Domain 2 Skills 4.0 Learning Framework : Software Engineering & Big Data analytics
Partners leaders Chengdu University of Information Technology and Chengdu University 
The Learning framework for the second domain, “Software Engineering and Big data Analytics”, is composed by the four following Skill Sets (SkS): :
- SkS-D2-1: Big Data Science Analytics
- SkS-D2-2: Big DataSystem Management
- SkS-D2-3: Cloud Computing System
- SkS-D2-4: AI for BigData Analysis
18 Modules identified in this Framework
6 New Modules developed for Domain 2 in Software Engineering and Big Data Analytics
- Introduction to Industrial Revolution 4.0 (see pilot 1) (Beginner)
- Principle and application of Big Data Technology (Beginner)
- Comprehensive Training of Artificial Intelligence (Intermediate)
- Critical Thinking Oriented Big Data (Intermediate)
- Smart Decision Making with Big Data (Expert)
- Data Mining Ideology and Technology (Expert)
The review and validation of new modules content was carried out by at least 1 internal and 1 external expert. 10 experts were involved: 5 internal and 5 external
Training of the Trainers Sessions
Software Engineering & Bigdata Analytics, 7 training sessions: 31 Trainers from different universities trained
| Module Title | Number of participants |
| Data Mining Ideology and Technology | 12 |
| Critical Thinking Oriented BigData | 12 |
| Principle and Application of BigData Technology | 7 |
| Comprehensive Training of Artificial Intelligence | 20 |
| Smart Decision Making with BigData | 10 |
Equipements used during the training sessions
Training of the Students Sessions
5 Sessions of training: 142 students trained from CDU and CUIT universities
| Module Title | Number of participants |
| Data Mining Ideology and Technology | 74 |
| Critical Thinking Oriented BigData | 74 |
| Principle and Application of BigData Technology | 40 |
| Comprehensive Training of Artificial Intelligence | 10 |
| Smart Decision Making with BigData | 10 |
Software engineering and Big data analytics: Example of resource
- Learning Material Resources