Introduction to Algorithmics
Code: 107737 ECTS Credits: 6| Degree | Type | Year |
|---|---|---|
| Interactive Communication | FB | 1 |
Contact
- Name:
- Juan Carlos Sebastián Pérez
- Email:
- juancarlos.sebastian@uab.cat
Teaching groups languages
You can view this information at the end of this document.
Prerequisites
No prerequisite needed
Objectives and Contextualisation
1- Learn the basics of computer scicence
2- Get startemsd with algorithms
Learning Outcomes
- CM09 (Competence) Apply the principles of algorithms and programming to proposals for interactive communicative projects within the framework of a professional practice that is sensitive to society's problems and challenges.
- KM07 (Knowledge) Explain the basic conceptual and practical concepts, languages and application of algorithms and programming in a programming environment.
- SM09 (Skill) Know the defining elements of an information system.
Content
1- Introduction to computer science
2- Introducción with algorithms
Activities and Methodology
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Attendance | 10 | 0.4 | CM09, KM07, SM09, CM09 |
| Lab practices | 20 | 0.8 | CM09, KM07, SM09, CM09 |
| Report deliveries | 20 | 0.8 | CM09, KM07, SM09, CM09 |
| Teorethical exams | 10 | 0.4 | CM09, KM07, SM09, 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 eƯective course monitoring. Should the teaching modality change for reasons of force majeure according to the competent authorities, the teaching staƯ 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.
Assessment
Continous Assessment Activities
| Title | Weighting | Hours | ECTS | Learning Outcomes |
|---|---|---|---|---|
| Attendance | 10% | 40 | 1.6 | CM09, KM07, SM09 |
| Lab practices | 20% | 20 | 0.8 | CM09, KM07, SM09 |
| Report deliveries | 20% | 20 | 0.8 | CM09, KM07, SM09 |
| Teorethical exams | 50% | 10 | 0.4 | CM09, KM07, SM09 |
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.
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 5 academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.
Bibliography
https://pythoninstitute.org/
Software
Virtual campus
Groups and Languages
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 |
|---|---|---|---|---|
| (PLAB) Practical laboratories | 1 | Spanish | first semester | afternoon |
| (PLAB) Practical laboratories | 2 | Spanish | first semester | afternoon |
| (TE) Theory | 1 | Spanish | first semester | afternoon |