MQF Level 5 Systems Analysis and Design [20 ECTS Credits]

Course Length
Total 26 Hours (8 Sessions)
Intakes

October 2021

Next Intake
October 28, 2021
Class Schedule
Oct 28, Nov 4, 11, 18. 25, Dec 2 (5.30 - 8.30 pm, Weekend 9 - 1 pm)
Awarding body
OTHM

€350.00 (EU / Maltese)

Reg Fee + Assignment Fee €110
MQF Level 5 Systems Analysis and Design [20 ECTS Credits]
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.

Overview

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. 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.
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