BCS Practitioner Certificate in Systems Modelling Techniques

Duration: 4 Days (32 Hours)

BCS Practitioner Certificate in Systems Modelling Techniques Course Overview:

The BCS Practitioner Certificate in Systems Modelling Techniques is a prestigious professional certification tailored to affirm individuals’ adeptness in employing industry-standard methods and techniques for system modeling. Encompassing vital elements like data flow diagrams, entity relationship diagrams, and state transition diagrams, this certification ensures the holder’s proficiency in interpreting, analyzing, and constructing system models. Such skills are paramount for comprehending the intricacies of system design, implementation, and operations. Industries leverage this certification to endorse professionals capable of enhancing or building systems, leading to enhanced efficiency, resource savings, increased productivity, and elevated profitability across various tasks and workflows.

Intended Audience:

• IT professionals involved in system development
• Analysts needing to understand and model business processes
• Project managers overseeing IT development projects
• Business professionals seeking to understand system development
• Individuals pursuing BCS certifications.

Learning Objectives of BCS Practitioner Certificate in Systems Modelling Techniques:

The BCS Practitioner Certificate in Systems Modelling Techniques course aims to equip learners with advanced skills in using system modeling approaches to enhance their effectiveness in software development. Upon completion of the course, learners are expected to achieve several key learning objectives:

  1. Utilize System Modelling Approach: Understand the principles and significance of employing a system modeling approach in software development projects.
  2. Industry-Standard Notations: Gain proficiency in using industry-standard notations and techniques for creating models that accurately represent system requirements, design, and behavior.
  3. Model Development: Develop various types of models, such as use case models, class models, and activity models, that effectively capture different aspects of the software system.
  4. Use Case Modelling: Master the art of use case modeling, including defining user requirements, actors, system boundaries, and use case descriptions. Understand how to create use case diagrams and describe main and alternative flows.
  5. Class Modelling: Acquire skills in class modeling, including defining objects, classes, attributes, operations, and associations. Understand the concepts of abstraction, encapsulation, and inheritance.
  6. Activity Modelling: Learn how to create activity diagrams to model process flows and interactions within the system. Understand how to use activity diagrams to represent use case descriptions.
  7. Interrelationships: Comprehend the interrelationships between different types of models and how they contribute to a holistic view of the software system.
  8. Complexity Management: Understand how to manage complexity through effective modeling techniques. Learn how to use models to visualize and communicate system architecture, functionality, and interactions.
  9. Client Requirements Alignment: Apply system modeling techniques to ensure that the end product aligns with client requirements and specifications.
  10. Practical Application: Develop practical skills in applying modeling techniques to real-world software development scenarios. Understand the benefits of using models to enhance communication, collaboration, and project outcomes.
  11. Project Management: Gain insights into how system modeling contributes to effective project management by aiding in requirement gathering, design planning, and validation.
  12. Effective Communication: Enhance communication skills by using models to convey complex technical concepts to stakeholders, including clients, developers, and non-technical team members.
  13. System Analysis: Use modeling techniques to analyze system behavior, relationships, and potential interactions, helping in identifying potential issues and improvements.
  14. Quality Assurance: Use system modeling as a tool for quality assurance, ensuring that the developed software meets the required standards and specifications.

Overall, the course intends to provide learners with the knowledge and skills needed to apply advanced system modeling techniques to the software development process effectively. By achieving these learning objectives, participants are better equipped to navigate complex projects, ensure client satisfaction, and contribute to successful software solutions.

Section 1: Systems Modelling (5%)

  • Discuss the need for modeling and modeling standards.
  • Explain the rationale behind the selected modeling approach.
  • Describe the approach to systems development and its lifecycle.
  • Understand the role of models within the systems development lifecycle.
  • Explore different perspectives for modeling IT systems.
  • Explain how different models interact with each other.
  • Discuss the importance of validating and verifying models.

Section 2: Systems Modelling in Context (10%)

  • Monitor analysis against business objectives and system requirements.
  • Explain how modeling bridges the gap to design, software package selection, and development.

Section 3: Modelling Functionality (35%)

  • 3.1 Use Case Modelling (25%)
    • Model user requirements using use cases.
    • Define actors and the system boundary.
    • Create use case diagrams.
    • Describe use case templates, including pre- and post-conditions.
    • Define main and alternative flows in use case descriptions.
    • Understand the concepts of <<include>> and <<extend>> relationships.
  • 3.2 Activity Diagrams (10%)
    • Use activity diagrams to model processing.
    • Utilize activity diagrams to model use case descriptions.

Section 4: Static Modelling (25%)

  • 4.1 Analysis Class Modelling Rationale
    • Understand the rationale behind analysis class modeling.
    • Explore objects, classes, and their relationships.
  • 4.2 Objects and Classes
    • Define class diagrams and object diagrams.
    • Understand abstraction and encapsulation.
  • 4.3 Associations
    • Define associations between classes.
    • Discuss naming associations, multiplicities, and constraints.
  • 4.4 Generalization and Inheritance
    • Model generalization and inheritance.
    • Understand private, public, and protected attributes.
    • Explore the concept of polymorphism.

Section 5: Dynamic Modelling (25%)

  • 5.1 Use Case Realization
    • Understand how to realize use cases.
    • Create sequence diagrams to represent interactions.
  • 5.2 Sequence Diagrams
    • Define lifelines, focus, and message notation.
    • Populate the class diagram using sequence diagrams.
    • Use opt, alt, and loop constructs in sequence diagrams.
  • 5.3 State Machine Diagrams
  • 5.4 Communication Diagrams (An Introduction)

Section 6: Modelling Functionality (35%)

  • 6.1 Modelling Processes using Data Flow Diagrams
    • Define processes, external entities, data stores, and data flows.
    • Discuss decomposition and levels of DFDs.
  • 6.2 Elementary Process Descriptions
    • Document processing using elementary process descriptions.
  • 6.3 Types of Data Flow Diagrams
    • Understand different types of DFDs – current and required.

Section 7: Static Modelling (30%)

  • 7.1 Modelling Data using Entity Relationship Diagrams
    • Define entities and relationships.
    • Discuss cardinality, optionality, exclusivity, recursion, and more.
  • 7.2 Supporting Documentation
    • Create descriptions for entities, relationships, and attributes.

Section 8: Dynamic Modelling (25%)

  • 8.1 Analysing the Behaviour of Entities
    • Understand events, inquiries, effects, and the entity access matrix.
    • Model the behavior of entities using sequence, selection, and iteration constructs.
  • 8.2 Documenting Navigation Paths

BCS Practitioner Certificate in Systems Modelling Techniques Course Prerequisites

• Minimum one year’s IT-related experience
• Knowledge in business or system analysis
• Familiarity with basic IT-related mathematical concepts
• Understanding of basic system life-cycle concepts
• Knowledge in at least one specific approach to modelling system functions
• Basic understanding of project management.

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  • Practice Labs.
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  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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