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6.21 Validation and Verification



               6.21       Validation and Verification


                   ˆ   erification: Did we build the system correctly?                                                         V

                   ˆ   alidation: Did we build the correct system?                                                             V

               Both are critical in:

                   ˆ   oftware engineering                                                                                     S
                   ˆ   ystems design                                                                                           S

                   ˆ   cientific computing                                                                                     S



               6.22       Ethical Considerations in Modern Scientific Re-


                          search

                   Modern scientific methodology requires ethical responsibility, especially in computing

               fields such as:

                   ˆ   rtificial intelligence                                                                                  A

                   ˆ   ata mining                                                                                              D

                   ˆ   urveillance systems                                                                                     S
               Ethical principles include:

                   ˆ   ata privacy                                                                                             D

                   ˆ   ransparency                                                                                             T
                   ˆ   airness                                                                                                 F

                   ˆ   ccountability                                                                                           A



               6.23       Scientific Methodology in Data Science


                   In data science, the scientific method is applied through:


                  1. Problem definition


                  2. Data collection

                  3. Data cleaning


                  4. Model building


                  5. Evaluation




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