Module Database
Information for module BIOL1002
This module is available for: The current academic year and The next academic year(provisional)
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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: | BIOL1002(Add to my personalised list) |
| Title: | Quantitative Biology |
| Credit value: | .5 |
| Division: | Division of Biosciences |
| Module organiser: | DR C KAY |
| Organiser's location: | Biological Sciences |
| Organiser's email: | c.kay@ucl.ac.uk |
| Available for students in Year(s): | 1, |
| Module prerequisites: | None |
| Module outline: | An introduction to mathematical and quantitative methods for biology students. The course will be concerned with data collection and processing and will be illustrated with a range of biological examples eg., analysing the results of genetic crosses, investigating the prevalence of parasitic infections in insects, detecting skewed sex ratios and analysis of data collected from questionnaires. |
| Module aims: | The course is designed to develop and/or enhance your skills in experimental design and data handling in a context appropriate for biological sciences. For students who have already completed A\"level Maths or related subjects this course will provide you with the opportunity to apply your knowledge in a specifically biological framework and enable you to develop your skills to a greater depth. |
| Module objectives: | Students will be expected to know how and understand: - imaginative and critical analysis of experimental design, sampling and randomization - probability - null hypotheses and hypothesis testing - variables and populations - measures of central tendency and dispersion - the difference between discrete and continuous data - the binomial, Poisson and normal distributions - the chi-squared test; correlation, regression, t-test, analysis of variance - non-parametric methods - applications of computers in analysis |
| Key skills provided by module: | |
| Module timetable: | https://cmis.adcom.ucl.ac.uk:4443/timetabling/moduleTimet.do?firstReq=Y&moduleId=BIOL1002 |
| Module assessment: | Coursework 30.00%. Unseen two-hour written examination 70.00%. |
| Notes: | To register for this course 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: | 2012-07-17 15:04:03 by |
