- Code VCUG1001
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Vice Chancellor Undergraduate
- Academic career Undergraduate
- Mode of delivery Blended
The goal of this VC course is to expose ANU students from all disciplines to computational thinking. Computing is transforming business, science and society, making it possible to represent vast amounts of knowledge in digital form (big data) and enabling algorithms to process this knowledge with unprecedented accuracy and speed. Underlying this are the fundamental - and beautiful - ideas of computational thinking: viewing problems and processes through the lens of algorithms and structured data, and tackling complexity through procedural abstractions like iteration and recursion. Students of the course will learn the fundamental skills of applying computational thinking and practical computing, through exploring the impact that computing can have in disciplines such as medical, physical and social sciences. The course offers a breadth and perspective on computing beyond what is provided by focused foundational courses in computer science and other computing-related disciplines.
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Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Band 2
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.