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Enregistrement W2516013049

Integrating Business Concepts and Entrepreneurship into an Undergraduate Engineering Curriculum Using Case Studies

2011· article· en· W2516013049 sur OpenAlexaboutno aff
David Effa, Oscar Nespoli, Steve Lambert

Notice bibliographique

RevueDS 69: Proceedings of E&PDE 2011, the 13th International Conference on Engineering and Product Design Education, London, UK, 08.-09.09.2011 · 2011
Typearticle
Langueen
DomaineEngineering
ThématiqueBiomedical and Engineering Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCurriculumEntrepreneurshipEngineering educationCreativityReputationWork (physics)Intellectual propertyEngineering ethicsEngineeringEngineering managementManagementSociologyPedagogyComputer sciencePolitical scienceMechanical engineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The University of Waterloo, located at the heart of Canada's Technology Triangle, has a national reputation as the most innovative University in Canada, largely as a result of the success of its co-operative education program and its management of intellectual property. The University lays no claim to intellectual property generated by faculty, thus encouraging innovation. Waterloo started the first Canadian co-operative education program, engineering is 100% co-op, all programs offer a co-operative education option, and as a result Waterloo has one of the largest co-operative education programs in the world. Most engineering departments have a strong but conventional engineering curriculum, focussed on engineering science with a sprinkling of engineering design. All engineering programs require at least one course in engineering economics, and there are innovative programs to support students who have an entrepreneurial vision: a residence dedicated to students who wish to develop entrepreneurial ideas (VeloCity), a Master of Business, Entrepreneurship and Technology (MBET) program, and Enterprise Co-op for students who wish to spend a work term starting their own business. However, more can be done to provide a business foundation for all students, and to motivate some students to develop their vision, to promote creativity, and to provide them with the necessary skills to realise their vision. Engineering design cases are a tool to allow students to see the complexity of engineering practice, to gain experience and develop the skills to deal with this complexity, and to make connections between various topics in their undergraduate curriculum. They are an ideal mechanism to emphasize the importance of business issues in engineering design, and to promote the creative solutions to problems. To be effective, students must be exposed to a wide range of cases, covering a wide range of concepts, in a wide range of contexts. This requires a sustainable supply of diverse cases. The Waterloo Cases in Design Engineering (WCDE) group at Waterloo has been established to generate engineering design case studies, primarily from our own students’ experiences on co-op work terms, and has recently begun generating these cases at a minimum rate of 30 per year. This offers a unique opportunity to implement these cases pervasively throughout the curriculum. WCDE cases range from very analytical to highly creative, and the context varies from large multinational corporations to start-ups. Since the cases are derived from our own student experiences, they are inherently motivating. Results to date will be summarized, with a focus on building an appreciation of the business context for engineering design using cases which demonstrate engineering science concepts, and promoting creativity in engineering design.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,744
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,049
Tête enseignante GPT0,282
Écart entre enseignants0,233 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2011
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueDS 69: Proceedings of E&PDE 2011, the 13th International Conference on Engineering and Product Design Education, London, UK, 08.-09.09.2011Même sujetBiomedical and Engineering EducationTravaux en français237 207