Design and analysis of algorithms course objectives

  • What are the objectives of learning algorithms?

    To become conversant with sorting algorithms, including the advantages and disadvantages of each.
    To learn to write and analyze recursive programs, functions, and methods.
    To learn to traverse and to implement linked data structures such as linked lists and trees..

  • What is the objective of algorithm analysis?

    The practical goal of algorithm analysis is to predict the performance of different algorithms in order to guide design decisions..

  • What is the purpose of design and analysis of algorithms?

    Algorithm analysis is an important part of computational complexity theory, which provides theoretical estimation for the required resources of an algorithm to solve a specific computational problem.
    Analysis of algorithms is the determination of the amount of time and space resources required to execute it..

  • What is the purpose of design and analysis of algorithms?

    Design and Analysis of Algorithms (DAA) is a fundamental area of computer science that finds application in a wide range of fields.
    Here are some of the common areas where DAA is used: Computer programming: DAA is used extensively in computer programming to solve complex problems efficiently..

  • To become conversant with sorting algorithms, including the advantages and disadvantages of each.
    To learn to write and analyze recursive programs, functions, and methods.
    To learn to traverse and to implement linked data structures such as linked lists and trees.
  • Topics include divide-and-conquer, dynamic programming, greedy algorithms, graph algorithms, network flow, geometric algorithms, and NP-completeness.
    The course puts emphasis on mathematical rigor; it expects students to figure out the mathematics and logic that make algorithms work.
Course Objectives The goal of this course is to provide a solid background in the design and analysis of the major classes of algorithms. At the end of the course students will be able to develop their own versions for a given computational task and to compare and contrast their performance.
This section lists general goals for the course and specific skills that students will learn.
Upon completion of this course, students will be able to do the following: Analyze the asymptotic performance of algorithms. Write rigorous correctness proofs for algorithms. Demonstrate a familiarity with major algorithms and data structures.

Upon completion of this course, students will be able to do the following:

  • Analyze the asymptotic performance of algorithms.
  • Write rigorous correctness proofs for algorithms.
  • Demonstrate a familiarity with major algorithms and data structures.
  • Apply important algorithmic design paradigms and methods of analysis.
  • Synthesize efficient algorithms in common engineering design situations.

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