Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
Subjects |
Calculus and Numerical Analysis |
Learning aims |
Identifying Data | 2022/23 | |||||||||||||
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 / results | ||
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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