Understand the statistical analysis that commonly accompanies publication of experimental data in scientific literature. Perform the appropriate statistical analysis for a given set of experimental data. Estimate a parameter of interest by performing a suitable fitting to a set of experimental data. Create a suitable mathematical model based on the available experimental data.
The module is divided in two parts. The first part will be taught by Chen Peiyi of the Department of Statistics and Applied Probability while the second part will be taught by Dr Alberto Corrias of the Department of Bioengineering.
Some of the sessions will be conducted in the computer cluster rooms (block E2, level 3). For those sessions, the class is divided in 4 groups. Please check the IVLE to see which group you belong to and the Lesson Plan to check the exact locations and timings.
The assessment is a combination of Continuous Assessment (CA) and final exam a
CA of part 1: 20%
CA of part 2: 20%
Final exam: 60%
The nature of the CA will be specified by each lecturer in due course. The final exam will be closed book. No aid‐sheet will be allowed. Statistical tables will be provided if necessary. Please bring your calculator, however please note that programmable calculators will NOT be allowed.
We hope you will enjoy BN2102!
The teaching staff.
Courtney from Study Moose
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