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

Special requirements

• EquipmentDetails - 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).
• SoftwareDetails - 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
• OtherDetails -

  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.

Data and the capacity to process it are the most valuable assets in many fields. Through this subject, you will learn how data is represented, stored, and processed in computer systems.

The subject builds from low level concepts of digital logic, through data representation and computer architecture, to data processing and algorithms. You will develop a high level of technology literacy, including common data types, relationships between data, and how abstraction lets us move from low level hardware concepts to higher level programming concepts.

The subject aims to give you an introductory understanding of the links between logic, reasoning, data, and computation. This includes reasoning about algorithms, and also how programs can operate on concepts such as sets and graphs.

The subject also develops a general awareness of information security, ethical, and legal issues related to information technology.

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%)
• Quizzes (30%)
• Take Home Examination (30%)