Checking date: 20/06/2022


Course: 2022/2023

Applied functional analysis
(18281)
Study: Bachelor in Applied Mathematics and Computing (362)


Coordinating teacher: IBORT LATRE, LUIS ALBERTO

Department assigned to the subject: Mathematics Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Integration and measure, Complex variables, Ordinary differential equations, Partial differential equations
Skills and learning outcomes
Description of contents: programme
1. Infinite dimensional vector spaces: Banach and Hilbert spaces. 2. Geometry of Hilbert spaces. 3. Orthonormal bases and Fourier analysis. 4. The problem of best approximation and other applications. 5. Linear operators on Hilbert spaces. 6. Self-adoint and unitary operators on Hilbert spaces: The Fourier transform. 7. The spectral theorem. 8. Applications to signal theory: sampling. 9. Applications to physical theories: quantum mechanics. 10. Applications to numerical analysis: Sobolev spaces.
Learning activities and methodology
AF1.THEORETICAL-PRACTICAL CLASSES. Knowledge and concepts students must acquire. Student receive course notes and will have basic reference texts to facilitatefollowing the classes and carrying out follow up work.Students partake in exercises to resolve practical problems and participatein workshops and an evaluation tests, all geared towards acquiring the necessary capabilities.Subjects with 6 ECTS are44 hours as a general rule/ 100% classroom instruction AF2.TUTORING SESSIONS. Individualized attendance (individual tutoring) or in-group (group tutoring) for students with a teacher.Subjects with 6 credits have 4 hours of tutoring/ 100% on- site attendance. AF3.STUDENT INDIVIDUAL WORK OR GROUP WORK.Subjects with 6 credits have 98 hours/0% on-site. MD1.THEORY CLASS. Classroom presentations by the teacher with IT and audiovisual support in which the subject`s main concepts are developed, while providing material and bibliography to complement student learning. MD2.PRACTICAL CLASS. Resolution of practical cases and problem, posed by the teacher, and carried out individually or in a group. MD3.TUTORING SESSIONS. Individualized attendance (individual tutoring sessions) or in-group (group tutoring sessions) for students with teacher as tutor. Subjects with 6 credits have 4 hours of tutoring/100% on-site.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

The course syllabus may change due academic events or other reasons.