面向人工智能专业的“计算机组成与嵌入式系统”实验课程改进

Improvement of the Experimental Course on “Computer Composition and Embedded Systems” for Artificial Intelligence

  • 摘要: 面向人工智能专业培养需求,秉承紧扣理论课程内容、体现教学特色等原则,对计算机组成与嵌入式系统实验课程进行扩展改进。结合嵌入式系统中的并行卷积计算和图像处理中的形态学滤波相关内容,设计了基于Logisim仿真平台的形态学滤波并行计算电路设计实验。通过设计形态学滤波电路和测试用的图像案例,对比分析不同滤波操作的特性差异,学生既可以融会贯通各学科相关知识,又锻炼了系统设计能力,也为学习后续智能芯片等课程打下基础。

     

    Abstract: For the educational needs of artificial intelligence major, adhering to the principles of associating closely with the theoretical course and reflecting teaching characteristics, the experimental course of Computer Composition and Embedded Systems is expanded and improved. Combining parallel convolution computation in embedded systems with morphological filtering in image processing, a circuit design experiment for morphological filtering parallel computation is designed, which is based on the Logisim simulation platform. By designing both circuits and test image cases of morphological filtering, and comparing and analyzing the characteristic differences of different filtering operations, students can not only integrate relevant knowledge from various courses, but also exercise system design skills. Furthermore, it lays the foundation for learning subsequent courses such as intelligent chips.

     

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