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my situation on this place is pretty unlikely, after graduation because of personal interests I am gone to the Heilongjiang University graduate college major in history. Im outgoing and openminded. In my spare time, I have broad interests. Such as reading, surfing the internet, listening to music. I like children very much. I think children are active, innocent and pure. With them, I feel very relaxed, pleasant and younger. Therefore, I learned a lot from my one year working experience. To be a good teacher is my dream, I think a teacher is not only a guide for the students, but also a friend of them, if I were a teacher I would build a close relation with my students helping them not only on their study but also on their lives, I will try my best and I am confident that I can be a good teacher If your county to give me this opportunity, I passed the interview, as many teachers team member, I will continue learning, work hard to contribute to education in their own strength, will never live up to the human soul engineer of this glorious title. 小學(xué)英語教師資格證面試自我介紹2 When a sophomore I joined the Association of AI Enthusiast and began to narrow down my interest for my future research. In 1997 I participated in simulation tool development for the schexxng system in Prof. Wang’s lab. With the tool of OpenGL and Matlab I designed a simulation program for transportation schexxng system. It is now widely used by different research groups in NUST. In 1998 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 mercial product. In 1999 I joined the distinguished Professor YuGeng Xis research group aiming at Network flow problem solving and Heuristic algorithm research. Soon I was engaged in the FuDan Gene Database Design. My duty was to pick up the useful information among different kinds of gene matching format. Through the parison and analysis for many heuristic algorithms I introduced an improved evolutionary algorithm Multipopulation Genetic Algorithm. By dividing a whole population into several subpopulations this improved algorithm can effectiv