Shyfte Main KPI’s
For the four domains defined in the project, a total of 35 modules have been developed.
Domain 1: Industrial Engineering and Business Management
- 6 modules developed for Industrial Engineering
- 5 modules developed for Business Management
Domain 2: Software Engineering and Big data analysis
- 5 Modules developed for SE & Bigdata analysis
Domain 3: Wireless networks analytics
- 7 Modules developed for wireless networks analytics
Domain 4: Artificial Intelligence
- 12 Modules developed for Artificial Intelligence
Training of Trainers Sessions
During the project, for the four domains, 37 Training for the Trainers sessions were organized. They allowed the training of 214 trainers.
. Domain 1: CMU 49 trainers ; KU 25 trainers
. Domain 2: 31 trainers from CDU and CUIT
. Domain 3: UPM 56 trainers
. Domain 4: UTM 53 trainers
Among these trainers, 24 trainers from partner universities have been trained.
Among these trainers, 20 persons from different companies have been trained.
Training of Students Sessions
During the project, for the four domains, 28 Training of Students sessions were organized. They allowed the training of 400 students.
. Domain 1: 137 students from CMU and KU attended the different courses (94 CMU & 43 KU)
. Domain 2: 144 students from CDU and CUIT attended the courses (120 CUIT & 24 CDU)
. Domain 3: 69 students from UPM attended the different courses
. Domain 4: 50 students from UTM attended the different courses
Scientific events and publications
During the 3 years of the project, 2019 to 2022, we presented our work in about 20 international conferences.
We organized a special session in the international conference “IEEE – 15th China-Europe International Symposium on Software Engineering Education” which was held in 2019 in Lisbon-Caparica, Portugal. This session focused on “Skills for Industry 4.0” and presented 5 papers.
We also published 5 papers in international scientific journals to present the research work conducted in the Shyfte project.