Educational guide | ||||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2023_24 | |||||||||||||||||||||||||||||||||||||||
Subject | ADVANCED DATA ANALYSIS TOPICS | Code | 01745014 | |||||||||||||||||||||||||||||||||||||
Study programme |
|
|||||||||||||||||||||||||||||||||||||||
Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
3 | Optional | First | Second |
|||||||||||||||||||||||||||||||||||||
Language |
|
|||||||||||||||||||||||||||||||||||||||
Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | MATEMATICAS |
|||||||||||||||||||||||||||||||||||||||
Coordinador |
|
aquic@unileon.es jgomp@unileon.es |
||||||||||||||||||||||||||||||||||||||
Lecturers |
|
|||||||||||||||||||||||||||||||||||||||
Web | http:// | |||||||||||||||||||||||||||||||||||||||
General description | Data analysis and results interpretation in fundamental Biology and Biomedicine | |||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
|
|||||||||||||||||||||||||||||||||||||||
Competencies |
Type A | Code | Competences Specific |
A18955 | ||
Type B | Code | Competences Transversal |
B5753 | ||
B5754 | ||
B5755 | ||
B5756 | ||
B5757 | ||
B5758 | ||
B5759 | ||
B5760 | ||
B5761 | ||
B5762 | ||
B5763 | ||
B5764 | ||
B5765 | ||
B5766 | ||
B5767 | ||
B5768 | ||
Type C | Code | Competences Nuclear |
C1 | ||
C2 | ||
C3 | ||
C4 | ||
C5 |
Learning aims |
Competences | |||
A18955 |
B5753 B5754 B5756 B5757 B5758 B5759 B5760 B5761 B5762 B5764 B5765 B5766 B5767 B5768 |
C1 C2 C3 C4 C5 |
|
A18955 |
B5753 B5754 B5755 B5756 B5757 B5758 B5759 B5760 B5761 B5762 B5763 B5764 B5765 B5766 B5767 B5768 |
C1 C2 C3 C4 C5 |
|
A18955 |
B5753 B5754 B5755 B5756 B5757 B5758 B5759 B5760 B5761 B5762 B5763 B5764 B5765 B5766 B5767 B5768 |
C1 C2 C3 C4 C5 |
Contents |
Topic | Sub-topic |
Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Problem solving, classroom exercises | 20 | 20 | 40 | ||||||
Personal tuition | 4 | 4 | 8 | ||||||
0 | 15 | 15 | |||||||
Lecture | 6 | 6 | 12 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Description | |
Problem solving, classroom exercises | |
Personal tuition | |
Lecture |
Personalized attention |
|
|
Assessment |
Description | Qualification | ||
20% - 40% | |||
Problem solving, classroom exercises | 30% - 50% | ||
Other comments and second call | |||
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic |
Hardle, W.K. & Simar, L., Applied multivariate statistical analysis, Springer, 2015 Montgomery, D.C., Design and Analysis of Experiments, Wiley, 2013 Quinn, G. & Keough, M.J., Experimental design and data analysis for biologists, Cambridge University Press, 2002 |
Complementary |
Everitt, E. & Hothorn, T., A Handbook of Statistical Analyses Using R, CRC Press, 2009 Milton, J.S., Estadística para Biología y Ciencias de la Salud, McGraw-Hill, 2014 Ruxton, G.D., Experimental design for the life sciences, Oxford University Press, 2016 Wickham, H. & Grolemund, G., R for Data Science, O'Reilly, https://r4ds.had.co.nz/index.html |
Recommendations |
Subjects that are recommended to be taken simultaneously | ||
|