The course will be developed through a progressive methodology combining theoretical sessions, classroom practice sessions, laboratory practices and students’ independent work. The approach starts from the consolidation of previous programming knowledge and progresses towards problem solving, code organization and the development of small projects applied to interactive communication.

The theoretical sessions will introduce the fundamental concepts of each content block and relate them to practical examples.

The classroom practice sessions will allow students to work on guided exercises, discuss possible solutions and reinforce their understanding of the concepts covered.

Laboratory practices will play a central role in the course. In these sessions, students will develop programs in Python, solve practical exercises and progress in the construction of small prototypes.

Independent work will include studying the course materials, preparing and completing exercises, developing practical assignments and preparing assessment activities. The detailed schedule of sessions, practical work and submissions will be published on the course Virtual Campus.

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.

The assessment of the course will be continuous and will combine follow-up activities, theoretical-practical tests, laboratory practices and an applied project. The aim of the assessment is to verify both the understanding of the fundamental concepts of programming and the students’ ability to apply them to problem solving and to the development of small programs related to interactive communication.

The assessment activities and their percentages of the final grade will be as follows: attendance, follow-up and active participation, 10%; theoretical-practical tests, 30%; laboratory practices, 40%; and applied programming project, 20%. The sum of these activities corresponds to 100% of the final grade.

The theoretical-practical tests will assess the understanding of fundamental programming concepts, the reading and interpretation of code, and problem solving. The laboratory practices will assess the progressive application of the course contents through exercises and programs developed in Python. The applied project will consist of the design and development of a small program or prototype related to the field of interactive communication.

To pass the course, students must obtain a minimum final grade of 5 out of 10. The specific conditions for each activity, as well as the schedule for submissions and tests, will be published on the Virtual Campus.

Students may take the reassessment only if they have completed enough assessment activities during the course. Specifically, they must have been assessed in activities that, taken together, represent at least two thirds of the final grade for the course. The reassessment will consist of a theoretical-practical recovery test and/or the correction or resubmission of failed practical activities, according to the instructions established by the teaching staff on the Virtual Campus. The maximum grade for reassessed activities will be 5.

This course does not include the single-assessment system.

The use of Artificial Intelligence tools will only be allowed when expressly authorized by the teaching staff. Students must be able to explain, justify and defend the code submitted.

If a student commits any irregularity that may lead to a significant variation in the grade of an assessment activity, that activity will be graded with 0, regardless of any disciplinary proceedings that may be initiated. In the event of several irregularities in the same course, the final grade will be 0.