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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Algorithms |
| Methodologies |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Algorithms | Code | 614G01011 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
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| Methodologies | Description |
| Guest lecture / keynote speech | Lectures where theoretical knowledge is taught using various resources: blackboard, slides, projections, demos and virtual resources. They may include guest lectures by invited speakers. |
| Short answer questions | Tests that consist in solving exercises involving the execution of cases using the algorithms studied in the course, or their adaptation to other situations. These tests are assessed. |
| Laboratory practice | Practicals designed by the professor, based in the knowledge acquired by the student in the keynote speeches, and which therefore complement them. The students will develop this work in groups of two throughout the course, and individually in a final practical that is included in the objective test. The practicals will consist in the implementation of programs that illustrate problems related with the course contents. A report of results will be required for assessment. During the hours assigned to each practical, the reports of the previous practical will be assessed. |
| Supervised projects | Supervised projects proposed by the professor and developed by the students, either in groups or individually. |
| Problem solving | Examples will be developed on the theoretical contents of each part of the course, and doubts will be solved. The resolution of some of the problems will be assessed individually. |
| Objective test | Knowledge of the theoretical and practical contents of the course will be assessed, as well as the final individual practical assignment. |
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