Study plan

FOUNDATIONS - 1 & 2 sem - Obbligatori per tutti i PhD students

• Methods for Research
  • Intellectual property management
  • Research ethics
  • Scientific writing, positioning and oral presentation / Academic writing for Engineering
  • Fund Raising and Project Writing and Management

• Scientific and computer science foundation of artificial intelligence

• Research Applied Methods
  • Design of Experiments (DOE)
  • Statistical learning for research
  • Applied Quantitative Methods
  • Critical reading and research design
  • Product and Process Sustainability
  • Simulation Methods and Tools

Corsi tematici che i dottorandi possono scegliere in base al proprio percorso di ricerca, opzionando tra le seguenti possibilità:

• Academic Entrepreneurship;
• Advanced course in Python for Machine Learning;
• Analysis and control of complex networks
• From a literature review to a conceptual framework: how to develop research model and hypotheses;
• Methods and tools for the circular design;
• Methods and tools to automatically manage scientific data;
• Research methodologies for complex systems;
• Research topics in Manufacturing and Service Operations Management (M&SOM);
• Influences of new production technologies on material properties;
• Advanced Computational Methods for Engineering.

I dottorandi potranno partecipare a seminari di ricerca organizzati periodicamente nelle diverse aree di interesse e presenteranno periodicamente il proprio stato di avanzamento del lavoro di tesi in appositi seminari di ricerca.

Gli studenti di dottorato potranno inoltre partecipare a Summer/Winter School su tematiche coerenti con Corso di Dottorato.