Update

Author: yenchiah

_lectures/lec3.md

@@ -6,7 +6,7 @@ nav_order: 3
 
 # Lecture 3: Structured Data Processing (Part I)
 
-(Last updated: Jan 24, 2025)
+(Last updated: Sep 8, 2025)
 
 This lecture explains the theory of Decision Tree and Random Forest models that are used in the structured data processing module.
 
@@ -16,7 +16,7 @@ There is no preparation material for this lecture.
 
 ## Materials
 
-- [Slides for Lecture 3: Structured Data Processing (Decision Tree and Random Forest)]({{ site.baseurl }}/slides/lec3-1.pdf)
+- [Slides for Lecture 3: Structured Data Processing (Decision Tree, Random Forest, and PCA)]({{ site.baseurl }}/slides/lec3-1.pdf)
 
 ## Additional Resources
 

index.md

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 # Course Overview (2025 Edition)
 
-(Last updated: Jul 30, 2025)
+(Last updated: Sep 8, 2025)
 
 - Course Name: Data Science (2025/2026)
 - Program: The second year of Bachelor Informatiekunde (i.e., Information Science)