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Teaching GuideTerm Faculty of Science |
| Grao en Nanociencia e Nanotecnoloxía |
 Subjects |
| Numerical and Statistical Methods |
| Learning aims |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Numerical and Statistical Methods | Code | 610G04013 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Identify the need for the use of numerical and statistical methods in solving models of real problems, especially originated in nanoscience and nanotechnology | A3 A7 |
B2 B4 B5 B7 B8 B9 B10 |
C7 |
| Know and acquire fluency in the handling of numerical methods for the solution of different problems, as well as knowing the conditions to approximate the solution | A3 A7 |
B2 B4 B5 B6 B7 B8 B9 B10 |
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| Have criteria to select the most efficient numerical methods in different problems, especially those related to nanoscience and nanotechnology | A3 A7 |
B2 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
C7 C8 |
| Acquire knowledge about probability and statistical methods of modeling, data analysis, diagnosis and interpretation of results | A3 |
B2 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
C3 C7 C8 C9 |
| Manage software tools that implement the studied methodology and know how to analyze the results | A3 A7 |
B2 B4 B5 B6 B7 B8 B9 B10 B11 B12 |
C3 C7 |
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