Completed Precourse 2

[meetrpatels30]

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[super30admin]

The student's solutions demonstrate a good understanding of fundamental algorithms and data structures. Here's a detailed evaluation for each exercise:

1. Exercise_1.js (Binary Search):

• Correctness: The implementation correctly follows the binary search algorithm.
• Time Complexity: Correctly identified as O(log n).
• Space Complexity: Correctly identified as O(1).
• Code Quality: Well-structured with clear comments. The edge case for empty array is handled.
• Improvement: The base case (left === right) is unnecessary since the while loop handles it.

2. Exercise_2.js (QuickSort):

• Correctness: Proper implementation of QuickSort with correct partitioning.
• Time Complexity: Correctly identified as O(n log n) average and O(n²) worst case.
• Space Complexity: Correctly identified as O(log n) due to recursion stack.
• Code Quality: Good structure with helper methods. The swap method could be made static since it doesn't use instance properties.
• Improvement: Could add check for already sorted array to optimize.

3. Exercise_3.js (Linked List Middle Element):

• Correctness: Correct implementation using fast and slow pointers.
• Time Complexity: Correctly identified as O(n).
• Space Complexity: Correctly identified as O(1).
• Code Quality: Well-structured with proper class usage. The printMiddle method could return the value instead of just printing.
• Improvement: The printList call inside the loop is inefficient for demonstration.

4. Exercise_4.js (MergeSort):

• Correctness: Proper implementation of MergeSort with correct merging.
• Time Complexity: Correctly identified as O(n log n).
• Space Complexity: Correctly identified as O(n).
• Code Quality: Well-structured with clear separation of concerns. Good use of helper methods.
• Improvement: Could optimize by checking if subarrays are already sorted before merging.

General Strengths:

• Consistent coding style
• Proper comments and documentation
• Correct time/space complexity analysis
• Good handling of edge cases

General Areas for Improvement:

• Some redundant checks could be removed
• Methods that don't use instance properties could be made static
• Some demonstration code could be more efficient
• Could add more test cases for edge scenarios