1. General information
Course:
COMPUTER ENGINEERING
Code:
56304
Type:
BASIC
ECTS credits:
6
Degree:
418 - UNDERGRAD. IN INDUSTRIAL ELECTRONICS AND AUTOMAT. ENGINEERING
Academic year:
2023-24
Center:
303 - E.DE INGENIERÍA INDUSTRIAL Y AEROESPOACIAL DE TOLEDO
Group(s):
41
Year:
1
Duration:
First semester
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
N
Web site:
Bilingual:
N
Lecturer:
JUAN MORENO GARCIA
- Group(s):
41
Building/Office
Department
Phone number
Email
Office hours
Sabatini / 1.56
TECNOLOGÍAS Y SISTEMAS DE INFORMACIÓN
926051653
juan.moreno@uclm.es
Lecturer:
FRANCISCO MOYA FERNANDEZ
- Group(s):
41
Building/Office
Department
Phone number
Email
Office hours
Sabatini 3ª planta
TECNOLOGÍAS Y SISTEMAS DE INFORMACIÓN
926295483
francisco.moya@uclm.es
Lecturer:
ENCARNACION MARIA MOYANO AVILA
- Group(s):
41
Building/Office
Department
Phone number
Email
Office hours
Sabatini / 1.54
TECNOLOGÍAS Y SISTEMAS DE INFORMACIÓN
926051487
encarnacion.moyano@uclm.es
Lecturer:
DAVID MUÑOZ VALERO
- Group(s):
41
Building/Office
Department
Phone number
Email
Office hours
Sabatini / 1.54
TECNOLOGÍAS Y SISTEMAS DE INFORMACIÓN
David.Munoz@uclm.es
2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
The skills provided to the student in this subject give him the ability to face and solve basic problems that have to do with Information and Communication Technologies, both during the course of the degree in the subjects that make use of this type of technologies as well as during the development of their profession where Information and Communication Technologies currently play a predominant role.
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| CB02 | Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area. |
| CB03 | Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues. |
| CB04 | Transmit information, ideas, problems and solutions for both specialist and non-specialist audiences. |
| CB05 | Have developed the necessary learning abilities to carry on studying autonomously |
| CEB03 | Basic knowledge of the use and programming of computers, operating systems, databases and software applied to engineering. |
| CG03 | Knowledge of basic and technological subjects to facilitate learning of new methods and theories, and provide versatility to adapt to new situations. |
| CG04 | Ability to solve problems with initiative, decision-making, creativity, critical reasoning and to communicate and transmit knowledge, skills and abilities in the field of industrial engineering. |
| CT02 | Knowledge and application of information and communication technology. |
| CT03 | Ability to communicate correctly in both spoken and written form. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Basic knowledge of the use and programming of computers, operating systems, databases and software applied to engineering. | |
| Knowledge of information and communication technology (ICT). | |
| Knowledge of basic and technological subjects, leading to undertsanding of new methods and theories, facilitating the versatility to adapt to new situations. | |
| Additional outcomes | |
| Not established. |
6. Units / Contents
-
Unit 1: Computer basis.
-
Unit 2: Operating systems and databases.
-
Unit 3: Introduction to computer programming.
-
Unit 4: Data structures in programming.
-
Unit 5: Problem solving methods.
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Combination of methods | CB02 CB03 CB04 CB05 CEB03 CG03 CG04 CT02 CT03 | 1.12 | 28 | N | N | The theoretical classes will introduce concepts of the program with the expository method that will be reinforced with the study and learning of cases, works and examples that reinforce their understanding. Group tutorials will be held. | |
| Problem solving and/or case studies [ON-SITE] | Combination of methods | CB02 CB03 CB04 CB05 CEB03 CG03 CG04 CT02 CT03 | 0.48 | 12 | N | N | The resolution of exercises and problems will allow applying the theoretical concepts learned. | |
| Class Attendance (practical) [ON-SITE] | Practical or hands-on activities | CB02 CB03 CB04 CB05 CEB03 CG03 CG04 CT02 CT03 | 0.6 | 15 | N | N | The practice sessions will be held fortnightly in computer rooms, with a duration of 2 hours. | |
| Formative Assessment [ON-SITE] | Assessment tests | CB02 CB04 CB05 CEB03 CG04 CT03 | 0.2 | 5 | Y | Y | The evaluation of the subject will be carried out. | |
| Study and Exam Preparation [OFF-SITE] | Self-study | CB02 CB03 CG03 CG04 CT02 | 3.6 | 90 | N | N | The subject requires a considerable amount of autonomous work. | |
| Total: | 6 | 150 | ||||||
| Total credits of in-class work: 2.4 | Total class time hours: 60 | |||||||
| Total credits of out of class work: 3.6 | Total hours of out of class work: 90 | |||||||
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
8. Evaluation criteria and Grading System
| Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
| Assessment of activities done in the computer labs | 30.00% | 30.00% | The practices developed in the computer room will be evaluated through partial tests. To pass them, it will be necessary to obtain 4 points out of 10. Non-continuous assessment students will be examined about this part in the final test date. |
| Final test | 70.00% | 70.00% | It will consist of an exam that covers both theoretical and practical concepts. To pass it, it will be necessary to obtain 4 points out of 10. It will be held on the date of the ordinary/extraordinary call. |
| Total: | 100.00% | 100.00% |
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).
Evaluation criteria for the final exam:
-
Continuous assessment:Students who pass the partial tests will not have to examine their content in the ordinary or extraordinary call. Those who do not pass them, will be able to recover them on the final test date.
The grade to pass the course will be greater than or equal to 5.
The evaluation grades obtained are not kept for other academic courses. -
Non-continuous evaluation:Students who have not taken or passed the partial tests (considered non-continuous evaluation) may be examined in both parts of the evaluation system in the ordinary or extraordinary call on the date established for the final exam.
The grade to pass the course will be greater than or equal to 5.
The evaluation grades obtained are not kept for other academic courses.
Specifications for the resit/retake exam:
Students who have not passed the ordinary call may be examined in one or both parts of the evaluation system, keeping the grade of that part with a grade equal to or greater than 4 of the ordinary call.
The grade to pass the course will be greater than or equal to 5.
The evaluation grades obtained are not kept for other academic courses.
The grade to pass the course will be greater than or equal to 5.
The evaluation grades obtained are not kept for other academic courses.
Specifications for the second resit / retake exam:
The evaluation will be carried out through the tests corresponding to the evaluation system, without considering qualifications in previous calls.
The evaluation grades obtained are not kept for other academic courses.
The evaluation grades obtained are not kept for other academic courses.
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 30 |
| Problem solving and/or case studies [PRESENCIAL][Combination of methods] | 10 |
| Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] | 15 |
| Formative Assessment [PRESENCIAL][Assessment tests] | 5 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 90 |
| Global activity | |
|---|---|
| Activities | hours |
| General comments about the planning: | The planning guideline may be modified if the particular circumstances so advise. |
10. Bibliography and Sources
| Author(s) | Title | Book/Journal | Citv | Publishing house | ISBN | Year | Description | Link | Catálogo biblioteca |
|---|---|---|---|---|---|---|---|---|---|
| Comunidad Python | Documentación de referencia de Python | 2022 | Incluye toda la documentación del lenguaje. | http://docs.python.org/ | |||||
| Departamento de informática. Universidad Oviedo | Fundamentos de informática | 2015 | Libro docente que incluye fundamentos básicos de informática e iniciación a la programación con Python. | http://di002.edv.uniovi.es/~villar/Jose_R._Villar/Teaching_Resources/Entries/2016/9/14_Computer_Basics_2016-17,_EPM_files/Fundamentos-Informatica.pdf | |||||
| Downey, Allen y otros | Aprenda a pensar como un programador con Python | Green Tea Press | 0-9716775-0-6 | 2002 | Libro introductorio en castellano, de contenido libre. | https://argentinaenpython.com/quiero-aprender-python/aprenda-a-pensar-como-un-programador-con-python.pdf | |||
| Forouzan, Behrouz | Introducción a la ciencia de la computación | Thomson | 970-686-285-4 | 2003 | |||||
| Guttag, John V. | Introduction to Computation and Programming using Python | MIT Press | 9780-262-51963-2 | 2013 | Excelente libro de introducción a la programación con Python. | https://mitpress.mit.edu/books/introduction-computation-and-programming-using-python-third-edition | |||
| Marzal Varó, Andrés y otros | Introducción a la programación con Python | Universitat Jaume I | 9788469711781 | 2014 | Libro de contenido libre, nivel introductorio. | http://repositori.uji.es/xmlui/handle/10234/102653 |
|
||
| Moya Fernández, Francisco | Informática para ingenieros | 2017 | Libro de texto interactivo recopilado a partir de notas de clase. Incluye temas relativos a programación con Python. | http://rawgit.com/FranciscoMoya/informatica-doc/gh-pages/docs/index.html | |||||
| Pes, Carlos | Pseudocódigo para principiantes: Teoría, ejemplos y ejercicios resueltos de diseño de algoritmos en pseudocódigo con PseInt | 979-8447835491 | 2022 | https://www.abrirllave.com/principiantes/pseudocodigo/ | |||||
| Pilgrim, Mark | Inmersión en Python 3 | 2009 | Libro de contenido libre y nivel avanzado sobre programación en Python. | http://www.jmgaguilera.com/inmersionenpython3html/ | |||||
| Prieto Espinosa, Alberto y otros | Introducción a la Informática | McGraw-Hill, Interamericana de España | 84-481-4624-7 | 2006 |