Teaching GuideTerm Faculty of Science |
Grao en Bioloxía |
Subjects |
Data Analysis in Biology |
Methodologies |
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Identifying Data | 2021/22 | |||||||||||||
Subject | Data Analysis in Biology | Code | 610G02044 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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Methodologies | Description |
Supervised projects | Students should develop one or two practical works related to the subject contents. These works could be defended during a pre-established seminar. |
ICT practicals | Practical classes in the computer lab conducted to provide some knowledge on the use of statistical software (mainly the R-commander package). These classes are specifically designed to learn the elementary use of the package and to interpret its outputs. Use of software helps to focus attention on the statistical issues rather than on the calculation. |
Problem solving | Solving real problems in order to use statistical techniques fluently, empashizing their practical application. |
Guest lecture / keynote speech | Lectures where the basic theoretical principles of the subject are presented together with properly illustrated practical examples. |
Short answer questions | Multiple choice and short answer questions to assess the progress for each unit of the subject. They will be online using moodle.udc.es. |
Objective test | Final exam on the theoretical and practical contents of the subject. This exam consists in answering a list of short questions and/or solving some longer exercises in a reasoned way. |
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