Experiment Science and Technology, Volume. 23, Issue 1, 17(2025)
Improvement of the Experimental Course on “Computer Composition and Embedded Systems” for Artificial Intelligence
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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Wenhui XU, Sheng ZHONG, Xu ZOU, Dingxin HE. Improvement of the Experimental Course on “Computer Composition and Embedded Systems” for Artificial Intelligence[J]. Experiment Science and Technology, 2025, 23(1): 17
Category: Experimental Teaching and Teaching Experimental
Received: Nov. 29, 2023
Accepted: --
Published Online: Feb. 26, 2025
The Author Email: HE Dingxin (何顶新)