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Session: Problem Scoping
                                                                 Activity: Brainstorm around the theme provided and set a goal for the AI project.
                                                                 ● Discuss various topics within the given theme and select one.
                                   Learn problem scoping and ways to set goals
                                   for an AI project.            ●  Fill in the 4Ws problem canvas and a problem statement to learn more about
                                                                   the problem identified in the community/ society
                                                                 ●  List down/ Draw a mind map of problems related to the selected topic and
                                                                   choose one problem to be the goal for the project.

                                                                 ● Activity: To set actions around the goal.
                                   Identify  stakeholders  involved  in  the
                                   problem scoped.               ● List down the stakeholders involved in the problem.
                                   Brainstorm  on  the  ethical  issues  involved  ● Search on the current actions taken to solve this problem.
                                   around the problem selected.  ● Think around the ethics involved in the goal of your project.

                                                                 Activity: Data and Analysis
                                                                 ● What are the data features needed?
                                                                 ● How will the features collected affect the problem?
                                   Understand the iterative nature of problem   ● Where can you get the data?
                                   scoping for in the AI project cycle.
                  AI REFLECTION, PROJECT CYCLE AND ETHICS
                                   Foresee the kind of data required and the   ● How frequent do you have to collect the data?
                                   kind of analysis to be done.  ● What happens if you don’t have enough data?
                                                                 ● What kind of analysis needs to be done?
                                                                 ● How will it be validated?
                                                                 ● How does the analysis inform the action?

                                                                 Presentation: Presenting the goal, actions and data.
                                   Share what the students have discussed so
                                   far.                          Teamwork Activity:
                                                                 ● Brainstorming solutions for the problem statement.

                                                                 Session: Data Acquisition
                                                                 Activity: Introduction to data and its types.
                                                                 ●  Students work around the scenarios given to them and think of ways to acquire
                                   Identify data requirements and find reliable   data.
                                   sources to obtain relevant data.  Activity: Data Features
                                                                 ● Identifying the possible data features affecting the problem.
                                                                 Activity: System Maps
                                                                 ● Creating system maps considering data features identified.
                                                                 Session: Data Exploration/ Data Visualisation
                                   To  understand  the  purpose  of  Data   ● Need of visualising data
                                   Visualisation                 ● Ways to visualise data using various types of graphical tools.
                                                                 Quiz Time

                                                                 Recommended Activities: Let’s use Graphical Tools
                                                                 ●  Selecting an appropriate graphical format and presenting the graph sketched.
                                                                 ● Understanding graphs using https://datavizcatalogue.com/
                                   Use various  types of  graphs  to  visualise   ● Listing of newly learnt data visualization techniques.
                                   acquired data.
                                                                 ●  Top 10 Song Prediction: Identify the data features, collect the data and convert
                                                                  into graphical representation.
                                                                 ●  Collect and store data in a spreadsheet and create some graphical representations
                                                                  to understand the data effectively.


                                   Understand  modelling  (Rule-based  &   Session: Modelling
                                   Learning-based)               ●  Introduction to modelling and types of models (Rule-based & Learning-based)







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