CITS2200 Data Structures and Algorithms

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Details for undergraduate courses
  • Level 2 core unit in the Computer Science major sequence
  • Level 2 core unit in the Software Engineering specialisation in the Engineering Science major sequence
  • The area of knowledge for this unit is Mathematical and Physical Sciences
  • Category B broadening unit for students
  • Level 2 elective
Content
At the core of most computer applications is the storage and retrieval of information. The way that the stored data is structured has a strong impact on what can be retrieved, how quickly it can be retrieved and how much space it occupies. The use of generic structures, or abstract data types (ADTs), to encapsulate the data also facilitates software engineering principles of independent modification, extension and re-use. This unit studies the specification, implementation and time-and-space performance of a range of commonly used ADTs and corresponding algorithms in an object-oriented setting.
Outcomes
Students are able to (1) undertake problem identification via abstraction; (2) describe common and important data structures and algorithms in the computing discipline; (3) implement a range of data structures and information literacy algorithms in a high-level programming language; (4) apply existing data structures and algorithms from pre-built software libraries; (5) design data structures and algorithms; and (6) critically assess the performance of different data structures and algorithms.
Assessment
Indicative assessments in this unit are as follows: (1) mid-semester test; (2) laboratories and project; and (3) final examination. Further information is available in the unit outline.

Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
Unit Coordinator(s)
Professor Amitava Datta
Unit rules
Prerequisites:
CITS1001 Software Engineering with Java (formerly Object-oriented Programming and Software Engineering)
and
(Mathematics Methods ATAR
or
MATH1721 Mathematics Foundations: Methods
or
equivalent
or
higher)
Advisable prior study:
an additional programming unit
Contact hours
61 (lectures: 26 hours; practical classes: 11 hours; labs: 24 hours)
Unit Outline
Semester 1_2019 [SEM-1_2019]
Texts

Weiss, M. A. Data Structures and Problem Solving Using Java, 4th edn: Addison-Wesley 2010

Cormen, T. H. et al. Introduction to Algorithms, 3rd edn: MIT Press 2009

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