Teaching GuideTerm
Faculty of Computer Science
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Grao en Enxeñaría Informática
 Subjects
  Algebra
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Identifying Data 2020/21
Subject (*) Algebra Code 614G01010
Study programme
Grao en Enxeñaría Informática
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
First Basic training 6
Language
Spanish
English
Teaching method Hybrid
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Computación
Coordinador
Vieites Rodriguez, Ana Maria
E-mail
ana.vieites@udc.es
Lecturers
Aguado Martin, Maria Felicidad
Barja Pérez, José María
Costoya Ramos, Maria Cristina
Doncel Juarez, Jose Luis
Perez Vega, Gilberto
Souto Salorio, Maria Jose
Suárez Canedo, Emilio José
Vidal Martin, Concepcion
Vieites Rodriguez, Ana Maria
E-mail
felicidad.aguado@udc.es
j.m.barja@udc.es
cristina.costoya@udc.es
jose.luis.doncel@udc.es
gilberto.pvega@udc.es
maria.souto.salorio@udc.es
emilio.scanedo@udc.es
concepcion.vidalm@udc.es
ana.vieites@udc.es
Web http://campusvirtual.udc.es/moodle
General description Algebra is a Q2-course of the basic training module of Computer Engineering Degree. It is intended for acquiring skills in formal and abstract thinking, which will be essential in the performance of the students' future professions. The main purpose of this subject is to introduce concepts that are needed for the development of more specific subjects such as Computer Security, Computer Graphics, Artificial Vision, Digital Image Processing, and Networks. We are concerned with a computational approach emerging from the interplay of Algebra and Computer Engineering. Therefore, special emphasis is given to the algorithmic approach of the methods that are explained in this course.
Contingency plan 1. Modifications to the contents The contents will not be modified unless, due to time restrictions, they ought to be reduced; in that case students will be given notice via the University virtual platforms (Moodle, Teams). 2. Methodologies *Teaching methodologies that are maintained Guest lecture/keynote speech: elaborated notes of every chapter will continue to be delivered via the University virtual platforms (Moodle, Teams). Laboratory practice: using the University virtual platforms (Moodle and Teams), collections of exercises will be provided as well as their solutions. Seminar: due to the absence of face-to-face classes, students can make inquiries about theoretical concepts and/or exercises through the University virtual platforms (Moodle, Teams). *Teaching methodologies that are modified Guest lecture/keynote speech: face-to-face classes become asynchronous classes (in the Moodle platform, students will have explanatory videos about the most difficult parts of the theory followed by complementary exercises) and synchronous classes using Teams (the contents of those classes will be provided at the end of each class). Objective test: it will be maintained, although the requirement of a minimum score will be scrapped. It will take place via the University virtual platforms. Its value is 80% of the final grade, and if conditions allow to, the contents will be divided in two parts, each of which will be evaluated in 2 different tests (the second one will take place on the fixed date for the final exam). Laboratory practice: there will be asynchronous classes as well as synchronous through the Teams platform. The students will have access to collections of exercises with solutions detailed. 3. Mechanisms for personalized attention to students: Weekly support will be given to each group through the virtual platform Teams. Individual tutorial sessions can also be scheduled by the academic staff members in order to solve any particular questions related to the subject. 4. Modifications in the evaluation *Evaluation observations: As it consists in a summative evaluation, no minimum score is required. In the first opportunity, each of the 2 tests mentioned above will be a 40% of the final grade. The student needs to obtain 5 points or more as a final score to pass the subject. Students that fail to pass the subject during the first opportunity, will have a second chance which consists in a unique test where the student can obtain at most the score of the final face-to-face test (80%). 5. Modifications to the bibliography or webgraphy Since most of the suggested references of the basic bibliography can be found as a pdf online version, the bibliography will not be modified.
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
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