About The Art of Computing


The goal of this course is to teach ANU students from all disciplines 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.

Acknowledgements

Here is an incomplete list of ANU students who have contributed to the design and implementation of the Art of Computing.

  • Snap! lab implementation and improvements

    • Joshua Chia (S1 2014)
    • Rachael McNaughton (S1 2014)
    • Andrew Wrigley (S1 2014)
    • Nicholas Donaldson (Summer 2014)
    • Rohit Ram (S2 2015)
  • 2015 Tutors

    • Caitlin Macleod
    • Arthur Maheo
    • Benjamin Roberts
  • 2016 Tutors

    • Benjamin Wang
    • Rohit Ram

Professor Pascal van Hentenryck was instrumental in designing and implementing course content, he lectured the 2015 edition (under VCUG1001).

11 August, 2015
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2016 S1 lectures schedule:
  • Monday 1-2pm (RS Chem T)
  • Tuesday 9-10am (ENGN T)
  • Thursday 12-1pm (JD101)

Note: TBD.

Quick-access class pointers: TBC