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Learning Outcomes

TopThis module will introduce the entire biostatistical data analysis workflow in public health, from data management to data analysis and the interpretation of results, translating data into reliable and consumable information for knowledge discovery in public health. Particular emphasis on the application of regression models in public health without the mathematical details and the proficiency in using statistical software (SPSS) to perform data analysis, integrating biostatistics, computer applications and public health for improving the health of mankind.

Prerequisites

TopAny of the following:
ST1232 Statistics for Lifesciences,
BN2102 Bioengineering Data Analysis,
DSC Business Analytics - Data and Decisions, OR
SC3209 Data Analysis in Social Research.

Schedule

TopPlease note that students are required to attend the Thursdays lab sessions from Week 1 onwards.

Preclusions

TopNIL

Workload

Top2-0-2-1-4

Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week