INTRODUCTION TO PROGRAMMING

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Overview

In this subject you will be introduced to the steps involved in designing and creating software solutions for a range of practical problems. To enable you to design and implement solutions, you will be introduced to methods for analysis of task definitions, algorithm design, and the writing of program source code. To develop your problem-solving skills, a variety of problems, with increasing complexity, will be presented for your practice. The Python programming language will be used as the program language for implementing software solutions. The strengths of Python, in particular its support of rapid prototyping of ideas, will be exploited to facilitate the development of your problem-solving skills and effective software development practice.

Portfolio

Office of the Provost

School

Subject coordinator

Nasser Sabar

Subject type

Postgraduate

Year level

Year Level 4 - UG/Hons/1st Yr PG

AQF level

Level 8 - Graduate Certificate

Available as elective

Available to study abroad / exchange students

Yes

Capstone subject
Capstones provide students with a way of integrating and applying knowledge and skills gained throughout their course.

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Subject instances

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Learning resources

Recommended - Book - Python for Everybody: Exploring Data Using Python 3

Recommended - Book - Python Programming: An Introduction to Computer Science

Career ready

Work based learning (placement):No

Subject intended learning outcomes

On successful completion you will be able to:

Analyse data processing problems to identify the data and high-level processing involved.

Design appropriate computational solutions through application of basic programming constructs of sequence, selection, and iteration.

Solve batch data processing problems using basic data structures such as lists and dictionaries.

Solve computational problems by implementing understandable and maintainable code in the Python programming language, making effective use of functions, objects and comments.

Design and communicate effective algorithmic solutions to complex domain-specific task definitions.

Handbook