MIT8201 Systems Analysis and Design
Unit Code
MIT8201
Level
Postgraduate
Campus
Sydney
Prerequisites
MIT8102
Credit Points
10
Subject Description
MIT8201 Systems Analysis and Design aims at promoting a deep understanding of the methodologies and processes integral to developing effective information systems. This subject equips students with advanced analytical skills in data requirements gathering and data modelling to validate strategic organisations’ processes. Students will gain experience in agile development and the object-oriented approach to systems development including gathering and modelling requirements using industry object-oriented tools and techniques and designing solutions with a strategic view to organisation’s problems and solutions.
Subject Type
☒ Core
Study Mode: Face to face on site
Study Load: Full-time
Learning Topics
- Systems analysis and development methodologies
- Requirements gathering and project planning
- Agile modelling, design thinking and prototyping
- Object-oriented analysis and UML
- Database, interface and user-experience design
Subject Learning Outcomes
- Demonstrate deep understanding of fundamental methodologies and tools for the analysis and design of information systems, including articulating the differences between Structured Design, Non-Structured, and Object-Oriented design.
- Critically evaluate various tools and techniques, including artificial intelligence tools such as generative AI, to analyse user requirements, model data, processes, and objects, while documenting software design using industry standards.
- Analytically apply knowledge in requirements engineering by interpreting business rules, processes, and constraints from diverse perspectives to recommend practical solutions that support managerial decision-making.
- Develop conceptual, logical, and physical WebML/UML data models to facilitate the effective communication of design prototypes for information systems outputs tailored to client requirements.
- Demonstrate effective communication, teamwork, and professional skills for successful systems analysis and design tasks.
Assessment
AIIHE uses a variety of assessment tools to guide and assess each student’s achievement of the subject learning outcomes. In this subject, students undertake students will propose a complex software analysis and design case study, conducting a deep research and analysis on a real-life scenario, students will demonstrate their knowledge and skills of industry modelling tools covering theoretical and practical topics studied in the subject, and students create teams to collaborate on a complex software analysis and design case study, conducting research and critical analysis on a real-life scenario built upon the design thinking and project plan proposals presented in assessment 1. These tasks assess the knowledge, applied skills, critical analysis, communication and collaborative capabilities relevant to the subject.
Summary of Assessment
- Students must attempt all assessment tasks, and achieve an overall mark of at least 50%, to pass this subject.
- Assessment in this subject is consistent with and informed by the AIIHE Assessment Policy and Procedure.
| Assessment Type | Due Date | Weighting |
|---|---|---|
| Assessment 1: System Design Case - Individual approach | Week 3, 6 | 40% (20% each) |
| Assessment 2: Practical Skills Assessments | Week 5, 8 | 20% (10% each) |
| Assessment 3: Group Project - System Design Case | Week 11, 12 | 40% |
Learning Resources
AIIHE will update the topic coverage of the subject and the available relevant learning resources at the time of subject delivery. In the interim, AIIHE provides the following indicative list of relevant reference material. AIIHE also subscribes to eLearning Resources through the Canvas portal, and where relevant material is available, AIIHE will seek to source reference material from this system for staff and student access.
Prescribed Reading
- Kendall, K.E., Kendall, J.E., 2019, Systems analysis and design, 10th Edition, Pearson Prentice Hall, USA.
- Mueller-Roterberg, C., 2019, Handbook of Design Thinking: Tips & Tools for how to design thinking, Kindle edition.
Texts and References
- Valacich, J.S., George, J.F., 2019, Modern systems analysis and design, 9th Edition, Pearson Prentice Hall, USA.
- Ceri, S., Fraternali, P., Bongio, A., 2000, Web Modelling Language (WebML): a modelling language for designing Web sites, Computer Networks, 33(1–6), pp. 137-157, https://doi.org/10.1016/S1389-1286(00)00040-2.