Undergraduate | UNE-ICT101 | 2024
From Logic to Data Processing
Course information for 2024 intakeView information for 2023 course intake
Get an introductory understanding of the links between logic, reasoning, data, and computation. Learn how data is represented, stored, and processed in computer systems.
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- Study method
- 100% online
- 100% online
- Entry requirements
- No ATAR needed,
- No prior study
- 16 weeks
- 26 Feb 2024,
- 21 Oct 2024
From Logic to Data Processing
About this subject
Upon completion of this subject, students will be able to:
- explain how data and information is represented within a computer system and how it is manipulated and processed;
- demonstrate an understanding of layers of abstraction and how computer architectures are built from underlying digital components
- explain the fundamental principles of data structures, data representations, data storage and relationships between data; and
- demonstrate an understanding of the relationships between logic, reasoning, data, and programs.
- 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.
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.
Assessments 1 - 3: Computational assessments. 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 - Computational assessment (10%)
- Assessment 2 - Computational assessment (15%)
- Assessment 3 - Computational assessment (15%)
- Take Home Examination (30%)
- Quizzes (30%)
For textbook details check your university's handbook, website or learning management system (LMS).
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- 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 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 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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