Systems Analysis and Engineering

Systems thinking - a way to understand complex situations by looking at them as combinations of systems.
- Innovation System
- Quality system
- Scientific system
- Innovation Management
- Quality Management
- System Science
System Approach - a way to deal with real-world problems that use the tools of systems science to make it possible to design and use systems.
Concepts innovation R&D scientific method and analysis
System engineering, problem solving for engineers and scientific methodology.
Importance of reliability and validity in R&D and development projects in technology.
Design of engineering system innovation for sustainable development with regard to economics, people, ethics, and the environment.
Design of experimental process, measurement testing and verification of subsystem.
Observation analysis synthesis evaluation (OASE) measurement technique, reliability, verification, validity, analysis of technical systems, concepts, processes and products.
Digitization, modeling of processes, simulation, risk assessment as fault analysis FTA uncertainty and data analysis.
Comprehensive and multidisciplinary system planning with regard to resources, life cycle from an environmental perspective. System mapping, budgeting, project financing, project economics and resource planning.
Development of procedures for system modeling according to the methodology and methods used in international quality systems for system design.
Interaction, communication between individual elements and the system as a whole.
- Digital evaluation system.
Impact analysis philosophical considerations of digitization, robotization development with I4.0. AI AR ZEB SD
Risk analysis FMEA uncertainty analysis project economy.

Knowledge:
-The student will have knowledge of how system modelling and whole system thinking can contribute to generating sustainable technological development, with respect to different products' life cycles and with an environmental perspective.

Skills:
-Students will learn to analyse engineering systems, concepts, processes and products by means of key quality systems methods, scientific methods and risk analysis techniques.

-Lectures
-Øvinger
-Supported learning
Additional information:
The course is designed for implementation both for campus students and online students. Exercises can be done via the internet.
Guidance and lectures are poured, and recordings are made that will later be linked from the learning platform. Video lectures are also used for theory, if such material has been published in advance, students are expected to be prepared.
Guidance is performed both synchronously and asynchronously using data tools, see the progress plan for this on the learning platform Blackboard.
There will be up to 4 collections.
There will be 3 mandatory work requirements that are required to pass the exam.
Scheduled time consumption will be:
- Live and online lectures and video lectures 53 hours
- Organized guidance 13 hours
- Work on mandatory assignments 80 hours
- Self-employed 120 hours
SUM: 270 hours