CPSC 1710 · Fall 2026

Labs

Assignments, starter files, and examples from our in-class workshops. Begin with the numbered lab your instructor names.

Lab 01 · completed

Meet a deep-learning notebook

Use Google Colab, train and inspect a pet classifier, and compare several kinds of machine-learning tasks.

Open Lab 1 → Lab 02 · completed

From one pixel to your classifier

Explore a tiny classifier, then direct Codex to build a small, inspectable classification experiment of your own.

Open Lab 2 → Lab 03 · completed

MNIST, and what the code is doing

Regression, overfitting and decision boundaries, plus optional worksheets and a Python warm-up to help you read the code AI writes.

Open Lab 3 → Lab 04 · continues in Lab 5

Your first model API calls

Use a course OpenRouter key safely, inspect a response, compare models, and turn text into embeddings.

Open Lab 4 → Lab 05 · current

Read a GPT, write pseudocode

Tour a small GPT with a guide, judge six pieces of pseudocode, and run last week's API calls again.

Open Lab 5 → Guide · for Codex or Claude Code

One folder for the whole course

Keep every handout, lab, homework and note in one folder that your AI coding agent can read. Includes grill-me, a practice partner for the midterm.

Open the guide →