【摘要】 人工智能“新工科”建设强调对学生实践能力、学科交叉能力、团队协作能力、创新能力的培养。计算机视觉实验作为人工智能专业的核心专业实验课,从科研项目中提炼能够反映前沿性和创新性的有挑战度的实验内容,采用多路径迭代的实验设计,通过准科研的过程体验,将学生的知识、能力和素质培养进行有机融合,实现从单科到交叉、从被动到主动、从应试到实战、从个体到协作的四个转变,培养学生解决复杂工程问题的能力和科研创新能力。更多还原

【Abstract】 The construction of artificial intelligence “new engineering” emphasizes the cultivation of students’ practical ability, disciplinary interdisciplinary ability, team collaboration ability and innovation ability. As the core professional experimental course of artificial intelligence, computer vision experiment extracts challenging contents from scientific research projects, which can reflect the frontier and innovation. The experimental design of multi-path iteration is adopted to organically integrate students’ knowledge, ability and quality training. This process can make students achieve four changes from single subject to cross, from passive to active, from exam-oriented to actual combat, from individual to collaboration. Finally, students’ ability to solve complex engineering problems and scientific research innovation are cultivated.更多还原