From 229971ef85fdff752cdd2197cde58d81854fc70a Mon Sep 17 00:00:00 2001
From: Vijay Janapa Reddi <vj@eecs.harvard.edu>
Date: Fri, 7 Nov 2025 18:15:39 -0500
Subject: [PATCH] Improve module naming for clarity
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Changes:
- Module 09: 'Spatial' → 'Spatial (CNNs)' in TOC for clarity
- Module 20: 'TinyMLPerf' → 'MLPerfEdu' to avoid confusion
  * TinyMLPerf is a real benchmark for edge devices
  * MLPerfEdu clearly indicates educational competition
  * More accurate descriptor for this capstone
- Fixed 'Performance Tier' → 'Optimization Tier' in Module 20 objectives

Better naming makes the course structure clearer for students.
---
 book/_toc.yml                | 4 ++--
 book/chapters/20-capstone.md | 8 ++++----
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/book/_toc.yml b/book/_toc.yml
index e0a7e41a..5284c214 100644
--- a/book/_toc.yml
+++ b/book/_toc.yml
@@ -47,7 +47,7 @@ parts:
   - file: chapters/08-dataloader
     title: "08. DataLoader"
   - file: chapters/09-spatial
-    title: "09. Spatial"
+    title: "09. Spatial (CNNs)"
   - file: chapters/10-tokenization
     title: "10. Tokenization"
   - file: chapters/11-embeddings
@@ -75,7 +75,7 @@ parts:
 - caption: 🏅 Capstone Project
   chapters:
   - file: chapters/20-capstone
-    title: "20. AI Olympics"
+    title: "20. MLPerfEdu Competition"
 
 - caption: 🌍 Community
   chapters:
diff --git a/book/chapters/20-capstone.md b/book/chapters/20-capstone.md
index 882fe9be..8e657bcf 100644
--- a/book/chapters/20-capstone.md
+++ b/book/chapters/20-capstone.md
@@ -1,19 +1,19 @@
 ---
-title: "TinyMLPerf Competition - Your Capstone Challenge"
-description: "Apply all optimizations in a standardized MLPerf-inspired competition"
+title: "MLPerfEdu Competition - Your Capstone Challenge"
+description: "Apply all optimizations in a standardized MLPerf-inspired educational competition"
 difficulty: 5
 time_estimate: "10-20 hours"
 prerequisites: ["All modules 01-19"]
 next_steps: []
 learning_objectives:
-  - "Apply all Performance Tier optimizations to a standardized benchmark"
+  - "Apply all Optimization Tier techniques to a standardized benchmark"
   - "Implement either Closed Division (optimize given model) or Open Division (innovate architecture)"
   - "Generate validated submission with normalized metrics"
   - "Demonstrate complete ML systems engineering skills"
   - "Compete fairly across different hardware platforms"
 ---
 
-# 20. TinyMLPerf Competition
+# 20. MLPerfEdu Competition
 
 **🏆 CAPSTONE** | Difficulty: ⭐⭐⭐⭐⭐ (5/5 - Ninja Level) | Time: 10-20 hours