以康奈尔大学ECE4950课程为参考的人工智能课程体系建设

Research on Curriculum Construction for Artificial Intelligence Based on ECE4950 Curriculum of Cornell University

  • 摘要: 针对当前人工智能发展对创新人才培养的迫切需求,将美国康奈尔大学ECE4950课程思想应用于创新领军课程的建设,建立了基于哈尔滨工业大学-伊顿工程实践教育中心的创新领军培养教学体系。核心特色在于将与基于梯度提升树(GBDT)机器学习算法相关的通识课程、专业课程及实验课程进行逻辑归纳,建立具有人工智能特色的机理分析→系统设计→算法开发→仿真模拟→实验验证的人工智能课程体系。所做工作可为培养具有国际化人工智能特色的创新领军人才提供参考。

     

    Abstract: For the increasingly urgent needs for innovation leader associated with artificial intelligence, the ECE4950 curriculum of Cornell University has been used to construct curriculum of innovation leader. For this purpose, a teaching framework for training innovation leader has been given based on Engineering Practice Education Center of Harbin Institute of Technology combined with Eaton Company. Core work is to draw the conclusion from general education courses, professional courses and experiment courses which is associated with Gradient Boosting Decision Tree (GBDT). And then we have proposed a curricula system that includes mechanism analysis, hardware design, algorithm development, simulation and experimental verification for artificial intelligence. This work can give a reference for training innovation leader candidate with the characteristics of international artificial intelligence.

     

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