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Application of optimization methods to bachelors degree planning.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Application of optimization methods to bachelors degree planning./
作者:	Olabumuyi, Omotayo.
面頁冊數:	1 online resource (246 pages)
附註:	Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.
Contained By:	Dissertation Abstracts International77-06B(E).
標題:	Operations research. -
電子資源:	click for full text (PQDT)
ISBN:	9781339391168

Application of optimization methods to bachelors degree planning.
Olabumuyi, Omotayo.

Application of optimization methods to bachelors degree planning. - 1 online resource (246 pages)

Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.

Thesis (D.E.)--Southern Methodist University, 2015.

Includes bibliographical references

In 2010, SMU adopted a new curriculum, the University Curriculum (UC), to ensure undergraduates satisfy a diverse set of student learning outcomes that enhance the depth and breadth of their undergraduate experience. Given the time required for modification and certification of several courses to satisfy the new student learning outcomes, there were limited opportunities for several cohorts of SMU undergrads to meet all the UC criteria as originally proposed, necessitating exemptions to promote on-time graduation. This study uses optimization techniques to systematically assess the impact of the UC on Management Science, Economics and Electrical Engineering bachelors. It also investigates the impact of UC on Management Science & Economics double-major as well as the 4 + 1 Engineering Masters program. Finally, the model explores exemptions that may be considered to further enhance adoption of UC while mitigating unintended consequences on increased course load and degree completion time. In addition to the UC model, this study also proposes a scheduling model that is optimized to enhance on-time graduation in 4 years. Given that only one in two students at US private institutions graduate in 4-years, the model seeks to address delayed graduation resulting from inefficient scheduling of classes. The model is applied to Management Science undergraduates but can be extended to other departments and aggregated university wide. The scheduling model aids in overall capacity planning and provides insights into scheduling bottlenecks that could be examined to maximize the number of students graduating in 4 years. This praxis quantifies the economic value and cost savings that can be realized by adopting optimization methods to aid in academic planning.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781339391168Subjects--Topical Terms:

573517
Operations research.
Index Terms--Genre/Form:

554714
Electronic books.

Application of optimization methods to bachelors degree planning.
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504 $a Includes bibliographical references
520 $a In 2010, SMU adopted a new curriculum, the University Curriculum (UC), to ensure undergraduates satisfy a diverse set of student learning outcomes that enhance the depth and breadth of their undergraduate experience. Given the time required for modification and certification of several courses to satisfy the new student learning outcomes, there were limited opportunities for several cohorts of SMU undergrads to meet all the UC criteria as originally proposed, necessitating exemptions to promote on-time graduation. This study uses optimization techniques to systematically assess the impact of the UC on Management Science, Economics and Electrical Engineering bachelors. It also investigates the impact of UC on Management Science & Economics double-major as well as the 4 + 1 Engineering Masters program. Finally, the model explores exemptions that may be considered to further enhance adoption of UC while mitigating unintended consequences on increased course load and degree completion time. In addition to the UC model, this study also proposes a scheduling model that is optimized to enhance on-time graduation in 4 years. Given that only one in two students at US private institutions graduate in 4-years, the model seeks to address delayed graduation resulting from inefficient scheduling of classes. The model is applied to Management Science undergraduates but can be extended to other departments and aggregated university wide. The scheduling model aids in overall capacity planning and provides insights into scheduling bottlenecks that could be examined to maximize the number of students graduating in 4 years. This praxis quantifies the economic value and cost savings that can be realized by adopting optimization methods to aid in academic planning.
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