Last modified: 25 May 2018 11:16
This course provides the knowledge needed to understand, design and compare algorithms. By the end of the course, a student should be able to create or adapt algorithms to solve problems, determine an algorithm's efficiency, and be able to implement it. The course also introduces the student to a variety of widely used algorithms and algorithm creation techniques, applicable to a range of domains. The course will introduce students to concepts such as pseudocode and computational complexity, and make use of proof techniques as well as the studentâ€™s programming skills.
Study Type  Undergraduate  Level  2 

Session  Second Sub Session  Credit Points  15 credits (7.5 ECTS credits) 
Campus  None.  Sustained Study  No 
Coordinators 

This course concerns seeks to equip the student with the knowledge required to identify appropriate algorithms to address computational problems. It begins by describing the concept of an algorithm, and shows how once an determine whether an algorithm solves a specific problem. Computational complexity is then introduced, allowing the student to compare algorithm efficiency. Basic data structures, such as lists, queues, trees, etc are then described and analysed. The course then examines standard approaches to algorithm creation, such as dynamic programming and search, as well as common algorithmic problems and their solutions, such as sorting.
This is the total time spent in lectures, tutorials and other class teaching.
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