CQUniversity Unit Profile
COIT20245 Introduction to Programming
Introduction to Programming
All details in this unit profile for COIT20245 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

In this unit, you will apply computational thinking to develop fundamental algorithms for specified problems and implement them using Python. It is assumed that you have little or no programming experience. You will apply problem-solving techniques such as decomposition and abstraction. You will learn about the parts of a program, including variables, types, control structures and methods. A key aspect of this unit is practical, hands-on development and testing, which you will do in an industry standard Integrated Development Environment (IDE).

Details

Career Level: Postgraduate
Unit Level: Level 8
Credit Points: 6
Student Contribution Band: 8
Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

Anti-requisite: COIT29222 Programming Principles.

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Offerings For Term 3 - 2024

Melbourne
Online
Sydney

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Class and Assessment Overview

Recommended Student Time Commitment

Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

1. Practical Assessment
Weighting: 30%
2. Portfolio
Weighting: 30%
3. Examination
Weighting: 40%

Assessment Grading

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of 'pass' in order to pass the unit. If any 'pass/fail' tasks are shown in the table above they must also be completed successfully ('pass' grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the 'assessment task' section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University's Grades and Results Policy for more details of interim results and final grades.

Previous Student Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from Teaching Team Survey Feedback

Feedback

Students find CodeRunner difficult to use.

Recommendation

Provide additional instruction on answering CodeRunner questions.

Feedback from Teaching Team Survey Feedback

Feedback

Students perform insufficient unit testing.

Recommendation

Create additional unit testing materials and activities.

Feedback from Teaching Team Reflections

Feedback

Insufficient use of Git, the industry-standard version control tool.

Recommendation

Create additional materials to guide students on using Git, for example, to clone a repository that contains the lecture and tutorial code and using Git within an IDE for version control.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Implement, document and refactor functions that use Python's syntax, data representations, scope rules, and procedural concepts including iterations and conditionals
  2. Devise algorithms using computational thinking techniques (decomposition and abstraction) and communicate algorithms (oral and written)
  3. Use industry tools to efficiently and ethically develop quality applications (Integrated Development Environment (IDE), debugger, linter, Generative AI and version control)
  4. Demonstrate secure coding practices (variable typing and scoping, testing and input validation)
  5. Develop modules that implement standard algorithms (searching, sorting), process hierarchical data (JSON), and adhere to design principles (coupling and cohesion) and construct applications that use modules and Python libraries.

The Australian Computer Society (ACS), the professional association for Australia's ICT sector, recognises the Skills Framework for the Information Age (SFIA). SFIA is adopted by organisations, governments, and individuals in many countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles. ACS members can use the tool MySFIA to build a skills profile.

This unit contributes to the following workplace skills as defined by SFIA 8 (the SFIA code is included):

  • Programming/Software Development (PROG)
  • Testing (TEST)
  • Methods and tools (METL)

Alignment of Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4 5
1 - Practical Assessment - 30%
2 - Portfolio - 30%
3 - Examination - 40%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4 5
1 - Knowledge
2 - Communication
3 - Cognitive, technical and creative skills
4 - Research
5 - Self-management
6 - Ethical and Professional Responsibility
7 - Leadership
8 - Aboriginal and Torres Strait Islander Cultures
Textbooks and Resources

Textbooks

Prescribed

Python for Everybody: Exploring Data in Python 3

(2016)
Authors: Charles Russell Severance
CreateSpace Independent Publishing Platform
ISBN: 978-1530051120

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Visual Studio Code (latest version)
  • JDK 21 (available from https://www.oracle.com/java/technologies/downloads or https://jdk.java.net/21/)
  • Apache NetBeans IDE 20 (https://netbeans.apache.org/download/index.html)
  • Python PyPI (pip) packages including black, pylint and requests
  • Python 3.10 (or higher)
Referencing Style

All submissions for this unit must use the referencing style: Harvard (author-date)

For further information, see the Assessment Tasks.

Teaching Contacts
Bruce McKenzie Unit Coordinator
b.mckenzie@cqu.edu.au
Schedule
Week 1 Begin Date: 04 Nov 2024

Module/Topic

1 Introduction & Programming Concepts

Chapter

Events and Submissions/Topic

Week 2 Begin Date: 11 Nov 2024

Module/Topic

2 Python Fundamentals, e.g. Variables, If, For, Functions and Lists

Chapter

Events and Submissions/Topic

Week 3 Begin Date: 18 Nov 2024

Module/Topic

3 Map, Filter, Else, Methods, Not

Chapter

Events and Submissions/Topic

A1 Quiz 1 Conditionals…(6%)

Week 4 Begin Date: 25 Nov 2024

Module/Topic

4 Dictionaries & Modules

Chapter

Events and Submissions/Topic

A1 Quiz 2 Map…(6%)

Week 5 Begin Date: 02 Dec 2024

Module/Topic

5 Nesting

Chapter

Events and Submissions/Topic

A1 Quiz 3 Dictionaries… (6%)

Week 6 Begin Date: 09 Dec 2024

Module/Topic

6 Algorithms

Chapter

Events and Submissions/Topic

A1 Quiz 4 Nesting (6%)

Week 7 Begin Date: 16 Dec 2024

Module/Topic

7 Requests and IDEs

Chapter

Events and Submissions/Topic

A1 Quiz 5 Algorithms (6%)

Vacation Week Begin Date: 23 Dec 2024

Module/Topic

No classes

Chapter

Events and Submissions/Topic

Vacation Week Begin Date: 30 Dec 2024

Module/Topic

No classes

Chapter

Events and Submissions/Topic

Week 8 Begin Date: 06 Jan 2025

Module/Topic

8 Mutability, e.g. modifying lists

Chapter

Events and Submissions/Topic

Week 9 Begin Date: 13 Jan 2025

Module/Topic

9 Sorting

Chapter

Events and Submissions/Topic

Week 10 Begin Date: 20 Jan 2025

Module/Topic

10 Files and Design

Chapter

Events and Submissions/Topic

A2 Project (30%)


Project Due: Week 10 Friday (24 Jan 2025) 11:45 pm AEST
Week 11 Begin Date: 27 Jan 2025

Module/Topic

11 From Python to Java (Part 1)

Chapter

Events and Submissions/Topic

Week 12 Begin Date: 03 Feb 2025

Module/Topic

12 From Python to Java (Part 2)

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 10 Feb 2025

Module/Topic

Chapter

Events and Submissions/Topic

Examination (40%)

Term Specific Information

An in-Class test (40%) will be conducted during the examination week.

Assessment Tasks

1 Practical Assessment

Assessment Title
Quizzes

Task Description

There are five quizzes. You will be assessed on key concepts in programming such as variables, types, control structures and methods. You will apply fundamental algorithms for specified problems and implement them using Python.


Assessment Due Date

Weeks 3, 4, 5, 6 and 7


Return Date to Students

Immediate feedback


Weighting
30%

Assessment Criteria

This assessment consists of small programming activities. Each question will be marked on aspects such as functionality, coding style, documentation of code and testing, error handling, no use of banned language features, variable naming, code reuse and referencing.


Referencing Style

Submission
Online

Submission Instructions
Complete the quiz on the unit Moodle.

Learning Outcomes Assessed
  • Implement, document and refactor functions that use Python's syntax, data representations, scope rules, and procedural concepts including iterations and conditionals
  • Devise algorithms using computational thinking techniques (decomposition and abstraction) and communicate algorithms (oral and written)
  • Use industry tools to efficiently and ethically develop quality applications (Integrated Development Environment (IDE), debugger, linter, Generative AI and version control)
  • Demonstrate secure coding practices (variable typing and scoping, testing and input validation)


Graduate Attributes

2 Portfolio

Assessment Title
Project

Task Description

You will develop a Python application using the language features covered throughout the term. Your application will be modular. A skeleton application will be supplied which will contain a menu to empty functions (stubs). Students will implement the menu options which will include creating a record from user input which will be added to a data structure. Other menu options will be reading/writing the data structure to a file, display all records, search for a record and create a a display of statistics. A full description and skeleton code will be provided on the Moodle site.


Assessment Due Date

Week 10 Friday (24 Jan 2025) 11:45 pm AEST

Week 10


Return Date to Students

Feedback will be provided within 2 weeks of the due date.


Weighting
30%

Assessment Criteria

You will be marked on  functionality, coding style, quality of test plan, documentation of code and testing, ease of use, error handling, no use of banned language features, variable naming, code reuse and referencing, etc.


Referencing Style

Submission
Online

Submission Instructions
Submit artefacts to the unit Moodle website.

Learning Outcomes Assessed
  • Implement, document and refactor functions that use Python's syntax, data representations, scope rules, and procedural concepts including iterations and conditionals
  • Devise algorithms using computational thinking techniques (decomposition and abstraction) and communicate algorithms (oral and written)
  • Use industry tools to efficiently and ethically develop quality applications (Integrated Development Environment (IDE), debugger, linter, Generative AI and version control)
  • Demonstrate secure coding practices (variable typing and scoping, testing and input validation)
  • Develop modules that implement standard algorithms (searching, sorting), process hierarchical data (JSON), and adhere to design principles (coupling and cohesion) and construct applications that use modules and Python libraries.


Graduate Attributes

Examination

Outline
Complete an invigilated examination

Date
During the examination period at a CQUniversity examination centre

Weighting
40%

Length
180 minutes

Minimum mark or grade
40

Exam Conditions
Open Book

Materials
Dictionary - non-electronic, concise, direct translation only (dictionary must not contain any notes or comments).
No calculators permitted
Academic Integrity Statement

As a CQUniversity student you are expected to act honestly in all aspects of your academic work.

Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.

When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.

Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.

As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.

What is a breach of academic integrity?

A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.

Why is academic integrity important?

A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.

Where can I get assistance?

For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.

What can you do to act with integrity?