COMP2711 Computer Programming 2 - Flinders University

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Overview

This topic provides a second-level exploration of programming, with an emphasis on the data structures that frequently occur in programming problems and the algorithms for traversing and manipulating such structures. The syllabus is built around the theme of data abstraction using object- oriented programming; the main working language is C++, … For more content click the Read More button below.

This topic provides a second-level exploration of programming, with an emphasis on the data structures that frequently occur in programming problems and the algorithms for traversing and manipulating such structures. The syllabus is built around the theme of data abstraction using object- oriented programming; the main working language is C++, The topic includes an introduction to C++ for students already familiar with another language such as Java.

Specific areas covered include:

Basic data representations, including arrays, records, and strings
Key object-oriented computational techniques, including exception handlers, inheritance, recursion, and dynamic memory allocation
Fundamental linked data structures such as lists, stacks, trees, and graphs, together with the pointer and reference operations for manipulating them
Algorithmic strategies, including brute force, divide-and-conquer, and branch-and-bound approaches
An introduction to algorithmic analysis, including complexity classes and an appreciation for space-time trade-offs
Fundamental computing algorithms, including a variety of common searching, sorting, and traversal algorithms

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Tuition pattern

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Aims

This topic aims to equip students with the skills needed to solve programming problems of moderate complexity, such as applications that provide an interface to real-world data. The focus is on object-oriented techniques for representing and manipulating program data using either predefined components or custom-designed components.

Learning outcomes

On completion of this topic you will be expected to be able to:

Understand and appropriately use the language and terminology of data abstraction and object-oriented programming

Describe common data structures and choose appropriate data structures for specific application needs

Write code to build and manipulate common linked data structures

Understand and appropriate use the language and terminology of algorithm analysis

Determine the time and space complexity of simple algorithms

Describe the advantages and disadvantages of different algorithmic approaches in specific application contexts

Implement common searching and sorting algorithms

Read C++ programs and use C++ to solve simple data abstraction problems

Assessments

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Requisites information

Pre-requisites:

Anti-requisites:

Handbook

Computer Programming 2

COMP2711