Algorithms design and analysis part 2

  • How hard is analysis of algorithms?

    Algorithms is probably one of the harder courses in your comp sci. degree, but it's totally doable.
    What makes it so difficult compared to other courses is how much intuition is involved in designing/analyzing algorithms..

  • What are the steps involved in designing and analyzing an algorithm?

    Step 1: Obtain a description of the problem.
    Step 2: Analyze the problem.
    Step 3: Develop a high-level algorithm.
    Step 4: Refine the algorithm by adding more detail..

  • What is algorithm 2 marks questions?

    3.
    What is an algorithm? An algorithm is a sequence of unambiguous instructions for solving a problem, i.e., for obtaining a required output for any legitimate input in finite amount of time.
    An algorithm is step by step procedure to solve a problem..

  • What is an algorithm 2 mark?

    An algorithm is a procedure used for solving a problem or performing a computation.
    Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines.
    Algorithms are widely used throughout all areas of IT..

Do I need a textbook for the algorithm course?

No specific textbook is required for the course

Much of the course material is covered by the well-known textbooks on algorithms, and the student is encouraged to consult their favorite for additional information

The class will consist of lecture videos, generally between 10 and 15 minutes in length

How long is a class on algorithms?

Much of the course material is covered by the well-known textbooks on algorithms, and the student is encouraged to consult their favorite for additional information

The class will consist of lecture videos, generally between 10 and 15 minutes in length

These usually have integrated quiz questions

What will I learn in algorithm design?

You'll learn the greedy algorithm design paradigm, with applications to computing good network backbones (i

e

, spanning trees) and good codes for data compression

You'll learn the tricky yet widely applicable dynamic programming algorithm design paradigm, with applications to routing in the Internet and sequencing genome fragments


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