Case D1: Big Data and Design thinking

  • Medium – Advanced
Target Level
  • Tier 1: P3 – P4
  • Tier 2: P5 – P6

To use life-examples to demonstrate the reason of using data, what is data, how data is recorded and the power of prediction from data analysis. Students will participate in hands-on activities to experience important operations of big data – Clustering, Classifying and Anomaly Detection, which will help them to understand the job of data scientists.

The activity consists of taught class and hands-on workshops to introduce problem-solving skills from Design Thinking and Data analysis module. This will help strengthen students’ problem solving skills and learn how to use big data to solve life problems.

  • Props like common snacks / stationaries / foam board / card
  • N/A
Cloud Services
  • N/A
Major Activities
  1. Theoretical session covering:
    1. Discovering problems
    2. Design Thinking
    3. Data
    4. Types of Data
  2. Practical session covering:
    1. Data Collection
    2. Data Clustering
    3. Data Classification
    4. Data Visualization
    5. Data Analysis
  3. Big Data Project (Group)
Learning Objective(s)
  • Using design thinking concept to analyse problems.
  • Able to use data analysis to tackle problems and solves them.
  • Tier 1:
    - Theoretical session: 4 hours
    - Practical sessions: 4 hours
  • Tier 2:
    - Theoretical session: 4 hours
    - Practical sessions: 6 hours
Target No. of Students
  • About 10 – 30 students per workshop