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Record W2614393890 · doi:10.18260/1-2--5848

The Professional Science Master’s (Psm) Degree In Engineering Technology

2020· article· en· W2614393890 on OpenAlexaff
Hazem Tawfik, K. Shahrabi, Beverly K. Kahn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGraduate degreeDegree programProfessional degreeDisciplineProfessional developmentEngineering managementEngineering ethicsComputer scienceEngineeringBusinessMedical educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract The Professional Science Master’s (PSM) Degree in Engineering Technology Abstract The Professional Science Master’s (PSM) Degree in Engineering Technology (ET) is a new degree option created to meet growing industry needs for technologists with broad background and experience to provide rewarding career and academic opportunities for undergraduates in science, technology, business and health majors. According to the Council of Graduate Schools (CGS), this program involves not only advanced disciplinary study in engineering and technology, but also an appropriate array of professional skill-development activities to produce graduates highly valued by employers and fully prepared to progress toward leadership roles. These additional interdisciplinary professional skills include legal, communication, marketing, finance, and business training which are in demand by industry to complement the students’ engineering technology expertise. The nontechnical courses are often developed in collaboration with appropriate academic departments outside engineering technologies and are often taught by qualified adjunct faculty from the appropriate areas of industry. The main objective of this proposed program is to graduate high caliber technologists with multiple talents who can effectively participate and directly contribute to the improvement of the U.S. industrial competitiveness in the current global economy. This paper portrays an actual program model that describes the method of tailoring this new master’s degree program to respond to current industrial needs, both locally and nationally. Introduction As the global economy continues to develop and evolve into a competitive world with new requirements for workforce talent and knowledge has resulted in considerable challenge to the U.S. technological leadership in the current world economy and the nation needs to respond to these global changes1. Today’s national and regional high-tech based industries need post graduates who are highly trained and well educated to advance the current state-of-the-art technology, while simultaneously possessing advanced business, communication, and legal negotiation skills. Traditional post graduate education produced scientists, engineers and technologists who are only familiar with their own field of study and focused on their own discipline. Industrial competitiveness is critical to the region’s economic growth that has resulted in a crucial demand for postgraduates who have cross-disciplinary scientific expertise in advanced technology, business, communication and social skills to effectively manage high tech projects2,3. This has kindled the need for the development of a Professional Science Master (PSM) Degree program in Advanced Engineering Technologies-Plus4. This new PSM program will represent an effective answer to the problem and provide postgraduates with a chance to work productively

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.221
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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