Drew Norris Course Certification Hub | NCCCS Spring 2026
Pedagogical scaffolding system providing safe, low-stakes practice before graded work. Five interactive tools help students master GitHub workflows, user stories, SCRUM ceremonies, and Agile practices through hands-on exercises with instant feedback.
12 progressive scenarios teaching GitHub workflow step-by-step. Practice Sacred Flow, merge conflicts, and CSC-289/GRD-242 collaboration safely.
10 exercises teaching user story analysis like sentence diagramming. Break down WHO, WHAT, WHY components, fix broken stories, and write acceptance criteria.
Searchable database of 20+ common errors with plain-English explanations and copy-paste fixes. Self-service troubleshooting for GitHub, PM, and collaboration issues.
20 user stories to estimate using Fibonacci scale. Build estimation intuition, compare to expert estimates, track accuracy improvement over time.
9 branching scenarios across daily standups, sprint planning, and retrospectives. Practice Agile ceremonies with instant feedback and best practices tips.
Access all 5 tools from one central hub. Includes student-facing documentation, quick start guide, and integration recommendations for Canvas.
Open Hub →CSC-113 (AI Fundamentals): Required - GitHub Practice Simulator before M1 Assignment 1
CSC-114 (AI I): User Story Tool (M1-2), Estimation Practice (M2-3), SCRUM Simulators (M4-8)
CSC-249 (Data Structures): GitHub Simulator refresher, Estimation Practice for sprint cycles
CTS-285 (Systems Analysis): All tools - comprehensive Agile/PM practice
CTS-289 (Capstone): Required M1 (all GitHub scenarios including GRD-242 collab), all tools throughout semester
Complete documentation available for students, faculty, and SMEs:
Shows which courses address which program outcomes. Click cells to see details.
How skills progress from introduction to mastery across Drew's program.
Comprehensive guide to choosing and using AI coding assistants (GitHub Copilot, ChatGPT, Claude, Google Gemini) for CSC-113 and CSC-114. All tools have FREE tiers for students!
Start here to explore all available resources and get an introduction to the four major AI coding assistants.
9-tab comprehensive comparison covering features, pricing, context windows, and course-specific guidance for all tools.
Answer 5 questions to get personalized AI tool recommendations using a machine learning-based weighted scoring algorithm.
Learn where each AI tool fits into professional Agile workflows: sprint planning, development, code review, deployment, and more.