computational-science/ug-it-computational-science

aos

18 September 2017 18 November 2024
Monash University

Undergraduate - Area of Study

Students who commenced study in 2012 should refer to this area of study entry for direction on the requirments; to check which units are currently available for enrolment, refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your area of study.

print version

All areas of study information should be read in conjunction with the relevant course entry in the Handbook. The units listed for this area of study relate only to the 'Requirements' outlined in the Faculty of Information Technology component of any bachelors double degrees.

Managing facultyFaculty of Information Technology
Offered byClayton School of Information Technology
Campus(es)Clayton

Notes

  • Unit codes that are not linked to their entry in the handbook are not available for study in the current year.

Description

Twenty-first century science without computational support is practically unimaginable. Computational analysis and visualisation are the basis to cope with the vast amounts of data that modern science and engineering must process. Computers allow us to perform virtual experiments that are too dangerous, too costly, or plainly impossible to conduct in reality, and using simulation we can even explore hypothetical worlds. The computational science major complements computer science with foundational studies in another field of science and with specialised topics in scientific computation. It aims to produce graduates that combine a scientific education with computational expertise and are adept in trans-disciplinary work.

Sequence requirements

Minor in computational science

Students complete the following units:

  • STA1010 Statistical methods for science or SCI1020 Introduction to statistical reasoning
  • MTH2051 Introduction to computational mathematics or MTH3051 Introduction to computational mathematics
  • FIT3143 Parallel computing
  • FIT3139 Computational science

In addition students will replace:

(a.) MAT2003 Continuous mathematics for computer science with one of:

  • MTH1030 Techniques for modelling
  • ENG1091 Mathematics for engineering (with individual approval)

(b.) FIT2003 IT professional practice with one of:

  • SCI2010 Scientific practice and communication
  • SCI2020 Scientific methodologies and research techniques

Major in computational science

Students complete the minor in computational science (above) plus either a minor in mathematics or a minor in a science area of study, such as biology, physics, chemistry, and biotechnology. Refer to the Science areas of study available for Clayton at http://www.monash.edu.au/pubs/2012handbooks/aos/index-byfaculty-sci.html.

Relevant courses

2380 Bachelor of Computer Science