The course mainly focuses on the introduction to theories, implementation, and tools of intelligence algorithms, the analysis of business cases, performance evaluation of different models.

The course aims to enable students to understand how to achieve business intelligence from theory to practice. The course cultivates students to master practical abilities, such as collecting data, preprocessing and analyzing data with Artificial Intelligence and other tools, solving data analysis questions, in order to assist companies' decision making and management, and improve its effectiveness. On completion of the course, students should be able to: 

(a) understand the basic concepts of business data analytics and intelligence; 

(b) master the theoretical knowledge of general intelligent models and their evaluation, implementation process, and tools;  

(c) understand how to choose an appropriate model to analyze specific business cases; 

(d) know how to implement business analytical models with support of Artificial Intelligence. 

Students must pass BOTH Class Performance and Group Project in order to get an overall pass in this course