PROGRAMMING ENVIRONMENT

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Overview

In this subject you are introduced to the steps involved in designing and creating a software solution to simple real-life problems. To enable students to design a program, the subject introduces the way to break down the problems into smaller parts and analyse them methodically by using simple techniques such … For more content click the Read more button below.

In this subject you are introduced to the steps involved in designing and creating a software solution to simple real-life problems. To enable students to design a program, the subject introduces the way to break down the problems into smaller parts and analyse them methodically by using simple techniques such as drawing flowcharts. You will be introduced to the Python programming language as a means of creating executable program code to implement working software solutions.

Portfolio

Office of the Provost

School

Subject coordinator

Nasser Sabar

Subject type

Undergraduate

Year level

Year Level 1 - UG

AQF level

Level 5 - Diploma

Available as elective

Yes

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 Programming: An Introduction to Computer Science

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

Career ready

Work based learning (placement):No

Graduate capabilities

COMMUNICATION - Communicating and Influencing

COMMUNICATION - Digital Capability

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Creativity and Innovation

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

Subject intended learning outcomes

On successful completion you will be able to:

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

Apply the 3 basic programming constructs of sequence, selection, and iteration to design computational solutions.

Use basic data structures such as lists and dictionaries to solve batch data processing problems.

Implement executable code in the Python programming language to solve computational problems.

Learning activities

Two 1-hour lectures and one 2-hour practical coding lab per week.

Enrolment rules

Special conditions

Requisite rules

Students cannot be enrolled in the following courses: SHCEB, SHCE, SHEEE, SHENIB and SHENI.

Handbook