Page 12 - Ai_417_V3.0_C9_Flipbook
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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)
(x)

