INFO 4340 Analytics and AI
Syllabus Schedule Guides Assignments

Guides

Setup references and technical resources for the course

These guides support the technical work in INFO 4340. They’re meant to be bookmarked and returned to, not read once and forgotten!

Developer setup guide
Install VS Code, learn CLI basics, and set up Claude Code and Codex CLI side by side. Mac and Windows covered.
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AI use log guide
What an AI use log is, why it matters, what to include, and three format options with examples. Required for most weekly deliverables.
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Git and GitHub 101
Version control basics, including the four commands you need, daily workflow, commit messages, and common fixes.
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Claude API for analysts
Message anatomy, system prompts, structured JSON output, error handling, batch patterns, cost tracking, and key security.
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Python for analysts
pandas, statsmodels, sklearn, networkx, and Anthropic API essentials - the specific operations you need for AI-assisted analytic workflows.
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Prompt engineering for analysts
Six prompt patterns for analytic work (classification, exploration, code generation, summarization, helpful/adversarial, evaluation), iteration workflow, and common mistakes.
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Evaluation frameworks
Rubric design, Cohen's κ, precision/recall, test case templates, and when to trust LLM-as-judge.
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INFO 4340 | Fall 2026 | Stefani Langehennig, PhD University of Denver | Daniels College of Business