Week 3 Review

[alvinzhengq]

Score: 5/5

• Sorts and Analysis -- Coding, Comments, and Documentation - Documentation, Runtime

  • Build custom Bubble Sort, Selection Sort, Insertion Sort and Merge Sort. 25%
  • Build a GitHub page that describes Sort implementations and the Big O complexity of these Sorts. 25%
  • Analysis 25%
  • Establish analytics including: time, comparisons and swaps.
  • Average the results for each each Sort, run each at least 12 times and 5000 elements. You should throw out High and Low when doing analysis.
  • Make your final/judgement on best sort considering Data Structure loading, Comparisons, Swaps, Big O complexity, and Time.

• Individual GitHub pages, Replit, IntelliJ 25% - Link

  • Organize files, directories and menus for all weeks.
  • Make your GitHub pages fold into a personal portfolio
  • Make sure all Code and Analytics runs on Replit and IntelliJ
  • Ensure Individual GitHub Repository shows iteration on work (minimum of 10 commits on Java and 10 commits on Pages)

[ArnavPalkhiwala]

Score: 5/5

• [x] Build custom Bubble Sort, Selection Sort, Insertion Sort, and Merge Sort. 25% -> great job with all the functioning code with all four sort algorithms
• [x] Build a GitHub page that describes Sort implementations and the Big O complexity of these Sorts. 25% -> GitHub pages has all of these sort implementations and discusses the Big O complexity
• [x] Analysis 25% -> Very good analysis and proper averages used
• [x] Individual GitHub pages, Replit, IntelliJ 25% -> Everything is very organized with good Github pages and code running on repl and vs code; plenty of commits