STAT2003

STAT2003: Analytics for Experimental and Simulated Data

Science and Engineering

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About this Unit

This unit explains the principles and practice of analysing data that were obtained under controlled conditions, such as a laboratory experiments or field trials. It covers the use of linear, generalised linear and non-linear models, emphasising practical techniques for data analysis. The key concept of 'sources of variability' and Analysis of Variance (ANOVA) serve as guiding principles. The unit also introduces elementary concepts in the design of experiments, such as confounding, and methods for design and analysis of computer simulated experiments.

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Unit Details

Credits25

Contact Hours4 Weekly

Result TypeGrade/Mark

AreaSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS) (1153)

Field of Education010103 Statistics

Handbook View Official Handbook Page →

Tuition Pattern

Computer Laboratory1 x 2 hours weekly
Lecture1 x 2 hours weekly

Prerequisites

PrerequisitesSelect One

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