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Few Topics are:

• top-down design, divide and conquer
• Average and worst-case criteria
• Simple recurrence relations
• Arrays, lists, stacks, queues, trees, heaps, and graphs,
• Sorting and searching, matrix algorithms, sorting
• shortest-path and spanning tree problems,
• Discrete optimisation algorithms
• space and run-time requirements, Analytical methods,
• Theoretical bounds, searching algorithms
• greedy algorithms , Graph algorithms, depth first and breadth first search
• sets, matrices,recursion,
• Divide-and-conquer dynamic programming
• Nondeterminism, NP-completeness,
• Approximation algorithms,recursion
• Fourier transform ordering
• Arithmetic algorithms ,algebraic algorithms ,graph algorithms ,pattern matching
• algorithms and data structures
  
• algorithmic design paradigms
  
• brute force
  
• decrease and conquer
  
• transform and conquer
  
• greedy, dynamic programming
  
• iterative improvement
  
• trees
  
• lists
  
• stacks
  
• queues
  
• hash tables and graph representations
  
• general algorithmic problem types
  
• sorting, searching, graphs and geometric
• algorithmic strategies
  
• time and space complexity
  
• sorting algorithms
  
• recurrence relations
  
• divide and conquer algorithms
  
• greedy algorithms
  
• dynamic programming
  
• linear programming
  
• graph algorithms
  
• problems in P and NP, and approximation algorithms
  
• algorithm design
  
• analysis of correctness and efficiency
• probabilistic methods
  
• advanced data structures
  
• Lower bounds
  
• NP-completeness, intractability

Some of the topics are:

• design of efficient algorithms
  
• recursion, divide and conquer
  
• balancing, dynamic programming
  
• greedy method, network flow
  
• linear programming
  
• Correctness and analysis of algorithms
  
• NP-completeness