The document describes greedy algorithms and their application to activity selection problems. It shows how a dynamic programming solution can be converted to a greedy algorithm by proving that choosing the activity with the earliest finish time at each step leads to the globally optimal solution. This greedy strategy reduces the number of subproblems and choices needed compared to dynamic programming. The document then extends the approach to solve the maximum attendance problem by greedily selecting activities to maximize total attendance.