美国留学计算机工程专业个人陈述范文四篇
计算机工程专业一直受到不少学生的青睐，那么美国计算机工程专业的个人陈述范文是如何呢?这是很多留学生比较感兴趣的话题。和我爱学习网一起来看看吧!下面是小编整理的相关资讯，欢迎阅读。
美国留学计算机工程专业个人陈述范文四篇
范文一
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!
范文二
A fourth-year student grounded solidly in the basics of computer science, I am writing in pursuit of graduate studies that I hope can help me acquire cutting-edge expertise in software programming in general and parallel processing in particular.
Intrigued by the power of the computer since high school, I have been trying to stay on top of the computer science by concentrating my undergraduate studies on those subjects that underpin the discipline, particularly mathematics and electronics. To build up my solid knowledge in these subjects, I have taken virtually all the related courses that the university has had to offer. These courses include Algorithm & Data Structure, Mathematical Modeling, Network Theory, Digital Circuit, Discrete Mathematics, and Electric Circuit. With a sophisticated understanding in these areas, I have been well positioned to appreciate the basic theories of computer science and their applications to software development.
Aided by the firm command of the basics, I have found it not only easy but also exciting to study the various subjects covered by my major. As most of my classmates, I took a variety of courses ranging from AI to Computer Network, from AI Programming to Knowledge Engineering, from Pattern Recognition to Software Engineering, and from Database Design to Programming Language Design. But I distinguished myself by my academic record, which places me as one of the very top students in my class. My grades in these course never went below A or B. I have also stood out as one of the few who have taught themselves Real Time System and Computer Graphics.
Armed with sound training in the basic theories and applied technologies, I have been able to move on into deeper and wider areas of computer science. Early in my university life, I began to understand that the modern computer's base, the Turing machine, was reaching its limits in AI. Gradually, I have narrowed down my research interest to parallel & distributive computing, which I understand can significantly boost the performance of personal computers by giving them some of the functions of mainframe computers.
Of all the areas of computer science, parallel processing fascinates me the most. The term first came to me when I read the book Computer Organization & Design: the Hardware/Software Interface as part of my Computer Architecture course. By teaching me how the performance of computers can be improved through pipelining and parallel processing, the book reshaped my thinking in computer science.
My lab experience deepened my understanding of parallel processing. In my third year, I worked on a GIFT project with Dr. Komatsu, chief researcher of IBM Tokyo Research Laboratory and Dr. Koseki, one of Dr. Komatsu's colleagues. The project was to introduce the architecture supports that can allow compilers to derive more parallelism from programs. These architecture supports include three designs, a conditional execution mechanism to execute instructions without normal conditional jump instructions, speculative execution mechanism, and a dynamic memory disambiguation mechanism to execute memory access instructions simultaneously.
As undergraduate students seldom get to be involved in actual research, I took full advantage of the opportunity of working in the lab. I particularly enjoyed the seminars held twice a week as part of the lab work. At these seminars, I engaged in in-depth discussions with Master's students under Dr. Komatsu's seasoned guidance. The lab experience is adding weight and insights to my graduation paper An Improvement of Software pipelining using Loop Transformations. In this paper, I will introduce a translation algorithm using loop interchange and loop skewing. This algorithm can minimize the initiation interval of loop nest to improve the performance of software pipelining.
Through my lab experience and other research, I have developed a long-term professional objective: the advancement of the parallel processing technology. While I have strong faith in this technology, I also know its limitations as it is today. Some sequential algorithms can't be easily translated into fast parallel algorithms and most compilers can only distribute works on one platform. Another unsettled problem is that programming parallel computers is now still a manual work. But even the modern language (like Java, C++) can do some automatic translation work. If a compiler can be developed to translate and distribute work into different platforms, personal computers will be able to work like mainframe computers at a fraction of the mainframes' costs. This will make it possible to connect all the computers in the world and speed up all the processes.
To help take the parallel processing technology beyond what is capable of today, I have to undertake more advanced studies. This, I believe, can only be accomplished in a quality graduate program like yours. I plan to pursue a master's degree with a concentration on paralleling and distributing compilers, operating systems or computer networks, a combination thereof. With the training that goes into such an advanced degree, I think I will be able to take great strides towards fulfilling my professional objective. When I do, I think I will be standing on the cutting-edge of the computer science.
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