DSA in Java
Master the fundamentals of Data Structures and Algorithms (DSA) using Java in this comprehensive course. Designed for beginners and intermediate learners, this course will help you build a solid foundation in problem-solving and efficient coding techniques.
₹9000.00 ₹12000.00 25% OFF
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Course Overview
Schedule of Classes
Course Curriculum
2 Subjects
DSA(MAY-JUNE)
41 Learning Materials
Module 1: Java basics, syntax, and control structures.
Session 1
Session 2
Module 2: Array manipulation techniques
Session 3
Session 4
Session 5
Session 6
Module 3: Singly, doubly, and circular linked lists
Session 7
Session 8
Module 4: Stack operations using arrays and linked lists
Session 9
Session 10
Session 11
Session 12
Module 5: Hash tables and hash functions
Session 13
Session 14
Session 15
Session 16
Session 17
Module 6: Binary trees, binary search trees, and balanced trees
Session 18
Session 19
Session 20
Module 7: Binary heaps and heap operations
Session 21
Session 22
Session 23
Module 8: Graph representation (adjacency list, matrix)
Session 24
Session 25
Session 26
Module 9: Understanding recursion and memorization
Session 27
Session 28
Module 10: Classic sorting techniques: Quick sort, Merge sort, Heap sort, Bubble sort
Session 29
Session 30
Session 31
Session 32
Session 33
Module 11: Greedy approach and optimization problems
Session 34
Session 35
Session 36
Session 37
Session 38
Module 12: Solving constraint satisfaction problems using backtracking
Session 39
Session 40
Session 41
Module 13: Recursion and divide-and-conquer strategy
DSA(SEP-NOV)
Time Table
Notes/Codes/Project Details
Module 1: Java basics, syntax, and control structures.
Module 2: Array manipulation techniques
Module 3: Singly, doubly, and circular linked lists
Module 4: Stack operations using arrays and linked lists
Module 5: Hash tables and hash functions
Module 6: Binary trees, binary search trees, and balanced trees
Module 7: Binary heaps and heap operations
Module 8: Graph representation (adjacency list, matrix)
Module 9: Understanding recursion and memorization
Module 10: Classic sorting techniques: Quick sort, Merge sort, Heap sort, Bubble sort
Module 11: Greedy approach and optimization problems
Module 12: Solving constraint satisfaction problems using backtracking
Module 13: Recursion and divide-and-conquer strategy
Course Instructor
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