Tags: Programming Systems Syllabus, ME/M.Tech 1st sem Syllabus, MCTA 102 Syllabus, ME/M.Tech First Semester Syllabus, Computer Tech. & Applications M.Tech Syllabus, Software Systems
Rajiv Gandhi Technological University, Bhopal (MP)
Computer Tech. & Applications (UTD, RGTU, Bpl)
Software Systems SATI (Vidisha)
ME/M.Tech. 1st FIRST SEMESTER SYLLABUS
MCTA 102 Programming Systems Syllabus
Computer Tech. & Applications (UTD, RGTU, Bpl)
Software Systems SATI (Vidisha)
ME/M.Tech. 1st FIRST SEMESTER SYLLABUS
MCTA 102 Programming Systems Syllabus
Unit 1
Introduction to software design principles, modularity abstract data types, data structures and algorithms, Linear data structures-Stacks, arrays, lists, queues and linked representations; Pre-fix in-fix and post-fix expressions; Recursion; Set operations; Hashing and hash functions; Binary and other trees, traversal algorithms, Huffman codes; Search trees, priority queues, heaps and balanced trees.
Unit 2
Models of computation. Algorithm analysis, order arithmetic, time and space complexities and average and worst case analysis, lower bounds.
Unit 3
Algorithm design techniques: divide and conquer, search and traversals. Dynamic programming. backtracking. branch and bound.
Unit 4
Sorting and searching algorithms, combinatorial algorithms, string processing algorithms. Algebraic algorithms, set algorithms. Hard problems and approximation algorithms.
Unit 5
Problem classes P, NP, NP-hard and NP-complete, deterministic and nondeterministic polynomial time algorithms., Approximation algorithms for some NPcomplete problems.
Reference books::
1. D.E.Knuth, The Art of Computer Programming, Vols. 1 and 3, Addison Wesley
2.V Aho, JE Hopcroft, JD Ullman, Design & Analysis of Algorithms, Addison Wesley
3. Horowitz, S. Sahni, Fundamentals of Computer Algorithms, Galgotia Publishers
4. K.Mehlhorn, Data Structures and Algorithms, Vols. 1 and 2, Springer Verlag,
5. Purdom, Jr.and C. A. Brown, Analyses of Algorithms, Holt Rinechart and Winston,
Introduction to software design principles, modularity abstract data types, data structures and algorithms, Linear data structures-Stacks, arrays, lists, queues and linked representations; Pre-fix in-fix and post-fix expressions; Recursion; Set operations; Hashing and hash functions; Binary and other trees, traversal algorithms, Huffman codes; Search trees, priority queues, heaps and balanced trees.
Unit 2
Models of computation. Algorithm analysis, order arithmetic, time and space complexities and average and worst case analysis, lower bounds.
Unit 3
Algorithm design techniques: divide and conquer, search and traversals. Dynamic programming. backtracking. branch and bound.
Unit 4
Sorting and searching algorithms, combinatorial algorithms, string processing algorithms. Algebraic algorithms, set algorithms. Hard problems and approximation algorithms.
Unit 5
Problem classes P, NP, NP-hard and NP-complete, deterministic and nondeterministic polynomial time algorithms., Approximation algorithms for some NPcomplete problems.
Reference books::
1. D.E.Knuth, The Art of Computer Programming, Vols. 1 and 3, Addison Wesley
2.V Aho, JE Hopcroft, JD Ullman, Design & Analysis of Algorithms, Addison Wesley
3. Horowitz, S. Sahni, Fundamentals of Computer Algorithms, Galgotia Publishers
4. K.Mehlhorn, Data Structures and Algorithms, Vols. 1 and 2, Springer Verlag,
5. Purdom, Jr.and C. A. Brown, Analyses of Algorithms, Holt Rinechart and Winston,
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