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COMP1110 Introduction to Software Systems

First Year Course

Offered By Research School of Computer Science
Academic Career Undergraduate
Course Subject Computer Science
Offered in Second Semester, 2012 and Second Semester, 2013
Unit Value 6 units
Course Description

This course introduces students to the tools and techniques for developing software systems of a size and quality of an industrially relevant nature. The course teaches the fundamental strategies of abstraction, decomposition and reuse as methods for constructing such systems. Verification and validation techniques, with an emphasis on testing, are taught as a means to ensure that students are able to deliver software products of the quality required.

In particular, the course will cover: recursive data structures and algorithms; structured data types, abstract data types and their applications; object-oriented programming; and software life-cycle. The course will also introduce some of the theoretical fundamentals that underpins software engineering, including: reasoning about software and its application to specifications, and verification and validation

Learning Outcomes

Upon completion of this course, the student will be able to:

  • Given a specification of the required behavior of a simple program the student should be able to: design, implement, and test a solution.
  • Analyze alternatives among simple data-structures -- lists, tables, and trees, for example -- and select the most appropriate structure for a simple task.
  • Analyze alternatives among simple algorithms -- sorting and searching, for example -- and select the most appropriate for a simple task.
  • Rigorously analyze the correctness of a simple program fragment given a logical description of its required behavior.
  • Apply their knowledge of regular expressions to devise a regular expressions to match target phrases.
  • Apply their knowledge of testing principles to select appropriate test data for an individual software routine.
  • Identify economic implications of the software life cycle to the process of software construction.
Indicative Assessment

Assignment (30%); Lab Tests (20%); Final Exam (50%)

Workload

Thirty one-hour lectures and nine two-hour tutorial/laboratory sessions

Areas of Interest Information Technology
Requisite Statement

COMP1100 or COMP1730

Incompatibility

COMP1510 and COMP2750

Prescribed Texts

Horstmann, Cay Big Java , Wiley, 4th Edition, 2010 - recommended reading

Majors/Specialisations Computer Science
Programs Bachelor of Computational Science (Honours)
Science Group A

The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions