City University of Hong Kong Course Syllabus

Transcription

1 City University of Hong Kong Course Syllabus offered by Department of Systems Engineering and Engineering Management with effect from Semester A 2015/16 Part I Course Overview Course Title: Course Code: Course Duration: Credit Units: Level: Proposed Area: (for GE courses only) Medium of Instruction: Medium of Assessment: Prerequisites: Precursors: Equivalent Courses: Exclusive Courses: Systems Modelling, Optimization and Simulation SEEM4026 One Semester 3 B4 Arts and Humanities Study of Societies, Social and Business Organisations Science and Technology English English MA2172 Applied Stats for Science & Engineering or MA2177 Engineering Mathematics and Statistics Nil MEEM4026 Systems Modelling and Simulation Nil 1

2 Part II Course Details 1. Abstract (A 150-word description about the course) The aim of this course is to introduce various system modelling and simulation techniques, and highlight their applications in different areas. It includes modelling, design, simulation, planning, verification and validation. 2. Course Intended Learning Outcomes (CILOs) (CILOs state what the student is expected to be able to do at the end of the course according to a given standard of performance.) No. CILOs # Weighting* (if applicable) 1. Outline the usefulness of system modelling and simulation. 10% Discovery-enriched curriculum related learning outcomes (please tick where appropriate) A1 A2 A3 2. Apply the mathematical equations for modelling the behaviour of given systems in areas such as manufacturing, logistic and service. 3. Use a range of manual processes to model and simulate the given systems. 4. Use a range of commercial software packages to construct, verify and validate models of the given systems. 25% 25% 40% * If weighting is assigned to CILOs, they should add up to 100%. 100% # Please specify the alignment of CILOs to the Gateway Education Programme Intended Learning outcomes (PILOs) in Section A of Annex. A1: Attitude Develop an attitude of discovery/innovation/creativity, as demonstrated by students possessing a strong sense of curiosity, asking questions actively, challenging assumptions or engaging in inquiry together with teachers. A2: Ability Develop the ability/skill needed to discover/innovate/create, as demonstrated by students possessing critical thinking skills to assess ideas, acquiring research skills, synthesizing knowledge across disciplines or applying academic knowledge to self-life problems. A3: Accomplishments Demonstrate accomplishment of discovery/innovation/creativity through producing /constructing creative works/new artefacts, effective solutions to real-life problems or new processes. 2

3 3. Teaching and Learning Activities (TLAs) (TLAs designed to facilitate students achievement of the CILOs.) TLA Brief Description CILO No. Hours/week (if applicable) Large class activities The large class activities include mainly lectures. Each student needs to conduct a mini-project. 30 hours/ semester Laboratory Work The first laboratory is to let students get starting with the System Modelling and Simulation Software. The second laboratory is to let students work with the System Modelling and Simulation Software. The last laboratory is to let students apply the System Modelling and Simulation Software. 9hours/ semester 4. Assessment Tasks/Activities (ATs) (ATs are designed to assess how well the students achieve the CILOs.) Assessment Tasks/Activities CILO No. Weighting* Remarks Continuous Assessment: 50 % Laboratory Report 20% Mini-project Report 30% Examination: 50 % (duration: 2 hours) * The weightings should add up to 100%. 100% For a student to pass the course, at least 30% of the maximum mark for the examination should be obtained. 3

4 5. Assessment Rubrics (Grading of student achievements is based on student performance in assessment tasks/activities with the following rubrics.) Assessment Task Criterion Excellent (A+, A, A-) 1. Laboratory Report Base on laboratory report: i Experimental results (50%) ii Result analysis and discussion (50%) Laboratory reports will be marked according to the requirement described on the lab sheets. Good (B+, B, B-) Adequate (C+, C, C-) Marginal (D) Failure (F) High Significant Moderate Basic Not even 2. Mini-project Report Base on project report and program demonstration i Application of mathematical equations to describe the problem. (20%) ii Construction of the model to describe the problem (20%) iii Demonstration of the constructed model (40%) iv Discussion on the verification and validation of the model (20%). Each mini project work will be given a problem to solve. Each student needs to outline the capability that system modelling and simulation can do. Also, it needs to describe and apply the mathematical equations for modelling the given problem. Then use a commercial software package to construct, verify and validate the built model. High Significant Moderate Basic Not even 3. Examination Examination will include multiple choice questions and long questions. High Significant Moderate Basic Not even Examination will be numerically-marked and grades awarded accordingly. 4

5 Part III Other Information (more details can be provided separately in the teaching plan) 1. Keyword Syllabus (An indication of the key topics of the course). Statistical models in simulation, queuing models, random number generation, random variate generation, ARENA, entity transfer, steady-state statistical analysis, and model verification and validation. 2. Reading List 2.1 Compulsory Readings (Compulsory readings can include books, book chapters, or journal/magazine articles. There are also collections of e-books, e-journals available from the CityU Library.) 2.2 Additional Readings (Additional references for students to learn to expand their knowledge about the subject.) 1. Simulation with Arena, 4th Edition, W. David Kelton, Randail P. Sadowski, David T. Sturrock, Discrete-Event System Simulation, 4 rd Edition, Jerry Banks, John S. Carson II, Barry L. Nelson, David M. Nicol,