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Rename Section 3 to 'TinyTorch Architecture' (not 'Curriculum')

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ISSUE:
'The TinyTorch Curriculum' sounds too classroom-focused, as if the paper is
only about education/courses rather than a framework design contribution.

SOLUTION:
Changed to 'TinyTorch Architecture' which:
- Describes the framework structure (20 modules, 3 tiers, milestones)
- Matches systems paper conventions (Architecture sections common in CS)
- Emphasizes this is a design contribution, not just coursework
- Avoids over-emphasizing educational context

Section 3 describes HOW TinyTorch is architected:
- Module organization and dependencies
- Tier-based structure (Foundation/Architecture/Optimization)
- Module pedagogy (Build → Use → Reflect)
- Milestone validation approach

'Architecture' accurately captures this structural design focus.

Paper compiles successfully (26 pages).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vijay Janapa Reddi
2025-11-19 13:45:05 -05:00
parent 02f0deb021
commit bc3faade85
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@@ -480,7 +480,7 @@ TinyTorch differs from educational frameworks through systems-first integration
Empirical validation of learning outcomes remains future work (\Cref{sec:discussion}), but design grounding in established theory (constructionism, cognitive apprenticeship, productive failure, threshold concepts) provides theoretical justification for pedagogical choices. Empirical validation of learning outcomes remains future work (\Cref{sec:discussion}), but design grounding in established theory (constructionism, cognitive apprenticeship, productive failure, threshold concepts) provides theoretical justification for pedagogical choices.
\section{The TinyTorch Curriculum} \section{TinyTorch Architecture}
\label{sec:curriculum} \label{sec:curriculum}
This section presents the 20-module curriculum structure, organized into four tiers that progressively build a complete ML framework. This section presents the 20-module curriculum structure, organized into four tiers that progressively build a complete ML framework.