final

Author: madeline-underwood

content/learning-paths/cross-platform/adler32/build-6.md

@@ -6,7 +6,7 @@ weight: 6
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-## How can I build and run the test program? 
+## How Can I Build and Run the Test Program? 
 
 You now have all the required files to test the Adler32 algorithm:
 - A C implementation of the Adler32 function.

content/learning-paths/cross-platform/adler32/makefile-5.md

@@ -6,7 +6,7 @@ weight: 5
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-## How can I create a Makefile to build and run the test program?
+## How Can I Create a Makefile to Build and Run the Test Program?
 
 Paste the following prompt into GitHub Copilot. It tells Copilot to generate a Makefile that uses `gcc` and targets the Neoverse N1 processor for optimized performance.
 

content/learning-paths/cross-platform/adler32/neon-run-8.md

@@ -6,7 +6,7 @@ weight: 8
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-## How can I run the NEON version of Adler32 and compare performance?
+## How Can I Run the NEON Version of Adler32 and Compare Performance?
 
 Before comparing performance, you need to ensure that the NEON implementation builds, runs, and produces the same results as the standard C version.
 

content/learning-paths/cross-platform/adler32/simple-c-3.md

@@ -1,12 +1,12 @@
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-title: Create a C version of Adler32
+title: Create a C Version of Adler32
 weight: 3
 
 ### FIXED, DO NOT MODIFY
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-## How can I generate a C function for Adler32?
+## How Can I Generate a C Function for Adler32?
 
 You can use GitHub Copilot to generate a simple C version of the Adler32 checksum algorithm.
 

content/learning-paths/cross-platform/adler32/summary-10.md

@@ -6,7 +6,7 @@ weight: 10
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-## How can I summarize the project results?
+## How Can I Summarize the Project Results?
 
 You can use GitHub Copilot to generate a project summary in a README file.