Computational Thinking
UndergraduateUNE-ICT1002025
Learn the basics of computational thinking. Cover the fundamentals of programming, sensors, data, and robotics. Start using text-based languages like JavaScript.
Enrol today with instant approval and no entry requirements
- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 12 Oct 2025
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 16 weeks
- Start dates
- 23 June 2025,
- 20 Oct 2025
- Price from
- $2,351
- Upfront cost
- $0
- Loan available
- FEE-HELP available
Computational Thinking
About this subject
Upon completion of this subject, the student will be able to:
- demonstrate an understanding of fundamental principles of procedural programming;
- construct programs using visual and bespoke educational languages for data processing;
- demonstrate an understanding of fundamental concepts of open-loop and closed-loop control of robots and digital devices;
- demonstrate an understanding of principles of mark-up languages and their use in the World Wide Web;
- demonstrate an understanding of the relationship between visual and textual programming languages; and
- demonstrate an understanding of social, ethical and legal issues related to information technology and the history.
- Topics will be available to enrolled students in the subjects Learning Management System site approximately one week prior to the commencement of the teaching period.
Experience the power of programming with an introduction to computational thinking and the fundamental concepts of programming, sensors, data and robotics. Ideal if you have not previously studied programming, or you want to broaden your scope, this subject uses visual languages, JavaScript and programmable game environments to introduce concepts quickly, enabling you to build powerful programs and creations. Using programming concepts as a foundation, you will control bots in games and robot simulations. You will also explore topics in mark-up languages (e.g. HTML), natural language processing (how machines can process human language), and asynchronous programming (how robots, agents, and devices can communicate and coordinate). The subject is designed to prepare you for the study of professional programming languages in computer science or information technology degrees.
Assessment 1: Computational assessment. Relates to Learning Outcomes 1-2;
Assessment 2: Computational assessment. Relates to Learning Outcomes 1-3;
Assessment 3: Computational assessment. Relates to Learning Outcomes 1-4;
Assessment 4: Computational assessment. Relates to Learning Outcomes 1-5;
Quizzes: 10 Quizzes at 3% each. Relates to Learning Outcomes 1-6;
Take Home Examination: Relates to Learning Outcomes 1-6.- Assessment 1 - Computational assessment (10%)
- Assessment 2 - Computational assessment (10%)
- Assessment 3 - Computational assessment (10%)
- Assessment 4 - Computational assessment (10%)
- Quizzes (30%)
- Take Home Examination (30%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
No entry requirements
Additional requirements
- Equipment requirements - Headphones or speakers (required to listen to lectures and other media). Headset, including microphone (highly recommended). Webcam (may be required for participation in virtual classrooms and/or media presentations).
- Software requirements - It is essential for students to have reliable internet access in order to participate in and complete your units, regardless of whether they contain an on campus attendance or intensive school component. For additional information please visit UNE Hardware Requirements: https://www.une.edu.au/current-students/support/it-services/hardware
- Other requirements -
Textbook requirements:
Textbook information is not available until approximately 8 weeks prior to the commencement of the Teaching period.
Students are expected to purchase prescribed material.
Textbook requirements may vary from one teaching period to the next.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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Once you’ve completed this subject it can be credited towards one of the following courses
Diploma in Information Technology
UndergraduateUNE-INF-DIP
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