302956 (v.1) Computer Science 651

Area:	Department of Computing
Credits:	25.0
Contact Hours:	3.0

The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline.

Seminar:	1 x 3 Hours Weekly
Other Requisite(s):	Admission: to the Master of Science (Computing Science).

Syllabus:	Scientific discovery and the benefits of research and development. Acquiring research related information. Designing a research project - literature reviews, critical appraisal of previous work, formulating a research project and hypothesis generation, the scientific method, elements of good research proposals, using computers in research, LaTeX document processing, bibtex, style files, inclusion of graphics. Thinking critically about research in science. Empirical science - induction, deduction, verification, theory dependence of observation, the complexity of making theoretical choices, falsification as an approach. New approach to science - paradigms of science, lies, deception and fraud in research. Numerical data analysis - data types, descriptive statistics, probability distributions, precision and accuracy, error analysis, sampling theorems, significant and insignificant figures, strategies for correct data analysis.

To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement.

Field of Education:	20199 Computer Science not elsewhere classified
Funding Cluster:	06 - Computing, Built Environment, Health
SOLT (Online) Definitions*:	Informational *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark
Availability
Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.

302956 (v.1) Computer Science 651

Availability