Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
Subjects |
Calculus and Numerical Analysis |
Methodologies |
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Identifying Data | 2024/25 | |||||||||||||
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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