Informazioni di Model-based Systems Engineering | DidatticaWEB

Generali:

Dipartimento: Ingegneria
Settore Ministeriale: ING-INF/05
Codice di verbalizzazione: 80300162
Metodi di insegnamento: Frontale
Metodi di valutazione: Orale
Prerequisiti: There is no mandatory prerequisite to meet. However, it is highly recommended to have a good knowledge of programming languages, operating systems and database management systems.
Obiettivi: LEARNING OUTCOMES: the course intends to provide methodological and application-oriented aspects for the development of complex systems, with focus on software-intensive systems, and to illustrate principles, standards and technologies of model-based and model-driven engineering, with application to the development of software-intensive systems. KNOWLEDGE AND UNDERSTANDING: at the end of the course students acquire a solid knowledge about the systems lifecycle, as well as systems analysis, design, verification and validation methods. APPLYING KNOWLEDGE AND UNDERSTANDING: students get the necessary skills to use methods and tools for the qualitative and quantitative analysis and design of software systems, and for project management, as well as relevant approaches for model-based and model-driven software development. MAKING JUDGEMENTS: Students have to demonstrate the ability to understand and interpret in an autonomous and critical way the acquired knowledge, in order to connect and integrate the various aspects, as well as the ability to investigate, select and choose methods, techniques and tools for model-based and model-driven development of software-intensive systems. COMMUNICATION SKILLS: students should be able to communicate their knowledge acquired during the course in a clear and correct way and with technical language. This aspect will be promoted by applying the topics covered in the course to different domains, by use of various case studies, so to stimulate students discussion. LEARNING SKILLS: at the end of the course students are able to critically deal with new problems and to find effective and correct solutions, also through review and discussion of available scientific literature.

Didattica:

A.A.: 2024/2025
Canale: UNICO
Crediti: 6

Classe virtuale:

Nome classe: D'AMBROGIO-8067941-MODEL-BASED_SYSTEMS_ENGINEERING
Link Microsoft Teams: Link
Docente: D'AMBROGIO ANDREA