System Integration

• analyze and model the requirements of a system
• explain a socio-technical system using model-driven frameworks
• model a system and its components
• define rules to integrate data from heterogeneous data sources
• design a multi-dimensional data model capable of answering analytical questions
• design process collaborations and process models
• apply modeling techniques for domain modeling, requirements, design, and systems in a specific case
• discuss the appropriateness of models to explain a given problem
• achieve the above goals in a group effort while at the same time maintaining individual accountability

This course covers model-based techniques to integrate the different components of a socio-technical system. In particular, the course will focus on the following problems:

– how to model different views of a complex system made of multiple components
– how to integrate data from heterogeneous sources
– how to integrate software components

Some of the techniques to address those problems include:
– Requirements engineering techniques to specify properties of complex systems and its components
– Modeling complex systems using enterprise architectures
– Data models and data integration techniques
– Choreographic and collaborative approaches to model and integrate processes

02141/02161/02170, Knowledge of standard modelling languages in computer science (UML, Automata, ER)

Lectures with exercises. Mandatory assignment.