A curriculum for embedded system engineering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The paper presents a curriculum for a 4-year undergraduate program in Embedded System Engineering (ESE). The curriculum was developed using a two-step approach. First, a body of education knowledge for Embedded System Engineering was defined. The body consists of sixteen knowledge areas. Each area is composed of several knowledge units, some designated as core and others as electives. The minimum lecture time for the core of each knowledge area is identified. The Body of Knowledge for Computer Engineering, developed by the IEEE-CS/ACM task force for Computing Curricula, was used as a reference. The education knowledge for ESE then served as the base for the development of the program curriculum. The curriculum has a strong mathematics and basic science base, an in-depth exposure to engineering science and design of systems implemented with digital hardware and software, and coverage of two prominent application areas of embedded systems. The curriculum core takes approximately 3 years of the program; the remaining part is elective.
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.
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 it