# EDU-SWE-201 — learner workbook

Course: Software Engineering Lecturer Practice
Version: 1.0.0 | Public pilot | 1 November 2026

## Before starting

Record your interpreter/compiler or editor version, access needs and prior experience. Use fictional data. This file is a local workbook, not an LMS submission or grade record.

## Evidence map

| Outcome | Artifact | Module | Acceptance |
|---|---|---|---|
| LO-01 | Boundary-test table and corrected booking function | Module 1 | Module lab acceptance and capstone rubric |
| LO-02 | Design decision record and operation-count comparison | Module 2 | Module lab acceptance and capstone rubric |
| LO-03 | Reproducible image-filter worksheet with border policy | Module 3 | Module lab acceptance and capstone rubric |
| LO-04 | A 20-minute image-processing lesson, test suite and moderated marking guide | Module 4 | Capstone rubric |

## Repeat for each module

- My prediction and its reasoning:
- Command or editorial action performed:
- Actual result and environment/source version:
- Difference from the expected result:
- Controlled defect and how it was detected:
- Correction and recheck:
- Evidence filename and private storage location:
- Assistance received and fresh transfer evidence:
- One teaching misconception and feedback response:

## Capstone brief

Design and teach a 20-minute lesson that takes a 5 by 5 grayscale image through a documented filter. Learners must predict the centre value, run the implementation and diagnose a deliberate border-policy defect. Submit a requirements-to-test matrix, an accessible learner handout and a five-case test suite.

## Self-review

Score each criterion 0–4: correctness (30%), role performance (25%), verification (20%), accessibility (15%), handover (10%). Weighted score = sum(weight × level / 4). Pilot threshold: 75/100, correctness and verification at least level 3, critical conditions resolved. An authorized assessor must confirm formal results.

Critical condition: Unlicensed source images, private learner data or untested numerical claims require correction before assessment.

## Handover and cleanup

Confirm the assessor and approved private submission channel before sending evidence. Remove faulty release copies, temporary files and unnecessary personal information. Record unresolved issues, the next action and your review date.