XXXVII Doctoral Period
General Plan
The specific educational plan for the students of the XXXVII Cycle is expected to stick to the general rules of the doctorate educational plan, as described in the associated page. The key point of this plan is that all students are expected to gain at least 44 ECTS of didactic activities, of which at least 22 during the first year and at least 12 in the second year.
In the case the need for social distancing will prevent organising courses in the traditional (in presence) modality, we will turn them into online courses.
In any case, should the enduring of the COVID-19 emergency prevent some of the students in regularly carrying on their learning and research activities, the board of the school will flexibly evaluate these situations.
Planned Courses
The course planned so far for the students of the XXXVII Cycle, in addition to all the courses made available in the context of the broader PhD School "E4E - Engineering for Economics - Economics for Engineering", are focussed on themes of general scientific and technological interests, and are tailored to be fruitfully attended by all the students of the course, independently of their specific research area. In particular:
1st Year (2022)
Scientific Communication in English, Dr. Adrian Wallwork, English for Academics sas
4 days of 6 hours each (6 ECTS)
Semester I, 2022
Theory and Practice of Innovation, Ing. Claudio Ferrari, Tetrapack Solutions
6 lessons of 2.5 hours each (4 ECTS)
Semester I, 2022
Solving Optimization Problems in Python, Basic Module and Advanced Module, Prof. Tiego Alvez de Queiros, Federal University of Catalao
2 modules of 18 hours each (4,5 ECTS each module)
Semester I, 2022
Operation Research for Sustainable Logistics, Prof. Matthias Klumpp, University of Gottingen
6 lessons of 2.5 hours each (4 ECTS)
Semester I, 2022
Research Planning, Organization, and Valorization, organized by the UNIMORE research office
4 modules of 4 hours each, plus several topical seminars
Semester I, 2022
Strategic Issues in High-Performance Manufacturing Systems, Prof. Miguel Sellitto,Universidade do Vale do Rio dos Sinos, Brazil
2 lessons of 6 hours each (3 ETCS)
Semester II, 2022
Introduction to Artificial Intelligence and Machine Learning, Prof. Marco Lippi, Universitą di Modena e Reggio Emilia
2 lessons of 6 hours each (3 ETCS)
Semester II, 2022
Operations Improvement Methods and Simulation, Prof. David Parker, University of Queensland Australia
2 lessons of 6 hours each (3 ETCS)
Semester II, 2022
Introduction to Autonomous Systems, Dr. Stefano Mariani, Universitą di Modena e Reggio Emilia
2 lessons of 6 hours each (3 ETCS)
Semester II, 2022
2nd Year (2023)
For the second year, students are expected to join the courses that will be organized for the students of the XXXVIII Cycle (and that they have missed in attending during the first year).
In addition, students are expected to gain ETCS by participating to international conferences and tutorials in their own specific research area.