Given the project of automating faculty timetables for a university with multiple sub-majors and limited labs and halls, what effective strategies or suitable methods can be employed to streamline the process and ensure efficient resource allocation?
First collate all the data of each faculty and multiple sub majors into different datasets and then write a combination to first assign each faculty with each sub majors needed classes and then repeat same until all the days are covered. And you can use random function to get a random faculty always so that the time table changes and then can send an email to all with their timings
At the first stage we would start with faculty of computing which contains majors like IT, CS and more. knowing that what is the best way for us to do it?