| Course Code and Name: SEEM3430 Information Systems Analysis and Design |
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| Course Objectives: Information system development life cycle; user requirement analysis; feasibility study; cost/benefit analysis; systems analysis tools such as data flow diagrams and process specification tools. Real time systems analysis. Transformation from analysis to design. Structured chart. System design quality heuristics such as coupling and cohesion. System design packaging and design optimization: CASE (Computer-Aided Software Engineering) Tools. |
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| Course Outcomes: 1. Understand System Development Life Cycle (SDLC) and its different forms in practice. 2. Able to perform data analysis and design using Entity Relationship Diagram (ERD) 3. Able to perform functional analysis and design using Data Flow Diagram (DFD) | Programme Outcomes: (P1) The ability to apply knowledge of mathematics, science, and engineering appropriate to the degree discipline (K/S) (P2) The ability to design and conduct experiments, as well as to analyze and interpret data (K/S) (P3) The ability to design a system, component, or process to meet desired needs within realistic constraints, such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability (K/S) (P4) The ability to function in multi-disciplinary teams (S/V) (P5) The ability to identify, formulate, and solve engineering problems (K/S) (P6) The understanding of professional and ethical responsibility (V) (P7) The ability to communicate effectively (S) (P8) The ability to understand the impact of engineering solutions in a global and societal context, especially the importance of health, safety and environmental considerations to both workers and the general public (V) (P9) The ability to recognize the need for, and to engage in life-long learning (V) (P10) The ability to stay abreast of contemporary issues (S/V) (P11) The ability to use the techniques, skills, and modern engineering tools necessary for engineering practice appropriate to the degree discipline (K/S) (P12) The ability to use the computer/IT tools relevant to the discipline along with an understanding of their processes and limitations (K/S/V) (P13) The ability to apply the skills relevant to the discipline of operations research and information technology and their applications in engineering and managerial decision making, especially in financial services, logistics and supply chain management, business information systems, and service engineering and management (K/S) K = Knowledge outcomes S = Skills outcomes V = Values and attitude outcomes |
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| Weights (in %): | ||||||||||||||
| P1 | P2 | P3 | P4 | P5 | P6 | P7 | P8 | P9 | P10 | P11 | P12 | P13 | Other | Total |
| 30% | 30% | 20% | 10% | 10% | 100% | |||||||||
| Course Outcome(s) is/are measurable or not: If Yes, please suggest ways to measure: (P1) Students in a team of 4 are involved in a system analysis and design project, which contributes to 30% of the overall score. (P3) The projects involved the logical design of a real world problem, namely a credit card system of a bank. (P5) The first and second phases of the project involve project planning and requirement specification respectively. They account for 60% of the project. (P7) It is a group project. Students meet regularly for discussion. Also a final report has to be submitted. The report accounts for 10% of the project. (P8) The third phase of the project involves system analysis and design based on the constraints of the target application. This phase accounts for 30% of the project. |
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