  In management education programmes today, students face a difficult time in
choosing electives as the number of electives available are many. As the range
and diversity of different elective courses available for selection have
increased, course recommendation systems that help students in making choices
about courses have become more relevant. In this paper we extend the concept of
collaborative filtering approach to develop a course recommendation system. The
proposed approach provides student an accurate prediction of the grade they may
get if they choose a particular course, which will be helpful when they decide
on selecting elective courses, as grade is an important parameter for a student
while deciding on an elective course. We experimentally evaluate the
collaborative filtering approach on a real life data set and show that the
proposed system is effective in terms of accuracy.
