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.

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).