##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, then the running time of a program ...

The memory required to process the input by an algorithm helps in determining the space complexity. Asymtotic analysis is evaluating performance of an algoeithm in terms of input size and its increase ...

COMP 272 or an equivalent data-structures course ... COMP 372 introduces the fundamental techniques for designing and analyzing algorithms. These include asymptotic notation and analysis, ...

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 common algorithmic techniques ...

The student is also exposed to the notion of a faster algorithm and asymptotic complexity through the O, big-Omega and big-Theta notations. In this module, the student will learn about the basics of ...

Java programmers use data structures to store and organize data, and we use algorithms to manipulate the data in those structures. The more you understand about data structures and algorithms ...