Abstract. University practice teaching is an important Experiment practice step in college quality education system. It can cultivate the high quality of various types of engineering and technical personnel with innovative ability, to meet the needs of economic and social development. But at present, there are many problems in the course of college practice, such as the single teaching mode, the cognitive process of the students, and so on. The paper puts forward the innovation of the teaching reform of college practice course based on the "4C" model. The practical results show that the application of "4C" teaching mode in the practice course teaching and training students' ability to solve the problem of independent design, and experience a sense of achievement, inspire students to create, explore, discover and constantly learning. It can improve students' practice and innovation ability.

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In the actual production applications and scientific research experiments, the process of the development, test, operation and application of a system will produce a large number of original data. And most of them are pulse type data. Normally, users can achieve to access the short pulse data in one time expediently. While for long pulse data, the requirement sometimes just need to read and analyze a certain segment of the long pulse data, and it also takes a lot of time to access all the data at once. So a data segmented processing software is designed and implemented in this paper for long pulse data. It provides convenience for users to view any segment of long pulse data in real time by the data decompressing and segmented processing process. The software is development by C++ programming language with a friendly interface. The key technologies are based on the open source lossless LZO compress and decompress algorithm, as well as a custom data segmentation algorithm. Now, the software has been tested and the results show that it can work stably and reliably.

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