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MMTE 002 Design & Analysis of Algorithms | Guess Papers of IGNOU

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MMTE 002 Design & Analysis of Algorithms | Guess Papers of IGNOU

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This course covers fundamental techniques for designing and analyzing algorithms. It includes topics such as sorting, searching, graph algorithms, and complexity theory.
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  • Detailed exploration of algorithm design techniques.
  • In-depth analysis of time and space complexity.
  • Graph algorithms including shortest path and network flow.
  • Practical applications in data structures and problem-solving.
Category : MASTER‘S DEGREE PROGRAMMES
Sub Category : Master of Science (Mathematics with Application in Computer Science) (MSCMACS)
Products Code : MSCMACS-MMT-S3-5.49
HSN Code : 490110
Language : English, English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 50
Weight : 157gms
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

The MMTE 002 Design & Analysis of Algorithms course for the Master of Science (Mathematics with Application in Computer Science) (MSCMACS) program provides students with a comprehensive understanding of the principles and practices involved in the creation and evaluation of algorithms. The course covers essential topics such as sorting and searching algorithms, dynamic programming, greedy algorithms, and advanced data structures. Students will learn to analyze the efficiency of algorithms, understand computational complexity, and apply these techniques to solve complex problems. This course is crucial for students aiming to excel in computer science and related fields, as it lays the foundation for effective problem-solving and optimization.

Benefits

  • Enhanced Problem-Solving Skills: Gain the ability to design efficient algorithms to solve complex problems.
  • Strong Foundation in Complexity Theory: Understand the computational limits and performance of algorithms.
  • Practical Applications: Learn to apply algorithmic techniques to real-world scenarios.
  • Exam Preparation: Covers important questions likely to appear in exams, ensuring thorough preparation.

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