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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Calculus and Numerical Analysis |
| Learning aims |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Calculus and Numerical Analysis | Code | 614G03002 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
First | Basic training | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Know the basics from mathematics that support the remaining subjects of this degree. | A1 |
B2 B3 B5 B7 B9 |
C3 |
| Identify, model and solve problems from differential and integral calculus. | A1 |
B2 B3 B5 B7 B9 |
C3 |
| Learn the conceptual basis of the mathematical techniques that make up the skeleton of the methods of analysis and modelisation from artificial intelligence. | A1 |
B2 B3 B5 B7 B9 |
C3 |
| To handle the concepts of function of several real variables, gradient of a function and approximation of functions, as well as their application to real problems. | A1 |
B2 B3 B5 B7 B9 |
C3 |
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