Files
TinyTorch/instructor/guides/educational_analysis_report.md
Vijay Janapa Reddi 0eab3c2de3 Reorganize repository structure with instructor resources
🏗️ REPOSITORY RESTRUCTURE:
- Created instructor/ directory with organized subdirectories
- Moved analysis tools to instructor/tools/
- Moved reports to instructor/reports/
- Moved guides to instructor/guides/
- Created docs/ structure for future Quarto documentation

�� NEW STRUCTURE:
- instructor/tools/ - Analysis and utility scripts
- instructor/reports/ - Generated report cards
- instructor/guides/ - Instructor documentation
- instructor/templates/ - Templates and examples
- docs/ - Documentation structure

🔧 FUNCTIONALITY:
- Created analyze_modules.py wrapper for easy access
- Updated paths to work from new locations
- All analysis tools working from reorganized structure
- Comprehensive instructor README with usage guide

 VERIFICATION:
- Analysis tools work from root directory
- All modules can be analyzed successfully
- Report generation functions correctly
- Clean, logical directory organization
2025-07-13 09:15:49 -04:00

3.7 KiB

TinyTorch Educational Content Analysis Report

==================================================

📊 Overall Statistics

  • Total modules analyzed: 8
  • Total lines of content: 7,057
  • Total cells: 89
  • Average scaffolding quality: 1.9/5.0

📚 Module-by-Module Analysis

00_setup

  • Lines: 300
  • Cells: 7
  • Concepts: 38
  • TODOs: 2
  • Hints: 2
  • Tests: 0
  • Scaffolding Quality: 2/5
  • ⚠️ Potential Overwhelm Points:
    • Cell 6: Long implementation without guidance (56 lines)
    • Cell 6: High complexity without student scaffolding

01_tensor

  • Lines: 1,232
  • Cells: 17
  • Concepts: 73
  • TODOs: 1
  • Hints: 1
  • Tests: 1
  • Scaffolding Quality: 2/5
  • ⚠️ Potential Overwhelm Points:
    • Cell 8: Long implementation without guidance (125 lines)
    • Cell 8: High complexity without student scaffolding
    • Cell 8: Sudden complexity jump from 1 to 4

02_activations

  • Lines: 1,417
  • Cells: 17
  • Concepts: 90
  • TODOs: 4
  • Hints: 4
  • Tests: 1
  • Scaffolding Quality: 2/5
  • ⚠️ Potential Overwhelm Points:
    • Cell 2: Long implementation without guidance (86 lines)
    • Cell 2: High complexity without student scaffolding
    • Cell 2: Sudden complexity jump from 1 to 4

03_layers

  • Lines: 1,162
  • Cells: 12
  • Concepts: 63
  • TODOs: 2
  • Hints: 2
  • Tests: 1
  • Scaffolding Quality: 2/5
  • ⚠️ Potential Overwhelm Points:
    • Cell 2: Long implementation without guidance (52 lines)
    • Cell 2: High complexity without student scaffolding
    • Cell 2: Sudden complexity jump from 1 to 4

04_networks

  • Lines: 1,273
  • Cells: 13
  • Concepts: 65
  • TODOs: 2
  • Hints: 2
  • Tests: 1
  • Scaffolding Quality: 2/5
  • ⚠️ Potential Overwhelm Points:
    • Cell 2: Long implementation without guidance (58 lines)
    • Cell 2: High complexity without student scaffolding
    • Cell 2: Sudden complexity jump from 1 to 4

05_cnn

  • Lines: 774
  • Cells: 12
  • Concepts: 72
  • TODOs: 3
  • Hints: 3
  • Tests: 1
  • Scaffolding Quality: 2/5
  • ⚠️ Potential Overwhelm Points:
    • Cell 2: Long implementation without guidance (55 lines)
    • Cell 2: High complexity without student scaffolding
    • Cell 2: Sudden complexity jump from 1 to 4

06_dataloader

  • Lines: 899
  • Cells: 11
  • Concepts: 76
  • TODOs: 3
  • Hints: 3
  • Tests: 1
  • Scaffolding Quality: 2/5
  • ⚠️ Potential Overwhelm Points:
    • Cell 2: Long implementation without guidance (53 lines)
    • Cell 2: High complexity without student scaffolding
    • Cell 2: Sudden complexity jump from 1 to 4

07_autograd

  • Lines: 0
  • Cells: 0
  • Concepts: 0
  • TODOs: 0
  • Hints: 0
  • Tests: 0
  • Scaffolding Quality: 1/5

🎯 Educational Recommendations

🚨 Modules Needing Better Scaffolding:

  • 00_setup: Quality 2/5
  • 01_tensor: Quality 2/5
  • 02_activations: Quality 2/5
  • 03_layers: Quality 2/5
  • 04_networks: Quality 2/5
  • 05_cnn: Quality 2/5
  • 06_dataloader: Quality 2/5
  • 07_autograd: Quality 1/5

📈 Modules with High Complexity:

  • 00_setup: 42.9% high-complexity cells
  • 01_tensor: 35.3% high-complexity cells
  • 02_activations: 76.5% high-complexity cells
  • 03_layers: 83.3% high-complexity cells
  • 04_networks: 84.6% high-complexity cells
  • 05_cnn: 83.3% high-complexity cells
  • 06_dataloader: 72.7% high-complexity cells
  • Ideal module length: 200-400 lines (current range: 300-1417)
  • Cell complexity: Max 30% high-complexity cells
  • Scaffolding ratio: All implementation cells should have hints
  • Progression: Concept → Example → Implementation → Verification