University training courses in acoustics and vibration at the University of Sherbrooke
Bibliographic record
Abstract
mettent en commun des expertises complmentaires en acoustique et vibrations dans un centre de recherche universitaire, le Groupe d 'acoustique de l 'Universit de Sherbrooke (GAUS).Cette mise en commun d 'expertises et d 'infrastructures permet d 'offrir un environnement favorable la recherche, au transfert technologique et une formation spcialise en acoustique et vibrations.Au volet de la formation, divers cheminements existent pour des lves de 1er, 2e et 3e cycles en ingnierie qui dsirent se spcialiser dans ce domaine.Cet article prsente les diffrents cheminements de formation en acoustique et vibrations qui sont offerts par le Dpartement de gnie mcanique de l 'Universit de Sherbrooke, ainsi qu'un survol des principales activits pdagogiques en acoustique et vibrations. a b s t r a c tIn the Department of Mechanical Engineering at the Universit de Sherbrooke, several professors and researchers are pooling complementary expertise in acoustics and vibration in a University research center, the Acoustics Group of the Universit de Sherbrooke (GAUS).This pooling of expertise and infrastructure provides an environment conducive to research, technology transfer and specialized training in acoustics and vibration.For the training component, several courses are for undergraduate and graduate students in engineering who wish to specialize in this area.This paper presents the various training courses in acoustics and vibration that are offered by the Department of Mechanical Engineering at the Universit de Sherbrooke, and an overview of the related main teaching activities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".