GENERAL COURSE SCHEDULING APPLICATION


  • Department: Computer Science
  • Project ID: CPU2002
  • Access Fee: ₦5,000
  • Pages: 51 Pages
  • Reference: YES
  • Format: Microsoft Word
  • Views: 401
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Abstract Heuristic algorithms have been known to be the most common and effective methods to solving the classical course scheduling problem which has been found to be a nondeterministic polynomial time hard problem. Many software systems have been built on these algorithms to provide a standard and working solution. This paper seeks to look at the gaps of these solutions and propose a newer one which would potentially simplify the process of course scheduling and provide an even more effective solution within the scope of Ghana. This paper provides a course scheduling web application which implements a genetic algorithm as a solution

  • Department: Computer Science
  • Project ID: CPU2002
  • Access Fee: ₦5,000
  • Pages: 51 Pages
  • Reference: YES
  • Format: Microsoft Word
  • Views: 401
Get this Project Materials
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