AI course map
16 topic sessions, from learning tasks to a final project.
Suggested exercise
Sketch the learning goal and deliverable for one session.
TEACHING / 2026.11.03
From a topic to a practical question
AI applications, data processing and small-screen interfaces. A reading map of six uploaded course texts, with suggested exercises and links to public engineering work.
01 / Choose a question
Read the source text ↗
AI application workflows
Tool selection, prompts, image generation, slides and agents.
Suggested exercise
Compare an initial output with a human revision and cite the sources used.
Big-data fundamentals
Data characteristics, processing layers and computing frameworks.
Suggested exercise
Map collection, storage, computation and presentation for one task.
How Spark runs
Driver, executors, RDDs, lazy execution and shuffle.
Suggested exercise
Explain which operation triggers a job; check stage boundaries in the Spark UI.
Small-screen interface design
Information hierarchy, touch feedback, message handling and refresh.
Suggested exercise
Draw one screen and describe its empty, waiting and failure states.
Manufacturing case reading
Compare discrete and process manufacturing through three industry cases.
Suggested exercise
Separate cited facts from design interpretations before using any outcome numbers.
These are course reference texts. The session map is a planning reference; the repository does not contain a Spark application or watch firmware.
02 / Connect reading with implementation
Review an AI output
Try FieldLens: load a synthetic sample, save a record, add a follow-up task, then export a full backup. Compare duplicate and conflict handling on import.
Try FieldLens ↗The 18 existing frontend logic tests passed again on 3 November at source version 3ab5e7f. This checks record logic, not model accuracy.
Read a cross-platform workflow
Follow Shuyang Home’s work center from filtered lists to the original business action. Explain why reading a notification is separate from finishing the task.
Read the v1.6.0 case ↗The case links to source and recorded acceptance. This update reviewed the implementation; it did not rerun the full application suite.
03 / Keep materials usable
The new organization notebook records inventory, content-hash comparison, reversible archiving and source attribution. Its skills are links to third-party projects.
- Inventory before moving
- Compare full content hashes
- Preview destinations and conflicts
- Keep a recovery log and verify links
04 / Sources and next checks
The six texts were uploaded on 3 November. Some draw on textbooks and platform or industry material. Company figures and platform claims have not been individually verified; they are not presented here as personal project outcomes.
The exercises above are suggestions. They do not establish completed classroom experiments, learning gains or new research results. Source notes and third-party rights remain attached to the repository materials.