Attendance to the interactive and expository classes is compulsory and will be taken into account for the evaluation of the subject. Attendance to at least 80% of the sessions will be compulsory (except for very justified reasons, according to regulations). In order to pass the course, the student will have to carry out all the proposed activities and pass the corresponding exams.

First opportunity: To pass the subject, the student must have attended the classes, have delivered and passed the proposed activities during seminars and práctical sessions (40% of the final grade) and pass the final exam (60% of the grade)

Mid-term exams: no mid-term exams will be held

Second opportunity: The grade obtained in the practices during the course is maintained, as well as its weight in the final grade. Students who have not reached the cut-off mark in the activities proposed during the previous call, may submit, prior to the second chance final exam, similar activities, which will be proposed by the teachers. Once both parts have been passed separately, the exam will account for the 60% of the final mark and the practices for the 40%.

Exemption from attendance: In case of exemption from attendance, students will be relieved of the obligation to attend classes, but it will still be compulsory to carry out and pass the proposed activities, as well as to pass the final exam. Once both parts have been passed separately, the exam will account for the 60% of the final mark and the practices for the 40%.

Repeat students: Repeat students from previous years will be exempted from the obligation to attend classes. In order to pass the subject, it will be compulsory to complete and hand in the proposed activities on the same dates established for the rest of the students, as well as to pass the final exam. Once both parts have been passed separately, the exam will account for the 60% of the final mark and the practices for the 40%.

No-show: the student will receive the qualification of "no-show" when he/she does not take the final exam.

Fraudulent performance of exercises or tests: For cases of fraudulent performance of exercises or tests, the provisions of the current regulation of the USC about this topic will apply.

Evaluation of competences: In general, the development of the practical activities, projects and use cases, as well as the preparation of the theoretical topics will allow students to work on the basic, general and transversal competences of the subject. Specifically, through the projects and use cases, the competences CT7, CT9, CG5, CG4, CG2 will be assessed. The development of the practices, as well as the final test, will allow the evaluation of the specific competences: CE10, CE11, CE12, CE15.

Learning outcomes	Study programme competences
To acquire knowledge of how the main incremental learning techniques work.	AC10 AC11 AC12 AC15	BC2 BC3 BC4 BC5 BC6 BC7 BC8 BC9	CC3 CC4 CC7 CC8 CC9
To apply incremental learning techniques for the analysis of real-time data in stationary and non-stationary environments	AC10 AC11 AC12 AC15	BC2 BC3 BC4 BC5 BC6 BC7 BC8 BC9	CC3 CC4 CC7 CC8 CC9
To know the working principle of the main privacy-preserving learning paradigms	AC10 AC11 AC12 AC15	BC2 BC3 BC4 BC5 BC6 BC7 BC8 BC9	CC3 CC4 CC7 CC8 CC9

Topic	Sub-topic
1. Online and incremental learning	1.1 Incremental algorithms for supervised and unsupervised learning. 1.2 Detection and treatment of data obsolescence and the concept drift.
2. Data privacy-preserving learning paradigms	2.1 Federated learning

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Guest lecture / keynote speech	A11 A12 A13 A16 B3 B6 B7 B8 B9 C3 C4 C8	10	10	20
Seminar	A11 A12 A13 A16 B2 B4 B5 C7 C9	4	20	24
ICT practicals	A11 A12 A13 A16 B3 B6 B7 B8 C3 C4 C8	7	21	28
Mixed objective/subjective test	A11 A12 A13 A16 B4 B6 B7	1	0	1

Personalized attention		2	0	2

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
Guest lecture / keynote speech	The contents of the course will be taught indistinctly between lectures and interactive classes. The completion of all the proposed activities is necessary, as well as the attendance to all the classes (lectures and interactive) to pass the course. Expository classes (theory): will consist of the explanation of the different sections of the course syllabus, with the help of electronic media (presentations, videos, etc.)
Seminar	Case studies: students may be presented with real or fictional work scenarios that present certain problems. Students will have to apply the theoretical and practical knowledge of the subject to find a solution to the question or questions posed. As a general rule, case studies will be carried out in groups. The different working groups will present and share their solutions.
ICT practicals	Interactive classes (practical): different practical problems related to the content of the subject will be posed for the student to solve individually or in groups. Project-based learning: students may be given practical projects whose scope requires them to dedicate a significant part of their time to the subject. Autonomous work: the scope and objectives of the projects, use cases and/or practical problems may require autonomous work on the part of the students, albeit under the supervision of the teaching staff.
Mixed objective/subjective test	A mixed test which can contain quiz questions, short=answer questions or development questions. It is going to evaluate the teorethical part of the subject and it can contain questions about the content of the seminars or practical exercises

Methodologies	Competencies	Description	Qualification
Mixed objective/subjective test	A11 A12 A13 A16 B4 B6 B7	Subjective test which can be a mixture model with quiz questions and some short-answer or development questions.	60
ICT practicals	A11 A12 A13 A16 B3 B6 B7 B8 C3 C4 C8	This mark includes the evaluation exercises made during the practical lessons and the developed project.	30
Seminar	A11 A12 A13 A16 B2 B4 B5 C7 C9	This is going to include the grading og the practical exercises and the proyects developed in the seminars.	10

Assessment comments
Attendance to the interactive and expository classes is compulsory and will be taken into account for the evaluation of the subject. Attendance to at least 80% of the sessions will be compulsory (except for very justified reasons, according to regulations). In order to pass the course, the student will have to carry out all the proposed activities and pass the corresponding exams. First opportunity: To pass the subject, the student must have attended the classes, have delivered and passed the proposed activities during seminars and práctical sessions (40% of the final grade) and pass the final exam (60% of the grade) Mid-term exams: no mid-term exams will be held Second opportunity: The grade obtained in the practices during the course is maintained, as well as its weight in the final grade. Students who have not reached the cut-off mark in the activities proposed during the previous call, may submit, prior to the second chance final exam, similar activities, which will be proposed by the teachers. Once both parts have been passed separately, the exam will account for the 60% of the final mark and the practices for the 40%. Exemption from attendance: In case of exemption from attendance, students will be relieved of the obligation to attend classes, but it will still be compulsory to carry out and pass the proposed activities, as well as to pass the final exam. Once both parts have been passed separately, the exam will account for the 60% of the final mark and the practices for the 40%. Repeat students: Repeat students from previous years will be exempted from the obligation to attend classes. In order to pass the subject, it will be compulsory to complete and hand in the proposed activities on the same dates established for the rest of the students, as well as to pass the final exam. Once both parts have been passed separately, the exam will account for the 60% of the final mark and the practices for the 40%. No-show: the student will receive the qualification of "no-show" when he/she does not take the final exam. Fraudulent performance of exercises or tests: For cases of fraudulent performance of exercises or tests, the provisions of the current regulation of the USC about this topic will apply. Evaluation of competences: In general, the development of the practical activities, projects and use cases, as well as the preparation of the theoretical topics will allow students to work on the basic, general and transversal competences of the subject. Specifically, through the projects and use cases, the competences CT7, CT9, CG5, CG4, CG2 will be assessed. The development of the practices, as well as the final test, will allow the evaluation of the specific competences: CE10, CE11, CE12, CE15.

Basic	WANG, Jianyu, et al. (2021). A field guide to federated optimization. arXiv preprint Géron, Aurélien (2022). Hands-on Machine Learning with Scikit-Learn & TensorFlow : Concepts, Tools, and Techniques to build Intelligent Systems. 2nd Edition. O'Reilly GEPPERTH, Alexander; HAMMER, Barbara (2016). Incremental learning algorithms and applications. European symposium on artificial neural networks (ESANN)

Complementary	Quian Yangt et al (2019). Federated Learning. Morgan & Claypool HE, Haibo, et al (2011). Incremental learning from stream data. IEEE Transactions on Neural Networks, vol. 22, no 12, p. 1901-1914. BONAWITZ, Keith, et al. (2019). Towards federated learning at scale: System design. Proceedings of Machine Learning and Systems, 2019, vol. 1, p. 374-388 Emily Glanz, Nova Fallen (2021). What Is Federated Learning?. O'Reilly

Other comments
The students should be familiar with mid-level programming concepts, linear algebra, calculus and stadistics. The knowledge of basic concurrence and parallel architecture is also helpful