About this class
Algorithms
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Learning Material
Title
Volume
Introduction to Algorithms: An overview of what algorithms are, their importance, and basic concepts.
5.89 MB
<p>Introduction to Algorithms: An overview of what algorithms are, their importance, and basic concepts.</p>
Analysis of Algorithms: Techniques for analyzing the efficiency and correctness of algorithms, including big O notation.
5.89 MB
<p>Analysis of Algorithms: Techniques for analyzing the efficiency and correctness of algorithms, including big O notation.</p>
Sorting Algorithms: Study of various sorting algorithms like bubble sort, insertion sort, merge sort, quicksort, etc., along with their analysis.
5.89 MB
<p>Sorting Algorithms: Study of various sorting algorithms like bubble sort, insertion sort, merge sort, quicksort, etc., along with their analysis.</p>
Searching Algorithms: Exploration of different searching algorithms like linear search, binary search, and hash-based searching.
5.89 MB
<p>Searching Algorithms: Exploration of different searching algorithms like linear search, binary search, and hash-based searching.</p>
Data Structures: Introduction to fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs.
5.89 MB
<p>Data Structures: Introduction to fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs.</p>
Divide and Conquer Algorithms: A deeper dive into algorithms that use the divide and conquer strategy, such as the merge sort and binary search.
5.89 MB
<p>Divide and Conquer Algorithms: A deeper dive into algorithms that use the divide and conquer strategy, such as the merge sort and binary search.</p>
Dynamic Programming: Understanding dynamic programming techniques and solving problems using this approach.
5.89 MB
<p>Dynamic Programming: Understanding dynamic programming techniques and solving problems using this approach.</p>
Greedy Algorithms: Exploration of greedy algorithms and their applications in solving optimization problems.
5.89 MB
<p>Greedy Algorithms: Exploration of greedy algorithms and their applications in solving optimization problems.</p>
Exams
Title
Min
Grade
Attempts
Status
Algorithms
50
Questions, 90
Min
50/100
0/1
-
Certificates
Title
Min
Grade
Algorithms
50/100
0
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