Introduction to Asymptotic Notation ##Why do we need to analyse algorithms? Writing a working program is not sufficient. The program may not be efficient. If the program is run on a large set of data, ...

Asymptotic Notation and Complexity Analysis In algorithm analysis, we use asymptotic notation to describe the runtime of a program. There are three main types of asymptotic notation: Big Theta (Θ), ...

Learn how to use asymptotic notation to compare the efficiency and performance of algorithms, and what are the main types, classes, and tips of asymptotic notation.

Learn how to use Big O, Big Theta, and Big Omega to analyze and compare the growth rates of different algorithms for complexity and efficiency.

COMP 372 introduces the fundamental techniques for designing and analyzing algorithms. These include asymptotic notation and analysis, divide-and-conquer algorithms, dynamic programming, greedy ...

Next, we introduce the heap data structure and the basic properties of heaps. This is followed by algorithms for insertion, deletion and finding the minimum element of a heap along with their time ...

Subject-specific Knowledge: On completion of the module, students will be able to demonstrate: a knowledge of common data structures and their relative advantages and disadvantages familiarity with ...