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Record W1837422675 · doi:10.24908/pceea.v0i0.3637

New Venture Design – Interdisciplinary Capstone Projects at UBC

2011· article· en· W1837422675 on OpenAlexafffundvenue
Philippe Kruchten, Peter A. Lawrence, Darren W. Dahl, Paul Cubbon

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCapstoneCapstone courseSyllabusBusiness planEngineering managementProduct (mathematics)CreativityProcess (computing)EntrepreneurshipBusinessNew product developmentPlan (archaeology)Venture capitalEngineeringKnowledge managementProcess managementManagementMarketingComputer scienceSociologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

New Venture Design is an interdisciplinary project course across Engineering and Business at UBC,whose primary goal is to provide students of both faculties with knowledge and practical experience related to the formation of an entrepreneurial venture based on the development of a new product or process. Working in teams of 6 students (3 engineering students and 3 business students), the end-goal in the course is to produce a viable product prototype (the primary responsibility of the engineering students) and the necessary business plan (the primary responsibility of the business students) to ensure its success in the marketplace. This course is a combination of both lecture instruction (on creativity, business plans, patents, prototyping, fabrication, funding, tax credits, etc.) and dedicated lab-time in which student teams will advance their new venture concept toward market introduction. The teams enter many business plans competitions in the province, across North America (and beyond). Some teams go much further and file provisional patents, or incorporate a company. Starting in 2003, the course has now run for 8 years; several of the project teams have actually started a company based on their idea, or have created other new ventures. This paper summarizes the course, its motivation, details the current framework and syllabus, and reflects on lessons learned.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.773

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 head0.012
GPT teacher head0.192
Teacher spread0.179 · 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 designNot applicable
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

Citations2
Published2011
Admission routes3
Has abstractyes

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