Artificial Intelligence and Business Intelligence Integrated Experiment

This course is a comprehensive experimental course designed for undergraduate students majoring in economics and management. Through cases such as store site selection and POI-based surrounding commercial analysis, as well as customer demand analysis for a specific vehicle model, students simulate and reproduce typical application scenarios of commercial data mining. The course also enables them to master Python-based methods and common toolkits for Internet data collection, word segmentation and word frequency statistics, data classification and statistical analysis, and data visualization.Through this course, students will be able to understand the basic concept of data thinking and big data analytics, and understand the application logic and value boundaries of artificial intelligence and business intelligence technologies in the fields of economics and management. They will develop the ability to transform specific business scenarios into data analysis tasks, design analysis paths, and formulate business recommendations. They will also develop interdisciplinary collaboration, data ethics and legal awareness, and the ability to continuously learn new technologies.This course is an important course integrating big data technology, artificial intelligence, and economics and management disciplines. It features interdisciplinary knowledge integration and helps enhance students’ ability to apply artificial intelligence and business intelligence technologies to solve practical problems in economics and management, enabling them to better adapt to the working model in the digital and intelligent era.