Lab Assignments Overview

Lab Assignments

Through 12 lab assignments, you will implement the theories covered in lectures. All assignments are submitted via GitHub PR.

Submission Guide

# 1. Fork the repository and clone it
git clone https://github.com/[YOUR_USERNAME]/ai-systems-2026.git

# 2. Work in the assignment folder
mkdir -p assignments/lab-01/[student-id]
cd assignments/lab-01/[student-id]

# 3. Write code and commit
git add .
git commit -m "[Submit] Lab 01 - 20230001 Hong Gildong"

# 4. Create a PR
git push origin main
# Create a PR on GitHub

Lab Assignment List

Lab	Week	Topic	Difficulty	Due Date
Lab 01	Week 1	Development Environment Setup	Beginner	3/11
Lab 02	Week 2	First AI Coding Agent	Elementary	3/17
Lab 03	Week 3	MCP Server Implementation	Elementary	3/24
Lab 04	Week 4	Ralph Loop Implementation	Intermediate	4/01
Lab 05	Week 5	Context Management	Intermediate	4/08
Lab 06	Week 6	Instruction Tuning	Intermediate	4/15
Lab 07	Week 7	Multi-Agent Pipeline	Advanced	4/22
Lab 08	Week 8	Planning Agent	Advanced	4/29
Lab 09	Week 9	QA Agent	Advanced	5/06
Lab 10	Week 10	vLLM Deployment	Advanced	5/13
Lab 11	Week 12	Telemetry	Advanced	5/27
Lab 12	Week 12	LLM-as-Judge	Advanced	5/27

Grading Criteria

• Functionality (60%): Meets requirements
• Code Quality (20%): Readability, comments, type hints
• Documentation (20%): README, design decisions

Late Submission Policy

• Submissions within 3 days of the deadline: 10% deduction
• Submissions 7+ days late: 50% deduction
• Submissions 2+ weeks late: 0 points