Systems Analysis and Design Assignment Help

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Qualification - OTHM Level 4 Diploma in Information Technology

Unit Name - Systems Analysis and Design

Unit code - F/617/2266

Unit Level - Level 4

Assignment Title - Systems Analysis and Design

Unit Credit - 20

Learning Outcome 1: Understand the principles of systems analysis and design.

Answer: Systems analysis and design is a methodical approach to solving business problems and improving organizational efficiency through information systems. It begins with systems analysis, which involves thoroughly understanding the current system, identifying its strengths and weaknesses, and pinpointing opportunities for improvement. This phase often includes requirements gathering, where analysts interact with stakeholders to determine their needs and define the functionalities the new or improved system must possess. Once the 'what' is clear, systems design commences, focusing on the 'how'. This involves creating a detailed blueprint for the new system, encompassing aspects like data structures, user interfaces, system architecture, and processing logic. Key principles throughout both phases include a user-centric approach to ensure the system meets end-user needs, a structured and modular design for maintainability and scalability, and iterative development, often involving prototyping and testing, to ensure the system evolves in line with requirements and remains robust. Ultimately, the goal is to deliver a solution that is not only technically sound but also aligns with organizational goals and delivers tangible business value.

Learning Outcome 2: Understand system design methodologies and modelling.

Answer:  System design methodologies provide structured approaches to guide the complex process of creating information systems, ensuring they are robust, scalable, and maintainable. Common methodologies include the traditional Waterfall model, which follows a linear, sequential flow (requirements, design, implementation, testing, deployment), and Agile methodologies (like Scrum and Kanban), which emphasize iterative development, flexibility, and continuous feedback. Other approaches include the Spiral model, which incorporates risk management, and Rapid Application Development (RAD), focusing on quick prototyping. Complementing these methodologies is system modeling, which uses various graphical notations, primarily from the Unified Modeling Language (UML), to create abstract representations of the system from different perspectives. These models include use case diagrams for user interactions, class diagrams for system structure, sequence diagrams for component interactions, and activity diagrams for process flows. By applying these methodologies and modeling techniques, designers can effectively translate user requirements into a comprehensive blueprint, facilitating communication among stakeholders, identifying potential issues early, and ultimately leading to the successful development and deployment of a well-engineered system.

Learning Outcome 3: Understand the human computer interface.

Answer:  Human-Computer Interface (HCI) is a multidisciplinary field focused on the design and evaluation of interactive computing systems for human use. The core principle of HCI is to make technology intuitive, efficient, and enjoyable for users, essentially tailoring the system to people rather than forcing people to adapt to the system. This involves understanding human psychology (cognitive processes like memory, perception, and problem-solving), the capabilities and limitations of technology, and the context in which the interaction occurs. Key design principles include visibility of system status (keeping users informed), matching between the system and the real world (using familiar language and concepts), user control and freedom (allowing users to easily undo actions and navigate), consistency and standards (maintaining uniformity across the interface), error prevention and recovery (designing to minimize errors and provide clear recovery paths), and recognition rather than recall (making elements and actions visible instead of relying on memory). A well-designed HCI ultimately leads to enhanced user satisfaction, increased productivity, and a more effective and engaging user experience.

Learning Outcome 4: Be able to produce a system design using modelling techniques.

Answer:  Producing a system design using modeling techniques is a crucial step in the software development lifecycle, transforming abstract requirements into concrete blueprints. This process typically involves leveraging the Unified Modeling Language (UML), a standardized set of graphical notations, to create various views of the system. For instance, use case diagrams visually define the system's functionalities from the user's perspective, illustrating how different actors interact with the system. Building upon this, sequence diagrams detail the dynamic behavior by showing the order of messages exchanged between objects or components during a specific scenario. For static structure, class diagrams lay out the system's fundamental building blocks-classes, their attributes, methods, and relationships-providing a clear overview of the data and logic organization. Furthermore, activity diagrams can model business processes or workflows within the system, demonstrating the flow of control. The iterative application of these and other UML diagrams (like component diagrams for physical structure or state machine diagrams for object behavior) allows designers to progressively refine the system's architecture, identify potential issues early, and ensure that the final implementation aligns precisely with the defined requirements, all while facilitating clear communication among all project stakeholders.

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Aim: The aim of this unit is to develop learners' awareness of analysis and design in an organisational context. The unit introduces various techniques used within systems analysis and design and the methodologies used in the system development process.

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LO1 • Basic definitions and motivations of HCI, including history, theories, interaction paradigms, design principles and models.
• User centred design methods comprising user studies
• Design approaches for interfaces and interaction
• Quality factors
• Evaluation methods
• Techniques for data analysis.
• Research frontiers of HCI, including accessibility, universal design, and pervasive computing (ubiquitous, mobile and wearable applications).
• Lifecycle models: understanding and use of predictive (Waterfall, Prototyping, RAD) and adaptive (Spiral, Agile, DSDM) software development models.
• Lifecycle stage and connectivity: feasibility study, analysis, design, implementation, testing, review or analysis, design, implementation, maintenance, planning; requirements traceability.
• Test and integration: building test environments; developing test harnesses; black box/white box testing; incremental testing; acceptance test and integration approaches; changeover strategies, trials and Go-Live prerequisites.
• Prototyping methodology
• End user categorisations, classifications and behaviour modelling techniques.
• Agile, Cleanroom, Incremental, Prototyping, Spiral V model, Waterfall.
• Hard and soft system methodologies Object-oriented modelling.

LO2 • Information systems types: Business information systems, decision support systems, management information systems, strategic/executive information systems, office information systems, transaction processing systems, expert systems, global information systems, data warehouse systems, enterprise systems, enterprise resource planning systems, integrated information systems.
• Categories of information systems: operational, tactical and strategic information systems.

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LO3 • Information and data: Definition of information and data, sources of information, information requirements and the needs for information at different levels within an organisation; storing information and its importance with regard to security, accuracy and relevance; outputs e.g. payroll, invoicing, ordering, bookings, stock control, personnel records, goods tracking, decision-making, marketing, customer service.
• Management information: Reports e.g. sales report, college enrolment statistics, marketing analysis (brick v click), trends in the market, competition and market share, - management of computer systems, staffing, maintenance, project management and scheduling.
• Selecting information: Analysis of information in terms of validity, accuracy, currency and relevancy; identifying and rationalising meaningful information from data sets.
• Uses: Proficiency in terms of accessing quality information that can be used for decision-making, problem-solving, predictions, trending and forecasting.
• Flowcharts; Pseudocode; Formal specification Methods; Event/State/Data Driven; Finite State. Machines (extended-FSM)/FSP; problem of e-FSM state explosion; reachability analysis.
• Docker, CoreOS, Cloud Foundry, Kubernetes and OpenStack.
• DevOps and continuous integration practices, as well as the deployment tools available to architects to meet and exceed their business goals.

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LO4 • Lab based, or work place

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