Degree | Type | Year |
---|---|---|
Interactive Communication | FB | 1 |
You can view this information at the end of this document.
It is recommended to have passed the subject of Introduction to Algorithms
1. Learn about programming languages
2. Learn Python
1. introduction to the programming languages
2. Python as a programming language
2.1 Conditional sentences, repetitive sentencies...
2,2. Data structrues
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Exercises | 25 | 1 | CM09, CM10, CM11, KM08, KM09, SM08, SM10, CM09 |
Lab practices | 35 | 1.4 | KM09, SM08, SM10, KM09 |
Master class | 30 | 1.2 | CM09, CM10, CM11, KM08, KM09, SM08, SM10, CM09 |
Note: The course content will be sensitive to issues related to gender perspective and the
use of inclusive language.
A detailed schedule outlining the content of each session will be presented on the first day
of the course and will be available on the course’s Virtual Campus, where students will
find all teaching materials and necessary information for eective course monitoring.
Should the teaching modality change for reasons of force majeure according to the
competent authorities, the teaching sta will inform students of any modifications to the
course schedule and teaching methodologies.
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 |
---|---|---|---|---|
Attendance | 10% | 10 | 0.4 | CM09, CM10, CM11, KM08, KM09, SM08, SM10 |
Lab practices | 20% | 20 | 0.8 | KM09, SM08, SM10 |
Report deliveries | 20% | 20 | 0.8 | CM09, CM10, CM11, KM08, KM09, SM08, SM10 |
Teorethical exams | 50% | 10 | 0.4 | CM09, CM10, CM11, KM08, KM09, SM08, SM10 |
Students will be entitled to reassessment in the course if they have been evaluated on a
set of activities accounting for at least two-thirds of the total course grade.
This course/module does not provide for a single-assessment system.
In this course, the use of Artificial Intelligence (AI) technologies is not permitted at any
stage. Any assignment containing content generated by AI will be considered a breach of
academic integrity and may result in a partial or total penalty to the assignment grade, or
more serious sanctions in severe cases.
https://pythoninstitute.org/
https://www.python.org/
Visual Studio Code
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 | 1 | Spanish | second semester | afternoon |
(PLAB) Practical laboratories | 1 | Spanish | second semester | afternoon |
(PLAB) Practical laboratories | 2 | Spanish | second semester | afternoon |
(TE) Theory | 1 | Spanish | second semester | afternoon |