Curriculum

Curriculum is increasingly seen by stakeholders as a dynamic framework guiding the teaching and learning processes, and as a steering mechanism for quality. The SEnDIng curicullum combines technical knowledge and skills at Data Science and IoT domains with transversal skills and competences. The key characteristics of SEnDIng curriculum are:

  • Multi-disciplinarily. The modules developed cover three disciplines: Data Science, Internet of Things and Transversal Skills.
  • Modular. For each discipline, the curriculum is separated in educational modules. Each module is further divided in training units at three levels of proficiency: Introduction, Core and Advanced. This permits the learners to create their own learning paths according to their needs.
  • Learning outcomes-oriented. Based on a macro level learning outcomes design, the learning outcomes of each training unit have been defined. Learning outcomes oriented curriculum is an effective way to avoid potential mismatches between academia and industry, and furthermore to promote active learning and inclusive teaching.

Data Science online courses

  • Module 1: Introduction to Data Science (DS-EM1)
  • Module 2: Python for Data Science (DS-EM2)
    • Python for Data Science – Introduction (DS-EM2-I)
    • Python for Data Science – Core (DS-EM2-C)
    • Python for Data Science - Advanced (DS-EM2-A)
  • Module 3: Statistics for Data Science (DS-EM3)
    • Statistics for Data Science – Introduction (DS-EM3-I)
    • Statistics for Data Science - Core (DS-EM3-C)
    • Statistics for Data Science – Advanced (DS-EM3-A)
  • Module 4: Storing and retrieving data (DS-EM4)
    • Storing and retrieving data – Introduction (DS-EM4-I)
    • Storing and retrieving data - Core (DS-EM4-C)
    • Storing and retrieving data – Advanced (DS-EM4-A)
  • Module 5: Applied machine learning (DS-EM5)
    • Applied machine learning – Introduction (DS-EM5-I)
    • Applied machine learning - Core (DS-EM5-C)
    • Applied machine learning – Advanced (DS-EM5-A)
  • Module 6: Data Visualization (DS-EM6)
    • Data Visualization – Introduction (DS-EM6-I)
    • Data Visualization - Core (DS-EM6-C)
    • Data Visualization – Advanced (DS-EM6-A)

IoT online courses

  • Module 1: Introduction to IoT (IoT-EM1)
  • Module 2: IoT Devices (IoT-EM2)
    • IoT Devices – Introduction (IoT -EM2-I)
    • IoT Devices – Core (IoT -EM2-C)
    • IoT Devices – Advanced (IoT-EM2-A)
  • Module 3: IoT Communication Technologies (IoT-EM3)
    • IoT Communication technologies – Introduction (IoT -EM3-I)
    • IoT Communication technologies – Core (IoT -EM3-C)
    • IoT Communication technologies – Advanced (IoT-EM3-A)
  • Module 4: Architectural Design and Applications in IoT (IoT-EM4)
    • Architectural Design and Applications in IoT – Introduction (IoT-EM4-I)
    • Architectural Design and Applications in IoT - Core (IoT-EM4-C)
    • Architectural Design and Applications in IoT – Advanced (IoT-EM4-A)
  • Module 5: IoT Security and Privacy (IoT-EM5)
    • IoT Security and Privacy – Introduction (IoT-EM5-I)
    • IoT Security and Privacy - Core (IoT-EM5-C)
    • IoT Security and Privacy – Advanced (IoT-EM5-A)
  • Module 6: IoT Business Value (IoT-EM6)
    • IoT Business Value – Introduction (IoT-EM6-I)
    • IoT Business Value - Core (IoT-EM6-C)
    • IoT Business Value – Advanced (IoT-EM6-A)

Transversal skills face to face courses

  • Module 1: Effective communication and presentation (TS-EM1)
  • Module 2: Change management (TS-EM2)
  • Module 3: Team working (TS-EM3)
  • Module 4: Goal setting (TS-EM4)
  • Module 5: Creative thinking (TS-EM5)