Adaptable sequence and pacing
The supplied course sequence has 14 teaching modules. Use the institution's actual calendar and Canvas deadlines. Preparation belongs inside the planned course workload: the syllabus permits students with no programming experience. Python Foundation is recommended learning support, not a newly imposed prerequisite course or a replacement for any institutionally assigned Python resource.
| Module period | Core focus and evidence | Project connection |
|---|---|---|
| 1 | Readiness, Python Foundation routing, decision framing, first saved output | Begin problem/source proposal |
| 2 | Complete needed Python preparation, then dictionaries/files/packages bridge | Identify observation and inputs |
| 3 | Reconcile cleaned/rejected network records | Data contract and provenance |
| 4 | Construct labeled charts with numeric equivalents | Exploration and data quality |
| 5 | Forecast availability, persistence and linear pipeline | Baselines and split design |
| 6 | Construct classifier and defend validation threshold | Candidate models |
| 7 | Construct scaled clustering and explain paradigms | Method suitability |
| 8 | Numerical neuron, tensor shapes, TensorFlow baseline comparison | Bounded model experiment |
| 9 | Tokens, masked pooling, lexical/neural comparison | Error analysis and representations |
| 10 | Matched local LLM comparison, prompt design and literature critique | Task-fit and cost judgment |
| 11 | Adapter shapes, real updates, loss versus generated labels | Optional task-appropriate depth |
| 12 | Checked inference, both app forms, monitoring/rollback | Demonstration and deployment tradeoffs |
| 13 | Stakeholders, group denominators and uncertainty | Ethical recommendation |
| 14 | Bounded tool traces and synthesis | Existing final report/presentation |
Plan workload explicitly
Assign selected reading sections and one bounded construction/practice per period. Include preparation, installation, download, independent work and current Canvas assignments in total workload. Do not add all optional extensions on top. Python Foundation estimates about 12 guided hours plus practice; place needed sections early with support and let prepared students demonstrate readiness instead.
For a 16-week offering, insert consolidation after Module 7 and a final synthesis/support period; do not silently move official deadlines. For a shorter calendar, negotiate scope with the course owner rather than rushing every framework concept.
Asynchronous teaching
Provide a prediction prompt, written worked steps, runnable code, a required independent change and explained feedback. Publish help contact, response expectations, recovery arrangements and an equivalent effective interface. Pair discussion can be replaced with the documented solo reasoning route. No video is required by this OER; institutionally assigned presentations retain their actual requirements and accommodations.
Advanced depth and consolidation
Use predeclared development robustness, representation, calibration or resource experiments. Ask for a defended tradeoff, not merely a larger model. Revisit ethical questions at framing, data collection and evaluation before the dedicated audit module. Use the project companion and pilot instrument to validate time and transfer. Estimated module times remain provisional until observed with the intended learners.