Computational Thinking

• • 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.

No eligibility 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.

This subject introduces computational thinking and fundamental concepts of programming, sensors, data, and robotics for students who might not have experienced the joy of programming before. It uses visual languages and its own technology to introduce concepts quickly, and enable you to build powerful programs and creations. In the latter part of the subject, you will make the transition to working in text-based languages (e.g., JavaScript). Students are also introduced to mark-up languages (e.g., HTML), connectivity, and the Internet of Things.

The subject is designed to prepare your 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 (10%)
• Assessment 2 (10%)
• Assessment 3 (10%)
• Assessment 4 (10%)
• Quizzes (30%)
• Take Home Examination (30%)

Current study term: 24 Oct 21 to 04 Feb 22

Next study term: 26 Jun 22 to 23 Sep 22