• Feng-Shuo Yu
• Tzu-Chia Wang

In this research, we study the faculty-course assignment problem using Genetic Algorithm. Our research focuses on how to make balance in two perspectives: teaching and learning. For teaching, we study how to make the courses assignment fair based on several constraints; as for learning, we study how to assign qualified teachers to related courses in order to improve students’ learning satisfaction. This research is bases on past study and uses weighted values on several controlling variables. The reason for adopting weighted values on controlling variables is that different departments can obtain a satisfied courses assignment result according to their departmental courses assignment requirements. The contributions of this study not only provide fairness for courses assignment, but also a system that is flexible to meet different requirements need.

Genetic algorithm, Faculty course assignment, Learning satisfaction

"Solving the Faculty-Course Assignment Problem using Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.417-424, November-2018, Available :http://www.jetir.org/papers/JETIR1811565.pdf

"Solving the Faculty-Course Assignment Problem using Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp417-424, November-2018, Available at : http://www.jetir.org/papers/JETIR1811565.pdf