Preview of Academic Lectures at Nanhu Rongtong Lecture Theater

publisher:朱妍臻release time:2023-10-24viewed:11

Focusing on the strategic development goal of building a world-class university with distinctive features of in-depth integration of finance, economics, politics and law, the School of Business Administration, as one of the first batch of integration-type colleges approved for construction by the university, has created a new academic platform South Lake Integration Lecture Theatre. The purpose of this academic platform is to promote the integration of literature and literature, the intersection of literature and science, the integration of science and education, the integration of industry and education, and the integration of internal and external affairs (i.e., the five major integrations) through lectures by famous scholars from home and abroad, famous experts from inside and outside of the university, and celebrities from enterprises and public institutions, so as to inspire students' thinking of integrating, form the culture of integrating, and strengthen the characteristics of cross-integration and education, and strive to train economic understanding, economic understanding and education. We are striving to cultivate new-age integration talents who understand economy, know law, and are good at management and who have all-round development in morality, intelligence, physicality, and aesthetics.

Session

Time

Location

Moderator

Speaker

Theme

3

2023.12.11   11:00-12:30

Wenquan North Conference Room 506

Prof. Zou Bipan

Prof. Gong Yeming

Generative artificial intelligence and management   science: new practices, new theories, new approaches

2

2023.10.27   15:00-17:00

Wenquan North Conference Room 506

Prof. Fei Xianzheng

Dr. Huang Changbing

Bottom-line Thinking and Sustainable Development of   First-class Enterprises under the New Economic Conditions: A Case Study of Listed   Companies in China

1

2023.10.9 16:00-17:30

Best Reading Space

Prof. Fei Xianzheng

Prof. Li Tianxing

Applying Sustainable   Development Goals in Financial Forecasting Using Machine Learning Techniques


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