Degree | Type | Year |
---|---|---|
Electronic Engineering for Telecommunications | FB | 1 |
Telecommunication Systems Engineering | FB | 1 |
You can view this information at the end of this document.
Although the course has no official prerequisite, it is assumed that the student has taken the previous course "Foundations of Computer Science" and is familiar with general computer concepts.
It is recommended that the student has access to a computer, preferably a laptop.
The course is a basic subject introducing programming in telecommunications degree programs and is taught during the second semester of the first year.
Its main objectives are:
1. Introduction to Programming in C
2. Control Structures
3. Modular Programming
4. Data Structures
5. Files
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Theory | 36 | 1.44 | KM07, KM08, SM05, KM07 |
Type: Supervised | |||
Problems and practices | 24 | 0.96 | KM07, KM08, SM05, KM07 |
Type: Autonomous | |||
Study & Homework | 80 | 3.2 | KM07, KM08, SM05, KM07 |
The virtual campus (https://cv.uab.cat/) will be used for communication with students.
Master classes:
Basic knowledge of the subject is given in class and indications of how to improve these contents.
Class problems:
The scientific and technical knowledge exposed in the master classes is worked on. Problems are solved and case studies are discussed. With the problems, the ability to analyze and synthesise, the critical reasoning is promoted, and the student is trained in solving problems.
The methodology used in problem-solving sessions involves presenting a series of exercises that students are expected to complete in advance. During class, any questions that arise are reviewed, and the exercises that posed the most difficulties are solved. In some sessions, the completed work is collected and corrected.
Occasionally, during problem sessions, group work is carried out to solve comprehensive synthesis problems.
Practices:
During the course there will be 6 practices of 2 hours. Students will work in groups of 2.
Students will develop own thinking habits of the subject. The student will be introduced in the programming language.
AI can be used as a learning tool. However, it is not permitted in the practical and assessment activities of the subject.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
1. First partial exam | 30 | 2 | 0.08 | KM07, KM08 |
2. Second partial exam | 35 | 2 | 0.08 | SM05 |
3. Exercises solved in class | 10 | 2 | 0.08 | KM07, KM08 |
4. Lab sessions | 25 | 4 | 0.16 | SM05 |
This subject does not contemplate the single evaluation system.
a) Scheduled evaluation process and activities
The subject consists of the following assessment activities:
Evaluation activities |
Weight grade continuous evaluation |
Minimum score |
First Partial (P1) |
30 % |
3.5 |
Second Partial (P2) |
35 % |
3.5 |
Problem Set (PRO) |
10 % |
|
Laboratory Practices (LAB) |
25 % |
5.0 |
In order to pass the subject, it will be necessary to obtain a minimum grade of 3.5 in the P1 and P2 partials and a minimum grade of 5.0 in LAB.
It should be noted that LAB activity is non-recoverable. Therefore, failing it with a grade lower than that indicated above means not being able to pass the subject.
EVALUATION IN THE MIDTERM EXAMS (P1, P2)
Two written tests will be carried out as part of the continuous assessment, and they will be conducted and evaluated individually.
EVALUATION IN CLASS PROBLEM COLLECTION (PRO)
At the end of some problem-solving sessions, students will be asked to complete a short exercise and/or questionnaire on the content covered, which must be submitted before the end of the class. The exercise may be completed and assessed individually or in groups, depending on the type of activity.
EVALUATION IN PRACTICAL ACTIVITIES (LAB)
Practical activities are approved by continuous evaluation.
The evaluation activities maybe:
b) Programming of evaluation activities
The schedule for the midterm exams P1 and P2 will be published on the Virtual Campus and on the School of Engineering website. Evaluation dates are set at the beginning of the course and there is no alternative make-up date in case of absence. If any changes to the schedule occur due to unforeseen circumstances, updates will always be communicated via the Virtual Campus.
The evaluation of lab work (LAB) will take place during the scheduled lab sessions.
The problem-solving assignments (PRO) will be carried out during the problem sessions.
c) Recovery process
A final exam will be held where the student can recover the P1 and/or P2 partials.
In accordance with the coordination of the Bachelor's Degree and the management of the School of Engineering, the following activities may not be recovered:
d) Procedure for reviewing grades
For each assessment activity, a location, date, and time for review will be provided, during which students may go over the activity with the teaching staff. In this context, students may submit grade appeals, which will be evaluated by the same instructor who assessed the activity. If the student does notattend this review session, the activity will not be reviewed at a later time.
e) Grades
Honors. Granting a grade of honours (MH) is the decision of the teaching staff responsible for the subject. UAB regulations indicate that MHs can only be awarded to students who have obtained a final grade equal to or higher than 9.00. Up to 5% of MH of the total number of students enrolled can be awarded.
Not assessed: A student will be considered non-assessable (NA) if they have not taken any of the P1, P2 midterm exams and taken more than two lab sessions.
Final grade: the final grade will come from the weighted average of all the evaluation activities. Anyone is considered approved who:
In the event of not passing the subject due to the fact that any of the evaluation activities does not reach the minimum grade required, the numerical grade of the transcript will be the lowest value between 4.5 and the weighted average of the grades.
f) Consequences of irregularities committed by students: copying, plagiarism, use of AI, etc.
Without prejudice to other disciplinary measures that may be considered appropriate, and in accordance with current academic regulations, any irregularities committed by a student that may affect their grade will result in a score of zero (0). Assessment activities marked this way will not be recoverable. If passing any of these activities is necessary to pass the course, the subject will be failed directly, without the option of recovery during the same academic year. These irregularities include, among others:
Total or partial copying of a lab assignment, report, or any other evaluable activity.
Allowing others to copy.
Submitting a group assignment that has not been entirely done by the group members.
Submitting as original any materials prepared by a third party, even if translated or adapted, or in general any work containing non-original content not exclusively created by the student.
Having communication devices (e.g., mobile phones, smartwatches, etc.) accessible during individual theoretical-practical exams.
Unauthorized use of AI tools (e.g., Copilot, ChatGPT, or equivalents) to complete exercises, labs, or any evaluable task.
If a student commits any irregularity during an assessment, the grade recorded in the transcript will be the lower value between 3.0 and the weighted average of the grades (thus, compensation to pass the subject will not be possible).
In future editions of this course, students who have committed irregularities during an assessment will not have any of their previously completed assessment activities validated. In short: copying, letting someone copy, or plagiarizing (or attempting to) in any evaluable activity results in a FAIL, not compensable, and with no partial validations in future editions of the subject.
g) Evaluation of repeating students
At the beginning of the academic year, if possible, it will be notified if there is validation of internships. If applicable, the validation of internships will only be carried out when it is requested and approved fromthe previous year.
The bibliography to be used in the course will be:
Core textbooks:
Rodríguez-Losada González, D., Cena, C. E. G., & Muñoz Cano, J. (2022). Introducción a la programación en C. UPM Press. Available in digital format.
Muñoz Frías, J. D., & Palacios Hielscher, R. (2006). Fundamentos de programación utilizando el lenguaje C. Universidad Pontificia Comillas. Available in digital format.
Supplementary books:
Quero Catalinas, E. (1998). Programación en lenguaje C: ejercicios y problemas. Paraninfo.
For C programming, the development environment used will mainly be Visual Studio Code (https://code.visualstudio.com/).
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PAUL) Classroom practices | 311 | Catalan/Spanish | second semester | morning-mixed |
(PAUL) Classroom practices | 312 | Catalan/Spanish | second semester | morning-mixed |
(PAUL) Classroom practices | 331 | Catalan | second semester | morning-mixed |
(PAUL) Classroom practices | 332 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 311 | Catalan/Spanish | second semester | morning-mixed |
(PLAB) Practical laboratories | 312 | Catalan/Spanish | second semester | morning-mixed |
(PLAB) Practical laboratories | 313 | Catalan/Spanish | second semester | morning-mixed |
(PLAB) Practical laboratories | 314 | Catalan/Spanish | second semester | morning-mixed |
(PLAB) Practical laboratories | 315 | Catalan/Spanish | second semester | morning-mixed |
(PLAB) Practical laboratories | 316 | Catalan/Spanish | second semester | morning-mixed |
(PLAB) Practical laboratories | 317 | Catalan/Spanish | second semester | morning-mixed |
(TE) Theory | 31 | Catalan/Spanish | second semester | morning-mixed |
(TE) Theory | 33 | Catalan | second semester | morning-mixed |