Faculty of Information Technology
|Faculty||Faculty of Information Technology|
|Offered||Clayton Second semester 2013 (Day)|
The unit provides an overview of computational science and an introduction to the central methods in this field. While it is not tied to any particular field of scientific study, it requires a general scientific background at advanced introductory level.
Topics include: the role of computational tools and methods in 21st century science; modelling and simulation; continuous vs discrete models; analytic versus numeric models; deterministic versus stochastic models; Monte-Carlo methods; epistemology of simulations; visualisation; high-dimensional data analysis; optimisation; limitations of numerical methods; high-performance computing and data-intensive research.
Each topic area will be introduced with a general overview followed by a discussion of one or a few selected methods in full technical detail. These will be practiced in tutorials and laboratories, which will also acquaint the students with standard software packages for scientific computing (for example, Mathematica, Matlab, Maple, Sage).
Seminars and guest lectures will present case studies and link to current topics in research.
Applications examples will be drawn from Physics, Biology, Bioinformatics, Chemistry, Social Science, etc.
Upon successful completion of the unit students will -
Examination (3 hours): 75%, In-semester assessment: 25%
2 hrs lectures/wk, 3 hrs lab/wk, 1 hr tutorial alternating fortnightly with attendance at Monash University Research Projects Abroad (MURPA) seminars.