| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| MULTI-CRITERIA DECISION MAKING SYSTEMS |
| Methodologies |
| IDENTIFYING DATA | 2019_20 |
| Subject | MULTI-CRITERIA DECISION MAKING SYSTEMS | Code | 17685108 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | First | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Description | |
| Introductory activities | Presentation of the teachers, the goals of the course and the evaluation procedure. |
| Lecture | Each week some lectures will be given, with materials available in advance in Moodle. |
| Presentations / oral communications | The student will collect research papers about a certain topic (proposed by the teacher) and will make an overview and comparison. The resulting report will be evaluated. The work will also be explained in an oral presentation to the rest of students. |
| IT-based practicals in computer rooms | Students will solve practical case studies using public software tools, or programming some algorithms. |
| IT-based practicals | The student must solvesome exercises in class (in the lab). A report will be delivered by the student, in some exercises. |
| Personal attention | The student will attend questions at her office (previously arrangement by email). Questions can also be solved by email directly. |
