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Assigning students to academic majors

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  • Saber, Hussein M.
  • Ghosh, Jay B.
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    Abstract

    We address here the problem of assigning undergraduate students to academic major areas at a Middle-Eastern business school, which is quite different from what one usually faces in the West. Our formulation considers the student's preference in the light of his/her performance in certain bellwether courses and various practical constraints in arriving at an initial solution. We present a linear program that maximizes the overall value of the assignments to the students as well as the academic units concerned. We show through a real example how this approach has been implemented as one step in the major-assignment process.

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    Bibliographic Info

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 29 (2001)
    Issue (Month): 6 (December)
    Pages: 513-523

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    Handle: RePEc:eee:jomega:v:29:y:2001:i:6:p:513-523

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    Keywords: Education Modeling Mathematical programming Application;

    References

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    1. Mustafa, A. & Goh, M., 1996. "Multi-criterion models for higher education administration," Omega, Elsevier, vol. 24(2), pages 167-178, April.
    2. Weitz, R. R. & Lakshminarayanan, S., 1997. "An empirical comparison of heuristic and graph theoretic methods for creating maximally diverse groups, VLSI design, and exam scheduling," Omega, Elsevier, vol. 25(4), pages 473-482, August.
    3. Mingers, J. & O'Brien, F. A., 1995. "Creating student groups with similar characteristics: A heuristic approach," Omega, Elsevier, vol. 23(3), pages 313-321, June.
    4. Bhadury, Joyendu & Mighty, E. Joy & Damar, Hario, 2000. "Maximizing workforce diversity in project teams: a network flow approach," Omega, Elsevier, vol. 28(2), pages 143-153, April.
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    Cited by:
    1. Geiger, Martin Josef & Wenger, Wolf, 2010. "On the assignment of students to topics: A Variable Neighborhood Search approach," Socio-Economic Planning Sciences, Elsevier, vol. 44(1), pages 25-34, March.

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