Michael Lane 在 East Texas A&M University 的 AI 硕士课程作业仓库
arsindelve/ms-in-ai
Michael Lane 公开了其在 East Texas A&M University 攻读人工智能硕士期间的课程作业仓库，每门课一个文件夹，包含 README、Syllabus.pdf 和按作业提交的代码与原始题目 PDF。目前仓库收录 CSCI 513.01W《Python Programming for AI》的 Assignment 2–3，后续课程将陆续添加。
M.S. in Artificial Intelligence
This is my coursework from my Master of Science in Artificial Intelligence at East Texas A&M University. One folder per course, each with its own README, the syllabus, and the assignments as submitted.
About
I'm Michael Lane, a software engineering leader with 20+ years building and scaling engineering organizations. My interests sit at the intersection of large language models, memory systems, and interactive, narrative-driven applications of AI. Outside of coursework, that shows up as ZorkAI — an LLM-narrated take on classic text adventures, and the work behind newzork.ai.
- ORCID: 0009-0006-5381-6080
Courses
| Course | Term | Title | In this repo |
|---|---|---|---|
| CSCI 513.01W | Fall 2026 | Python Programming for AI | Assignments 2–3 |
More courses get added here as I take them.
Layout
Each course folder follows the same shape:
CSCI-513/
├── README.md course overview, instructor, assignment index
├── Syllabus.pdf the syllabus as distributed
├── AssignmentTwo/ one folder per assignment: the prompt PDF,
└── AssignmentThree/ the source, and any data files it reads
Assignment folders keep the original prompt PDF alongside the code, so each one stands on its own. You can read what was asked and what was turned in without leaving the folder.
来源：GitHub · github.com