研究生岩土工程大数据和机器学习课程混合课程建设探索OA

The development tasks of higher education include adapting to the change of teaching mode in the information age and promoting the deep integration of information technology and education.School of Civil Engineering of Chongqing University takes the opportunity of the construction of geotechnical engineering big data and machine learning online and offline mixed courses to carry out reform and exploration with the goal of improving the quality of postgraduate education.In view of the problems of insufficient emerging discipline literacy and information technology level among geotechnical engineering graduate students,the difficulty in output of high-level scientific research papers,the single output of scientific research,and the few academic awards in important international academic conferences,the curriculum focuses on four aspects of training mode,training approach,training methods and the diversification of training results.The course adopts a combination of online and offline teaching in English taught by famous foreign professors,strengthens the spirit of scientific innovation and international communication and cooperation ability of graduate students by combining research projects and practical projects,and focuses on the ability improvement of graduate students by means of process assessment.Practice has proved that through the construction of online and offline blended courses,graduate students have significantly improved their scientific research quality and analytical ability,and the course construction has obtained many achievements,which effectively promotes the implementation of informatization in higher education.