Data Structures

Course aim

To develop skills in selecting or designing and implementing appropriate data structures and algorithms to develop software to solve problems.

Course content

Design and implementation of classes using abstraction, inheritance, polymorphism, interfaces, nested classes and generic classes.
The Collection classes revisited.
Advanced file IO: NIO, object serialisation.
Design, implementation and use of basic data structures: Stacks, queues, deques, vectors and lists, binary trees, multi-way trees, balanced trees, B and B+ trees; graphs.
Fundamental algorithms (searching, sorting, hash tables, binary search trees, representing graphs, graph traversals, shortest path, transitive closure, minimum spanning tree, topological sorting, simple numerical algorithms, string and pattern matching).
Algorithm design and use: algorithm design strategies (brute force, greedy, divide and conquer, backtracking, branch and bound, heuristic, stochastic); algorithmic complexity (notation, interpretation, complexity of common algorithms); selecting appropriate data structure and algorithm combinations.

Textbook(s)

Koffman, E.B., Wolfgang, P.A.T. 2010, Data Structures: Abstraction and Design using Java, 3rd, Wiley

Prerequisite(s)

Corequisite(s)

Nil

Teaching method

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment, Continuous assessment, Examination

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.