Information for module biol2015
This module is available for: The current academic year and The next academic year(provisional)
If you're a member of UCL you can add this module to your personalised course list
This information is for guidance only. If you are a UCL undergraduate interested in studying one of these courses, you must seek permission from both the providing department and your 'home' department. Appearance in this database is not a guarantee that a course is running in any particular academic year.
|Module code:||BIOL2015(Add to my personalised list)|
|Division:||Division of Biosciences|
|Module organiser:||Dr Max Reuter|
|Organiser's location:||Biological Sciences|
|Available for students in Year(s):||2,|
|Module prerequisites:||BIOL1002, STAT6101 or equivalent|
|Module outline:||Topics to be covered: 1. Statistics (12 lectures + 6 x 1 hour practicals) - linear models - generalised linear models - multivariate statistics - maximum likelihood and Bayesian approaches - resampling and permutation - experimental design and power analysis 2. Modelling (4 lectures +2 x 1 hour practicals) - dynamical models: population dynamics and epidemiology - population and quantitative genetics - game theory - optimisation - simulation approaches 3. Bioinformatics (4 lectures +2 x 1 hour practicals) - biological databases - methods in DNA, RNA and protein analysis|
|Module aims:||The aim of this course is to give 2nd year students a more advanced understanding of the quantitative approaches used in contemporary biological sciences.|
|Module objectives:||Students should be able to design meaningful experiments and perform appropriate statistical analyses on a wide variety of biological data. In terms of mathematical modelling, students will acquire a basic knowledge of modelling and simulation approaches used in different circumstances. They will be able to read and understand theoretical papers, as well as have the necessary foundation to start building simple models themselves. In bioinformatics, finally, students will learn about the kinds of data that are publicly available and the ways to access them. They will also learn about current computational approaches used to analyse different classes of data.|
|Key skills provided by module:||This course will provide you with computational and analytical skills that will be useful across many disciplines of biology and other branches of science. You will also learn how to interpret and present data and models and improve your general computer literacy.|
|Module assessment:||Scientific report two (2,500 words) 25.00%.|
Scientific report one (2,500 words) 25.00%.
Nine 30 minute in-course tests 50.00%.
|Notes:||To register for this module for the 2012/13 academic year please ensure you meet the prerequisites listed above (where applicable) and, if you do, select it using Portico and await Teaching and Parent Department approval.|
|Taking this module as an option?:|
|Link to virtual learning environment(registered students only)|
|Last updated:||2012-08-29 16:54:49 by|