Electrical Engineering Design Course at Memorial University of Newfoundland
Bibliographic record
Abstract
The Engi. 5800 Electrical Engineering Design course was introduced in 2008 to the electrical engineering curriculum of Memorial University of Newfoundland (MUN). This compulsory course is offered in term 5 and typical enrolment is about 25 to 30 students. The nature of this course is fundamentally different from other lecture-based courses taught at the Faculty of Engineering. In this course, students work in groups on two design projects at a time. One design project i.e. emergency light design is a guided design project while the other is a student led design project. Design projects require students to follow a hierarchy of design process which includes: the general product definition, specifications and requirements, functional block diagrams, definition of specification of functional blocks for circuit level synthesis and implementation, system integration, simulation or modeling, testing and verification. All projects are a significant technical challenge and require students to apply their knowledge of electrical engineering learned through courses in the electrical engineering program. The course is designed to provide a meaningful design experience and encourage confidence building in students. This paper describes course details, organization, design methodology, types of projects and course outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.248 | 0.054 |
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 source (direct Gemma or distilled Codex), 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".