Virtual simulation experiment platform for digital and intelligent transformation of enterprises
Experiment name: virtual simulation series experiment of enterprise digital intelligent transformation
Course of the experiment:
Undergraduate: Management Information System, Information System Analysis and Design, Big Data Analysis and Application
Postgraduates: Information System and Information Resource Management, Digital Innovation and Digital Transformation, Big Data Business Intelligence Analysis, Information System Analysis and Design
Teacher team: Gou Juanqiong, Xie Xiang, Mu Wenxin
Experiment introduction:
The virtual simulation platform for enterprise digital intelligent transformation mainly includes virtual enterprise experiment system, uncertainty event system, AI decision system AI development and design system, experiment and practice task system, evaluation system, teacher management system and other modules. The platform integrates the challenges and innovations brought by digital innovation to the specialty into the course learning and the cultivation of students' innovation ability, integrates many courses and fragmented knowledge learning into complex realistic problem situations, and makes design verification oriented knowledge explicit "learning" The mode is integrated into the experimental teaching process, focusing on the formation of high-level thinking and the cultivation of high-level ability. At present, this experimental platform has been applied to practice teaching of multiple courses, and team teachers have designed different experimental contents for different curriculum objectives.
Based on the background of information society, the course of Management Information System guides students to learn the theory and development methods of management information system from the perspective of construction and system, and to think about how to start with the information needs of enterprise users, and use information digital management to solve enterprise development problems. In response to the needs of this course, the virtual simulation platform for digital and intelligent transformation of enterprises is used to set up the following four experiments: virtual simulation experiment for individual operation of manufacturing enterprises, virtual simulation experiment for non confrontational operation of manufacturing enterprise groups, and virtual simulation experiment for confrontational operation of manufacturing enterprise groups. Through the above experiments, students can perceive the complexity and competitiveness of enterprise operation, identify different positions in the enterprise, and benchmark the job demand against the professional knowledge and ability requirements they have learned.
The undergraduate course of Information System Analysis and Design takes the life cycle of information system as the main line, and based on the ideas and methods of complex system engineering, expounds the principles, methods, technologies, tools and applications of information system analysis and design, so that students can understand how to combine various analysis methods and technologies according to different system characteristics to transform enterprise requirements into information systems. In response to the needs of this course, the virtual simulation platform for digital and intelligent transformation of enterprises has set up the following eight experiments: preliminary experiment of enterprise business complexity, enterprise business simulation experiment based on ERP theoretical model, enterprise dilemma exploration experiment based on virtual simulation experiment, enterprise business simulation experiment based on post AI, human-computer collaboration dilemma experiment based on post AI Enterprise operation simulation experiment based on scenario AI, man-machine symbiosis growth experiment under the background of VUCA, and AI optimization design experiment. Through experiments, students are guided to understand the development of demand characteristics and digital modeling methods in various stages of informatization, digitalization and digital intelligence, as well as the evolution of relevant organizational management under digitalization.
The course Big Data Analysis and Application mainly introduces the basic concepts and technologies of big data and big data analysis, as well as data analysis principles, methods and technologies. In response to the needs of this course, the virtual simulation platform for digital and intellectual transformation of enterprises has set up the following three experiments: virtual simulation platform business process analysis and modeling experiment, environmental behavior session data collection and processing experiment, and student high-level thinking ability data analysis experiment. Through the above experiments, students are guided to combine enterprise management practice, big data analysis methods and enterprise modeling research methods to support big data analysis and application practice teaching.
The postgraduate course "Information System Analysis and Design" mainly introduces the basic concepts, basic theories and basic methods of information systems, data analysis and application methods, and the analysis, design and implementation of information system development. In response to the needs of this course, the virtual simulation platform for digital and intelligent transformation of enterprises has set up the following seven experiments: enterprise operation complexity analysis experiment, operation and management uncertainty experience and demand analysis experiment, operation decision scenario analysis experiment, AI configuration virtual simulation experiment, AI design experiment, AI realization experiment, and AI team operation analysis experiment. Through the above experiments, guide students to combine analysis, design methods, new technology application and project management, and cultivate students' ability to solve practical business problems with the tools and technologies of system analysis and design.
The course of Big Data Business Intelligence Analysis mainly introduces the basic concepts and technologies of big data based business intelligence analysis, as well as the principles, methods and technologies of data mining. In response to the needs of this course, the virtual simulation platform for digital intelligent transformation of enterprises has set up the following four experiments: business complexity analysis experiment, demand analysis experiment, post AI configuration and simulation analysis experiment, and scenario AI design experiment. Through the construction of human-computer collaborative participation in virtual simulation experiments, the process of business intelligence analysis is integrated into the process of enterprise management practice and enterprise scenario modeling to support the practical teaching of big data business intelligence analysis.
The course of Information System and Information Resource Management mainly introduces information system and organization, the technical basis of information resource management, the construction and development of information system, and the planning and management of information resources. In response to the needs of this course, the virtual simulation platform for digital and intelligent transformation of enterprises has been used to set up the following three experiments: enterprise operation complexity experience experiment, enterprise operation simulation experiment based on ERP theoretical model, and fool AI growth story - enterprise operation simulation experiment based on task AI. Through the above experiments, guide students to apply the information resource management theory to the simulated enterprise analysis practice, and realize the combination of theory and practice.
The course "Digital Innovation and Digital Transformation" mainly introduces the theory and technology of digital innovation, as well as the difficulties and solutions of enterprises' digital transformation. In response to the needs of this course, the virtual simulation platform for digital and intelligent transformation of enterprises was used to set up the following three experiments: enterprise operation complexity experience experiment, enterprise operation simulation experiment based on ERP theoretical model, and enterprise operation simulation experiment based on task AI. Through the above experiments, the business process of enterprises will be digitized, so that students can understand the management and operation practice of digital enterprises, and cultivate students' ability to apply the digital transformation theory to practice.
System link:
https://ent.bjtu.edu.cn