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Data Structures & Algorithms (DSA) - Class 11, 12 | Learn eQuick | Learn eQuick
CLASS 11, 12 Advanced LEVEL
Data Structures & Algorithms (DSA) An advanced, competitive-programming-oriented DSA course for Class 11 students covering graphs, dynamic programming, greedy algorithms, and complexity analysis using Big-O notation — building strong problem-solving skills for higher studies and coding competitions.
Expert Trainer-Led Sessions Training Slides & Learning Materials Practical Assignments Assessment & Progress Report Course Completion Certificate Instructor-Led Training Practical Hands-on Sessions Live Demonstrations Mini Assignments & Assessments Project-Based Learning Detailed Syllabus Practical, engaging and concept-based learning
Topics Covered
Graph representation (adjacency list/matrix) Breadth-First Search (BFS) Depth-First Search (DFS) Practical / Activities
Implement BFS/DFS on a graph Outcomes
Represent and traverse graphs
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Class 10 DSA course or equivalent experience
Introduction to DP: memoization and tabulation
Classic DP problems Practical / Activities
Solve classic DP problems (knapsack, Fibonacci memoization) Outcomes
Apply dynamic programming to solve optimization problems Topics Covered
Greedy algorithm strategy Classic greedy problems Practical / Activities
Solve a greedy algorithm problem set Outcomes
Apply greedy strategies to appropriate problems 4
Complexity Analysis & Practice Topics Covered
Big-O notation in depth Analyzing time/space complexity of algorithms Practical / Activities
Competitive coding problem set with complexity analysis Outcomes
Analyze algorithm efficiency using Big-O notation Solve advanced algorithmic problems Represent and traverse graphs using BFS and DFS Solve problems using dynamic programming Apply greedy algorithm strategies Analyze algorithm efficiency using Big-O notation 
