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School of Engineering and Informatics (for staff and students)

Data Structures & Algorithms (G5117)

Data Structures & Algorithms

Module G5117

Module details for 2021/22.

15 credits

FHEQ Level 4

Pre-Requisite

Introduction to Programming

Module Outline

This module provides an introduction to data structures and algorithms for computer scientists. The module introduces a number of fundamental data structures, including arrays linked lists, stacks, queues, trees, hash tables and graphs. These are presented both abstractly, via the notion Abstract Data Types, and concretely in terms of their implementation in an object-oriented framework. The data structures are discussed and analysed in terms of efficiency of the basic operations they support and their application to program design problems. Consideration is given to important, fundamental algorithms for searching and sorting data.

Library

Goodrich, M. & Tamassia, R. (2011) Data Structures and Algorithms in Java (5th Edn.) John Wiley and Sons.
Weiss, M.A. (2010) Data Structures & Problem Solving using Java, (4th Edn.), Addison-Wesley

Module learning outcomes

Evidence knowledge of a variety of data structures in terms of their characteristic behaviours.

Implement and apply appropriate data structures for solving program design problems.

Demonstrate basic knowledge of complexity issues with respect to data manipulation.

Evidence understanding of a number of fundamental algorithms.

TypeTimingWeighting
Multiple Choice questionsSemester 2 Assessment100.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterLecture1 hour22222222222
Spring SemesterClass1 hour01111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Prof Ian Mackie

Assess convenor
/profiles/212026

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School of Engineering and Informatics (for staff and students)

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