Information for module BIOSG008
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:||BIOSG008(Add to my personalised list)|
|Title:||Analytical Tools in Biodiversity, Evolutionary and Conservation Research|
|Division:||Division of Biosciences|
|Module organiser:||Prof Francois Balloux|
|Organiser's location:||Darwin Building|
|Available for students in Year(s):|
|Module prerequisites:||Available only to students on the MRes Biodiversity, Evolution and Conservation|
|Module outline:||The module is divided in five blocks that will cover (1) statistics and using the R programming environment, (2) evolutionary genetics/genomics, (3) biodiversity, (4) applied conservation and (5) macroecology and GIS. Each topic will be covered in two-week sessions, with the first consisting of lectures and practical sessions and the second including independent problem work. This course is synchronised with BIOSG007(Current Topics in Biodiversity, Evolution and Conservation 2013-14), with the seminar and discussion series focusing on related issues to the ones covered during the lectures and practicals.|
|Module aims:||The aim of this module is to provide the students of the MRes in Biodiversity, Evolution and Conservation with the necessary competencies, expertise and tools to be able to tackle typical questions and challenges asked from a qualified evolutionary biologist; these obviously including the tasks they will have to fulfill during their projects. This module will provide an overview of contemporary quantitative approaches used in biological sciences. Students will learn to extract and analyse evidence from a variety of sources through interactive workshops using the skills that have acquired to address specific case studies.|
|Key skills provided by module:||Students will be able to design meaningful experiments and perform appropriate statistical analyses on a wide variety of biological data in the R environment. They will additionally learn some basics in the use of more advanced statistical and computational analyses specific to the analysis of different classes of biological data. They will also acquire the necessary skills to build and use databases and perform Geographic Information Systems (GIS). Concomitantly, they will acquire their ability to critically read and interpret advanced research in evolutionary biology, biodiversity and conservation.|
|Module assessment:||Workshop 2 (10 worksheets) 20.00%.|
Scientific Report 1 (2,000 words) 30.00%.
Scientific Report 2 (2,000 words) 30.00%.
Workshop 1 (10 worksheets) 20.00%.
|Taking this module as an option?:|
|Link to virtual learning environment(registered students only)||https://moodle.ucl.ac.uk/course/view.php?id=17781|
|Last updated:||2014-01-30 11:51:24 by|