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Course Detail

Course Name Practical Algorithms for Programmers
Course Code 18SN601
Program M. Tech. in Cyber Security Systems & Networks
Semester 1
Credits Amritapuri
Year Taught 2018


Course Syllabus

Algorithm Analysis: Asymptotic Notation-Standard – Recurrences – Solution to Recurrences Divide and Conquer – Sorting, Matrix Multiplication and Binary Search. Dynamic Programming- Longest common sustring/subsequence – Matrix Chain Multiplication – 0-1 Knapsack problem – Coin Change problem. Greedy algorithms: Fractional knapsack, job scheduling, matroids. Graph Algorithms – Graph Traversal, Single- Source Shortest Paths, All pairs Shortest Paths, Depth First Search, Breadth First Search and their applications, Minimum Spanning Trees. Network Flow and Matching: Flow Algorithms – Maximum Flow– Cuts – Maximum Bipartite Matching -Graph partitioning via multi-commodity flow, Karger’r Min Cut Algorithm. Amortized Analysis – Aggregate Method – Accounting Method – Potential Method. String Matching Algorithms: KMP, Aho-Korasik algorithm, Z-algorithm.

Text Books / References

  • Michael T Goodrich, Roberto Tamassia, “Algorithm Design: Foundations, Analysis and Internet Examples”, John Wiley and Sons, 2002
  • Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein, “Introduction to Algorithms”, Third Edition, The MIT Press, 2009
  • SanjoyDasgupta, Christos Papadimitriou and UmeshVazirani, “Algorithms”, Tata McGraw-Hill, 2009
  • R. K. Ahuja, TL Magnanti, JB Orlin, “Network flows: Theory, Algorithms, and Applications”, Prentice Hall Englewood Cliffs, NJ, 1993
  • Rajeev Motwani and PrabhakarRaghavan, “Randomized Algorithms”, Cambridge University Press, 1995.


“Practical Algorithms for Programmers” is a course offered in the first semester of M. Tech. in Cyber Security Systems & Networks program at School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri.

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