The SoM’s pre-history and history can be divided into the five following stages. (1) Introduction of management education for the new China (1952-1966) After the founding of the People’s Republic of China, management science education, like many other arenas, copied the USSR model, and the SoM played a leading role in this endeavour. (2) Restoration and transformation (1978-1990) Following the upheaval of the Cultural Revolution, management education in China was restored and began to follow a Western rather than USSR model. In line with this new direction, the SoM was established in 1984. (3) Growth (1991-2000) The SoM’s MBA programme was amongst the first professional Master degree programmes in China. Since 1992, China has gradually turned away from a planned economy and embraced a market economy, and the country’s management education and research have begun to take on a global flavour. In this period of growth, the SoM began its transformation from an education- to research-oriented school. (4) Rapid development (2001-present) Management education in China has developed rapidly in the first decade of the 21st century, and the pace of globalisation has accelerated. In 2002, the SoM was amongst the first group of universities in China chosen to launch an EMBA programme. Education and research are increasingly globalised in nature, and, in 2001, Management Science and Engineering at the SoM was granted the status of a first-class key discipline. (5) Quality improvement (next 10 years) By obtaining such international business school accreditation as Association of MBA (AMBA) accreditation, the SoM will continue to strive towards training management talent that can push the society forward in line with international standards. The School also aims to extend the frontiers of international management research and create knowledge that will contribute to the world at large. We will continue our efforts to build a nationally and internationally renowned school of management and to reach first-class status in certain academic fields.
One of the most popular e-environment tools in entrepreneurship are online shops. Placement of goods in retail is vitally important, because the shop's turnover, and consequently the profits, will depend on it. By using methods of conventional merchandizing, e-merchandizing can be improved.
The course is designed for the senior IS management students with the knowledge of Probability, Applied Statistics and Operational Research to develop their ability of data analysis by learning the main methods of data mining and using the mathematical software as tools. This course includes methodology of classifying such as Clustering, Discriminant Analysis, Decision Trees and Neural Network, data reduction techniques such as Principle Analysis, Factor Analysis, Canonical Correlation Analysis, and evaluation techniques of AHP and DEA. By introducing the mathematical modeling into management science, it will enable students to develop their ability to integrate those methods into the data mining process.