THE INTEGRATED CURRICULUM OF UBC’S MASTER OF ENGINEERING LEADERSHIP PROGRAM IN CLEAN ENERGY ENGINEERING
Bibliographic record
Abstract
A new professional degree, Master of Engineering Leadership (MEL) has been introduced at the University of British Columbia. This collaborative effort between the Faculty of Applied Science and Sauder School of Business provides an innovative, integrated curriculum tailored to accelerate experienced engineers and early career professionals toward effective, sectorrelevant leadership roles. This integrated curriculum includes a rigorous engineering content as well as project management, communication and business development modules.One area of specialisation, the MEL in Clean Energy Engineering (CEEN), provides advanced training across the energy industry value-chain: from sustainable energy generation and conversion technologies, to distribution,storage and management, smart distribution networks and energy policy. The program places students in an active learner’s position and challenges them to critical thinking about topics related to energy conservation andefficiency, energy and environment, and social impact.This paper will provide an overview of the curriculum and discuss different options for integration of course contents. It will discuss the impact of the program on the community, report on student reflections and feedbackfrom industrial partners in the energy sector.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".