XXXVI Doctoral Period

Specific Rules

The specific educational plan for the students of the XXXVI 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 courses planned so far for the students of the XXXVI Cycle are listed below. Students can then refer to the "Courses" page of the school Website for detailed information (exact dates and schedules, and teaching materials) about each of the courses. Email information and news on the Website will be in any case provided to all students.

Students are also encouraged to have a look at the educational plans of the other courses of the E4E Doctorate school, where they can find additional interesting proposal, valid for this doctorate course.

Scientific Communication in English, Dr. Adrian Wallwork, English for Academics sas
4 days of 6 hours each (6 ECTS)
Semester I, 2021

Theory and Practice of Innovation, Ing. Claudio Ferrari, Tetrapack Solutions
6 lessons of 2.5 hours each (4 ECTS)
Semester I, 2021

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, 2021

Operation Research for Sustainable Logistics & Machine Learning in Digital Supply Management, Prof. Matthias Klumpp, University of Gottingen
6 lessons of 2.5 hours each (4 ECTS)
Semester I, 2021

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, 2021

Introduction to AI and Machine Learning, Prof. Marco Lippi, Università di Modena e Reggio Emilia
2 lessons of 6 hours each (3 ETCS)
Semester II, 2021

Operations Improvement Methods and Simulation, Prof. David Parker, University of Queensland Australia
2 lessons of 6 hours each (3 ETCS)
Semester II, 2021

Emerging IT Technologies: Blockchains and Autonomous Systems, Dr. Stefano Mariani, Università di Modena e Reggio Emilia
2 lessons of 6 hours each (3 ETCS)
Semester II, 2021