雅思part1自我介绍
烤鸭们看过来!part1 有救啦!本站小编为你带来雅思part1自我介绍的内容,希望能够帮到你们。
关于雅思part1自我介绍篇一:
From a middle class family, I was born in Hsin Ying, Tainan on October 10th, 1965. My father is a civil official at Tainan City Government. My mother is a house wife good at cooking. Although I am the only child of my parents, I am by no mans a spoiled one. On the contrary, I have been expected to be a successful man with advanced education. I study hard at school. Besides texts knowledge, journalism is my favorite; whenever reading, my heart is filled with great joy and interesting.
“Being good is must; successful, however, is plus.” Father adopts the idea of his father. Especially in military service, I realized it more precisely. People said: Military service makes a boy to man, I agree that.
I realized the importance of English and began to study diligently when I was eighteen. I did not start in my early age, but I hope that I could pass the test of General English Proficiency Test. And this is my best wish at the moment.
关于雅思part1自我介绍篇二:
After completing my military service, I have been looking for a challenging goal for me to achieve. And I found that the Intermediate of General English Proficiency Test fits my new achievement properly.
I graduated from Taipei Commercial Junior College, majored in business administration. Instead of spending much time in playing, I devoted myself to my studies and paid attention to all meaningful things happened in daily life. By the way, I learned a lot from Mr. Wang, the professor of my business class. He is my good friend till now an often gives some appropriate suggestions toward my problem confusion.
My father is, in the same way, a good consultant to me. As he said: I am in poor education, little for you; to clarify, what he have given is far beyond his words, I do think so. I was born in a country of Ping Tung Country, farming is our career of generations. There are four people in my family, Mother is housewife and my brother is a student of an Agriculture College.
I am optimistic and active, and I am confident that I can pass the test. Thank you for your precious to read my autobiography.
关于雅思part1自我介绍篇三:
I am a third year master major in automation at Shanghai Jiao Tong University, P. R. China. With tremendous interest in Industrial Engineering, I am writing to apply for acceptance into your Ph.D. graduate program.
Education background
In 1995, I entered the Nanjing University of Science &Technology (NUST) -- widely considered one of the China’s best engineering schools. During the following undergraduate study, my academic records kept distinguished among the whole department. I was granted First Class Prize every semester,In 1999, I got the privilege to enter the graduate program waived of the admission test.
At the period of my graduate study, my overall GPA(3.77/4.0) ranked top 5% in the department. In the second semester, I became teacher assistant that is given to talented and matured students only. This year, I won the Acer Scholarship as the one and only candidate in my department, which is the ultimate accolade for distinguished students endowed by my university. Presently, I am preparing my graduation thesis and trying for the honor of Excellent Graduation Thesis.
Research experience and academic activity
When a sophomore, I joined the Association of AI Enthusiast and began to narrow down my interest for my future research. With the tool of OpenGL and Matlab, I designed a simulation program for transportation scheduling system. It is now widely used by different research groups in NUST. I assumed and fulfilled a sewage analysis &dispose project for Nanjing sewage treatment plant. This was my first practice to convert a laboratory idea to a commercial product.
In retrospect, I find myself standing on a solid basis in both theory and experience, which has prepared me for the Ph.D. program. My future research interests include: Network Scheduling Problem, Heuristic Algorithm research (especially in GA and Neural network), Supply chain network research, Hybrid system performance analysis with Petri nets and Data Mining.
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