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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Calculus and Numerical Analysis |
| Methodologies |
| 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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| Methodologies | Description |
| ICT practicals | In these lectures students will solve problems related with the subject contents using Python. |
| Problem solving | In these lectures students will solve problems related with the subject contents by hand, with the aim of easing concepts and methods comprehension. |
| Objective test | To evaluate learning outcomes, there will be a written test on the dates set by the Faculty Board. The test will be oriented essentially to problem solving. |
| Guest lecture / keynote speech | During these lectures, the teacher will present the subject contents making use of examples to help to the comprehension of the different concepts and methods. |
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