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SUB-UNIT     LEARNING OUTCOMES                 SESSION / ACTIVITY / PRACTICAL
                        l  Determine  the best methods to  Session: Acquiring Data, Processing, and Interpreting Data
                        acquire data.                     l  Types of data
                        l  Classify different types of data and     l  Data Acquisition/Acquiring Data
                        enlist different methodologies to     l  Best Practices for Acquiring Data
         Acquiring      acquire it.
         Data,          Define   and    describe   data    l  Features of data and Data Preprocessing
         Processing,     l  interpretation.               l  Data Processing and Data Interpretation
         and                                              l  Types of Data Interpretation
         Interpreting     l  Enlist  and  explain  the  different     l  Importance of Data Interpretation
         Data           methods of data interpretation.
                        l  Recognize the types of  data  Recommended Activities:
                        interpretation.                   l  Trend analysis
                        l  Realize  the importance of data     l  Visualize and Interpret Data
                        interpretation
                        l  Recognize the importance of  data  Session: Project Interactive Data Dashboard & Presentation
                        visualization                     l  Data visualization Using Tableau
         Project
         Interactive     l  Discover different methods of data   Reference Links
         Data           visualization                     l  https://public.tableau.com/en-us/s/download
         Dashboard                                        l  https://www.datawrapper.de/
         &                                              Video Links:
         Presentation
                                                          l  https://www.youtube.com/watch?v=NLCzpPRCc7U
                                                          l  https://www.youtube.com/watch?v=_M8BnosAD78

        Unit 3: Math For AI (Statistics & Probability)

         SUB-UNIT     LEARNING OUTCOMES                  SESSION / ACTIVITY / PRACTICAL
                        Analyzing the data in the form   Session: Importance of Math for AI
                      of numbers/images and find the       l  Finding Patterns in Numbers and images.
                      relation/pattern between them.       l  Uses of Math -
         Importance   Use of Math in AI.                    Ø  Statistics              Ø  Linear Algebra
         of Math for                                        Ø  Probability             Ø  Calculus
         AI           Number Patterns                    Activity:
                      Picture Analogy                      l  observe the number pattern and find the missing number.
                                                           l  To find connections between sets of images and use that to solve
                                                           problems,
                      Understand the concept of          Session:
                      Statistics in real life.             l  Definition of Statistics
                                                           l  Applications
                                                            Ø  Disaster Management            Ø  Sports
                                                            Ø  Diseases Prediction                 Ø  Weather Forecast
                      Application in various real life scenarios Activity: Uses of Statistics in daily life
                                                           l  Students will explore the applications of statistics in real life .They
                                                           collect data and can apply various statistical measures to analyze
                                                           the data.
         Statistics                                         Activity: Car Spotting and Tabulating
                                                            Purpose: To implement the concept of data collection , analysis
                                                           and interpretation.
                                                         Activity Introduction:
                                                           l  In  this  activity,  Students  will  be  engaged  in  data  collection  and
                                                           tabulation.
                                                           l  Data collection plays a key role in Artificial Intelligence as it forms
                                                           the basis of statistics and interpretation by AI.
                                                           l  This activity will also require students to answer a set of questions
                                                           based on the recorded data.
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