Learning Outcomes - The learner will:

1. Understand the principles of systems analysis and design.
   Assessment Criteria - The learner can:
   1. Explain how systems analysis and design fits in to the software development life-cycle.
   2. Explain the components of systems analysis.
   3. Evaluate different approaches to system analysis and design.
   4. Evaluate system design requirements.
      
      
2. Understand system design methodologies and modelling.
   Assessment Criteria - The learner can:
   1. Explain system design concepts.
   2. Evaluate different system design methodologies including object-oriented.
   3. 
      
      
3. Understand the human computer interface.
   Assessment Criteria - The learner can:
   1. Explain the principles of HCI.
   2. Evaluate HCI methodologies.
      
      
4. Be able to produce a system design using modelling techniques.
   Assessment Criteria - The learner can:
   1. Create a system design document.
   2. Produce a model of a software system.
   3. Produce a security and control design.

Learning Outcome 1

• 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.

Learning Outcome 2

• 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.

Learning Outcome 3

• 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.

Learning Outcome 4

• Lab-based or workplace.