This subject does not have pre-requisites since it is a first year subject.
It is a basic core subject associated with the specific competence described in the Annexe of order CIN/351/2009, of 9-02-2009, which establishes the conditions that must be met by study plans that lead to the acquisition of titles that qualify for the exercise of the different regulated professions of the Industrial Engineer title.
Computing, and the topics addressed in the subject, are part of the current necessary knowledge required by all engineering disciplines: basic knowledge of operating systems, database management, and mainly of structured programming (algorithms and data types).
Personal computers have evolved into an indispensable tool to all engineering and technology students and professionals. More specifically, the knowledge of programming languages and the ability to develop algorithms to solve problems are of great interest in any of the branches of industrial engineering.
The subject is specially relevant for the understanding of later years subjects such as Industrial Computing or Control. It is also needed in applications of any of the Industrial Engineering degrees such as structure design using finite elements (Mechanical Engineering), load flows calculation (Electrical Engineering), and data acquisition or control systems (Industrial Electronic and Automation Engineering).
Course competences | |
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Code | Description |
A07 | Knowledge of Information Technology and Communication (ITC). |
A12 | Knowledge of basic materials and technologies that assist the learning of new methods and theories and enable versatility to adapt to new situations. |
B03 | Basic understanding of the use and programming of computers, operating systems, data bases information programs used in engineering. |
CB01 | Prove that they have acquired and understood knowledge in a subject area that derives from general secondary education and is appropriate to a level based on advanced course books, and includes updated and cutting-edge aspects of their field of knowledge. |
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 |
Course learning outcomes | |
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Description | |
Additional outcomes | |
Not established. |
Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
Class Attendance (theory) [ON-SITE] | Combination of methods | A07 A12 B03 CB01 CB02 CB03 CB04 CB05 | 1.12 | 28 | N | N | ||
Problem solving and/or case studies [ON-SITE] | Combination of methods | CB05 | 0.48 | 12 | N | N | ||
Class Attendance (practical) [ON-SITE] | Practical or hands-on activities | A07 A12 B03 CB01 CB02 CB03 CB04 CB05 | 0.6 | 15 | N | N | ||
Study and Exam Preparation [OFF-SITE] | Self-study | CB02 CB03 CB05 | 3.6 | 90 | N | N | ||
Formative Assessment [ON-SITE] | Assessment tests | CB02 CB03 CB05 | 0.2 | 5 | Y | Y | ||
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).
Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
Projects | 10.00% | 10.00% | |
Mid-term tests | 70.00% | 0.00% | Mid-term exam of Part I |
Laboratory sessions | 20.00% | 20.00% | End-term exam of Part II. There will include a remedial exam of Part I |
Final test | 0.00% | 70.00% | |
Total: | 100.00% | 100.00% |
Not related to the syllabus/contents | |
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Hours | hours |
Formative Assessment [PRESENCIAL][Assessment tests] | 5 |
Unit 1 (de 5): Introduction to computers | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Combination of methods] | 5 |
Problem solving and/or case studies [PRESENCIAL][Combination of methods] | 2 |
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] | 3 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 10 |
Unit 2 (de 5): Operating Systems | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Combination of methods] | 5 |
Problem solving and/or case studies [PRESENCIAL][Combination of methods] | 4 |
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] | 3 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 10 |
Unit 3 (de 5): Introduction to algorithms, programming and dataflow diagrams | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Combination of methods] | 6 |
Problem solving and/or case studies [PRESENCIAL][Combination of methods] | 2 |
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] | 3 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 21 |
Unit 4 (de 5): | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Combination of methods] | 6 |
Problem solving and/or case studies [PRESENCIAL][Combination of methods] | 2 |
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] | 3 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 24 |
Unit 5 (de 5): | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Combination of methods] | 6 |
Problem solving and/or case studies [PRESENCIAL][Combination of methods] | 2 |
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] | 3 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 25 |
Global activity | |
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Activities | hours |