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Systems engineering is a multidisciplinary engineering profession that focuses on the conception, design and development, integration, architecture and management of complex systems over their life cycle. It does this by creating, executing and coordinating an interactive platform for all stakeholders viz: clients, consumers, design team/technical crew and management team amongst others. Complexity of systems hinges on diversity, multiplicity and intricacy of intra and interconnectivity of system entities. This module will commence briefly with some introductory knowledge prior to diverting to intermediate and advanced concepts with specific attention given to case studies, development and application of models and emergence of research opportunities. 
Case-based systems engineering management: 

• Concept design: identifying requirements; exploring concepts; evaluating concepts; defining concepts. 
• Engineering design: deployment of CORE9 for systems architecting and integrating. 
• Post-development considerations: production systems design; operations and logistics in a systems life cycle. 

Systems engineering analysis: 

• Modelling of case study dynamical systems 
• Risk modelling throughout a system’s life cycle 
• Adaptive and predictive behaviour of systems 
• Optimal network selection and complexity issues in system dynamics. 

Complexity of interaction in systems: 

• Internet of things (IoT) 
• Relationship of things (RoT) 
• Interaction dynamics 
• Social engineering 
• System’s performance-failure dynamics
• Human-machine systems interaction and AI systems.