, Automated fault diagnosis. <br>
As my undergraduate education is very basic, if you feel that I am more suit <br>
ed for some other areas, any of your suggestion would be highly appreciated. <br>
<br>
Upon the completion of my study, I would return to Peking University and tea <br>
ch what I’ve learned to the students. Then I shall establish a research cen <br>
ter to experiment new ideas. It is my ultimate goal to see the Chinese compu <br>
ter products leading the global market in the next century. After all, the n <br>
avigation is not over yet! <br>
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留學資訊網 版權歸其相應的所有者 2001.02.08 <br>
<br>
-- <br>
※ 來源:·飄渺水云間 Freecity.dhs.org·[FROM: Rala] <br>
</small><hr>
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