Module code: BIS7016-B
To provide a comprehensive understanding of experimental research planning, design and execution. To develop a comprehensive knowledge and understanding of major quantitative and statistical methods used in experimental design and analysis of the experimental data. To develop student autonomy in experimental research, design, planning and execution.
Chemical, biological and physical safety regulations and practices in biomedical research, human ethics, work with laboratory animals, scientific method, hypothesis and problem driven research in the biomedical arena, design of individual experiments and research projects, project time management and budgeting, experimental protocols, project grant applications, project report writing, Good Laboratory Practices. Quantitative and statistical methods in experimental design and analysis of the experimental data, types of data and different statistical tests, probability and sample distributions: hypothesis testing, statistical testing using t-test, simple ANOVA, non-parametric statistical tests, correlations, chi-square test, the criteria for selecting an appropriate statistical test to use, the potential misuse of statistics, power analysis and sample size in experimental design, visual representation of data, brief introduction into packages used for quantitative and statistical data analysis.
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