Electronic Theses and Dissertations

Date

2022

Document Type

Thesis

Degree Name

Master of Science

Department

Earth Sciences

Committee Chair

Esra Ozdenerol

Committee Member

Anzhelika Antipova

Committee Member

Hsiang Kung

Abstract

This thesis is a feasibility study that addresses the need for cross-training from GIS perspective into fields of planning, architecture, engineering, the earth sciences and beyond to create a more seamless transition for students into the work force. This study utilizes Python, AutoCAD, and Feature Manipulation Engine (FME) to develop a semester long course at the undergraduate level or an interdisciplinary cross-training workshop series. A survey is conducted to identify the knowledge and skills needed and then cross-referencing to a list with an inventory of current student and GIS employees’ proficiencies to reveal gaps. There is a great amount of unfamiliarity with these products, although most respondents estimated a time saving with proficiency. 93% of survey respondents stated that they would be more likely to hire someone with one or more of these skills on a resume. The outcome of this thesis is not only the development of a 15-week long cross-training course with assignments, quizzes, and projects, but also the evaluation of the use of these software products in both academic and industry settings

Comments

Data is provided by the student

Library Comment

Dissertation or thesis originally submitted to ProQuest.

Notes

Open Access

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