System Engineering Course Syllabus（工業(yè)工程專業(yè)教學大綱）

1、System Engineering Course SyllabusCourse name: System Engineering Credits: 2 Class Hours: 32Course category: compulsory/optionalStarting school: School of BusinessTeacher: Yuhong WangOne, The nature and purpose of the courseThis course is a compulsory course for undergraduates in industrial engineer

2、ing. This course mainly teaches the basic concepts of system and systems engineering, system engineering methodology, system structure analysis, system evolution and optimization, system modeling, system structure modeling method, system simulation, system dynamics, system evaluation and system deci

3、sion-making, etc. content. Enable students to understand all kinds of knowledge involved in systems engineering, hold the concepts of system and systems engineering, master the principles and application skills of various mathematical methods used in the process of system analysis, and be able to us

4、e systems engineering methods to analyze and solve practical problems.Two, Course introductionThis course mainly teaches the basic principles, concepts and methods of system engineering and system analysis. Through theoretical teaching, students can understand the basic knowledge, basic theories and

5、 basic methods of systems engineering, understand the development process of systems engineering disciplines, and master all aspects of systems engineering work. The principles of various mathematical methods used lay a solid foundation for students to further study related courses. And through the

6、study of this course, students will establish the concept of analyzing and solving complex problems with systems engineering theory.Three, Teaching contentChapter 1 General Theory of System (2 class hours)Main content: the concept and characteristics of the system; the structure and function of the

7、system; the environment and uncertainty of the systemFocus: the concept and characteristics of the system; the structure and function of the systemDifficulty: the structure and function of the systemTeaching objectives: require students to understand the general theory of the system; understand the

8、structure and function of the system; understand the system and its concept.Chapter 2 History and Current Status of System Engineering (2 class hours)Main content: the generation and development of systems engineering; the concept of systems engineering; the disciplinary foundation of systems engine

9、ering; systems engineering technologyFocus: the concept of systems engineering; the disciplinary basis of systems engineeringDifficulty: the disciplinary foundation of systems engineeringTeaching objectives: require students to understand the generation and development of systems engineering; unders

10、tand the disciplinary basis of systems engineering; understand the concepts of systems and systems engineering.Chapter 3 System Engineering Methodology (2 class hours)Knowledge points: system analysis methodology represented by RAND; hard system engineering methodology represented by Hall; soft syst

11、em engineering methodology represented by Checkland; comprehensive integrated methodology from qualitative to quantitative represented by Xuesen QianFocus: Hard system engineering methodology represented by HallDifficulty: Soft system engineering methodology represented by ChecklandTeaching objectiv

12、es: Students are required to understand the system analysis methodology represented by RAND Corporation, the system analysis methodology represented by RAND Corporation, and the comprehensive integrated methodology from qualitative to quantitative represented by Xuesen Qian; understand and master th

13、e methodology represented by Hall Hard system engineering methodology.Chapter 4 System Modeling (4 class hours)Knowledge points: the role of system modeling in system analysis; the general principles of system modeling; the classification of system modeling; several commonly used economic mathematic

14、al modelsFocus: The role of system modeling in system analysisDifficulty: general principles of system modelingTeaching objectives: Students are required to understand the role of system modeling in system analysis, the general principles of system modeling, the classification of system modeling, an

15、d several commonly used economic mathematical models.Chapter 5 System Structure Modeling Method (4 class hours)Knowledge points: overview of system structure modeling method; system structure expression; DEMATEL method; ISM methodFocus: the structure of the systemDifficulties: the structure of the s

16、ystem; DEMATEL method; ISM methodTeaching objectives: require students to understand the basic concepts of system structure modeling; understand the DEMATEL method and ISM method; master the structure of the system.Chapter 6 System Simulation (4 hours)Knowledge points: Introduction to system simulat

17、ion; modeling process of system simulation; continuous system simulation; discrete event system simulationFocus: the modeling process of system simulationDifficulty: Discrete Event System SimulationTeaching objectives: require students to understand the basic knowledge of system simulation; understa

18、nd the basic methods of continuous system simulation and discrete event system simulation; master the modeling process of system simulation.Chapter 7 System Dynamics (4 class hours)Knowledge points: overview of system dynamics; causality and feedback loops; system dynamics model; DYNAMO language pro

19、gramming; flow diagram drawing and equation design examples; system dynamics simulation software Vensim and its applicationsFocus: Causality and feedback loopDifficulty: Causality and feedback loopTeaching objectives: require students to understand the basic concepts of system dynamics; understand s

20、ystem dynamics models and related knowledge of programming; grasp the concepts and judgments of causality and feedback loops.Chapter 8 System Evaluation (4 class hours)Knowledge points: the principle of system evaluation; the index system of system evaluation; the weight of evaluation index; system

21、comprehensive evaluation; analytic hierarchy process; fuzzy evaluation method; possibility-satisfaction method; principal component analysis method; data packet network analysisEmphasis: the weight of the evaluation index; systematic comprehensive evaluationDifficulty: AHP; possible-satisfaction met

22、hod; principal component analysis; data packet network analysisTeaching objective: Students are required to understand the analytic hierarchy process, possibility-satisfaction method, principal component analysis method and data packet network analysis method; master the principles of system evaluat

23、ion, the determination of evaluation index weights, system comprehensive evaluation and fuzzy evaluation methods.Chapter 9 System Decision (4 class hours)Knowledge points: system decision-making models and methods; risk-based decision analysis; Bayesian decision-making; utility and decision analysis

24、; decision analysis systems and expert systems; conflict analysis;Focus: Risk-based decision analysisDifficulties: Bayesian decision-making; utility and decision analysis; decision analysis system and expert system; conflict analysis;Teaching objective: Require students to understand Bayesian decisi

25、on-making, utility and decision analysis, decision analysis system and expert system and conflict analysis; understand the models and methods of system decision-making; master various mathematical methods of risk-based decision analysis.Four, Basic teaching requirementsTeachers should teach students

26、 the basic principles, processes and methods of system analysis based on the basic concepts of systems engineering in the teaching process, and teach students various mathematical methods used in the process of system analysis based on examples. On this basis, teach students the various applications

27、 of the use of systems engineering methods in the fields of industrial production, economics and sociology. Since this course is entirely theoretical teaching, it is necessary to make full use of various examples in the teaching process to deepen students understanding of relevant content through th

28、e explanation of examples.The teaching process should focus on cultivating students self-learning ability. If the mathematical methods involved in the course are not explained in detail, students should be given a certain catalog of reference materials to facilitate students self-study of related co

29、ntent. At the same time, students should be encouraged to read certain reference books to make up for the lack of classroom teaching and broaden their knowledge.Five, teaching methodsThis course is mainly theoretical teaching. Theoretical teaching is mainly divided into nine parts based on the basic

30、 concepts of system engineering, namely system engineering methodology, system modeling, system structure modeling method, system simulation, system dynamics, system evaluation and system decision-making. In the course of teaching, more examples should be combined to strengthen students understandin

31、g and mastery of knowledge points.The teaching media used in this course mainly include text materials (including main teaching materials and study guides) and courseware (including course PPT and pictures). The Q&A of the course is mainly in the form of Q&A after class, e-mail and mobile phone comm

32、unication.The examination mainly adopts the closed-book method. The scope of the examination should cover the key content of the knowledge points described. The content of the examination should objectively examine the students understanding of the basic concepts of system engineering and the princi

33、ples and methods of each link in the system analysis process.Overall assessment scores: 20% of the usual homework, 20% of class discussion and attendance, and 60% of the closed-book exam.Six, Reference textbooks and reading listsReference materials:Edited by Dequn Zhou, “Introduction to System Engin

34、eering”, Science Press, first edition, January 2007Edited by Dongchuan Sun and others, Introduction to Systems Engineering, Tsinghua University Press, 2019Yingluo Wang, System Engineering, Mechanical Industry Press, first edition in 1986Seven, Job requirements1. Personal homework requirements(1) Per

35、sonal homework assigned in each class will be submitted during the next class time.(2) After-school homework is required for each student to complete independently, and there must be no plagiarism of other students or the work results of others.(3) After-school homework of the nature of research lit

36、erature review, the number of literature readings must be no less than 15 articles, there must be a review of the main work of the main researcher, the deficiencies in the research should be analyzed, and the ones that you think can be carried out Related research. The literature review assignment s

37、hould be accompanied by the detailed content of the reference, including the author, article title, publication name, publication time, etc.2. Group work (research report) requirements(1) According to the principle of free combination, each class is divided into several groups. Each group consists o

38、f 5-7 people. The group work requires each student to participate in the discussion and research of the group work, and complete the assignment according to the internal work of the group. jobs.(2) Group assignment format requirements: the first page is the cover, including the assignment name, clas

39、s name, list of group members, tasks undertaken by each member, and completion time; the body part includes: a summary of the research content (including purpose, methods, results, Conclusions, etc.); research literature review (combing and summarizing relevant research status at home and abroad); m

40、ain research content (research objects, methods, results, etc.); main conclusions; main references.(3) Independence and innovation requirements: group work must not plagiarize the research results of others, and the source of the research results of others must be noted. If the research data used is

41、 statistical data, the source must be indicated, and if the research data is the research data, the method of obtaining the research data must be provided As for the explanation of the method, if the research report involves the use of relevant calculation software, it is necessary to make an explan

42、ation and have an explanation of the calculation results. Group work requires a certain degree of innovation, which can be innovation in the application field, or improvement and innovation in research methods and methods. The research report needs to make a simple summary of the innovation points.(4) The word count is about 6000-10000 words.(5) Basic criteria for scoring: 20% of the topic selection (novelty, theoretical or application value), standardization (standardization of format, data, calculation and analysis) accounting for 30%