Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Have knowledge of the most important system engineering tools.
• Have knowledge about tools for system modelling and simulation.
• Know of methods for simulating or emulating automated production systems to test control logic and validate broader impact of automation projects on production / logistics system performance with metrics for capacity and bottleneck utilization, material flow, inventory levels.
• Know how to proactively design for and manage system lifecycle targets.

Skills

• Understands system engineers’ role and responsibilities.
• Is able to apply systems engineering tools to realistic problems. 

• Develop simple simulation and emulation models to validate impact of automation projects on manufacturing / logistics systems and overall system performance using queuing theory and stochastics.
• Can formulate an effective plan for gathering and using data.

Competences

• Must be able to rationalize and scientifically justify the use of a specific model for a given problem.
• Is able to recognize the value and limitations of modelling and simulation.
• Should be able to develop models for pre-testing various control logics.
• Should be able to communicate with rest of the organization about impact of automation / steering on metrics for production unit / logistics system.  
• Should be able to develop a systems engineering plan for a realistic project. 
• Should be able to judge the applicability of any proposed process, strategy, or methodology for systems engineering using the fundamental concepts from disciplines such as of probability, economics, and cognitive science.

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.

Exam

Exams