From Logic to Data Processing

• • 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.

In an era of rapid technological innovation, data and the capacity to process it are the most valuable assets in many fields. Studying this subject, you will learn how data is represented, stored and processed in computer systems. Extending your high-level technological literacy, the subject introduces you to a way of thinking that uses abstraction to move from low level hardware concepts to higher level programming concepts. Working through the natural progression of related concepts in computer programming, you will first explore how circuits can implement logic, then how logic lets us implement computer architecture (memory, processors), and how assembly language lets us write programs that manipulate data, before circling back to the relationship between programs and logic.

Assessment 1: Computational assessment. Relates to Learning Outcomes 1-4 Assessment 2: Computational assessment. Relates to Learning Outcomes 1-4 Assessment 3: Computational assessment. Relates to Learning Outcomes 1-4 Quizzes: 10 Quizzes at 3% each. Relates to Learning Outcomes 1-4 Take Home Examination: Relates to Learning Outcomes 1-4

• Assessment 1 (10%)
• Assessment 2 (15%)
• Assessment 3 (15%)
• Take Home Examination (30%)
• Quizzes (30%)

Current study term: 23 Oct 22 to 02 Dec 22