Rosanna CAMPAGNA
Insegnamento di CALCOLO NUMERICO
Corso di laurea in FISICA
SSD: MAT/08
CFU: 6,00
ORE PER UNITÀ DIDATTICA: 52,00
Periodo di Erogazione: Secondo Semestre
Italiano
Lingua di insegnamento | Inglese |
English
Teaching language | English |
Contents | Design and implementation of basic numerical methods for |
Textbook and course materials | L. Eldèn, Matrix Methods in Data Mining and Pattern Recognition, SIAM, 2007. |
Course objectives | Knowledge and understanding: students are expected to acquire basic knowledge of numerical methods and software for data analysis. |
Prerequisites | Students are not required to pass the exams of other courses before taking this one, but knowledge of the contents of the Linear Algebra course and of the basics of the Analysis course is recommended. |
Teaching methods | The course consists of lectures (32 hours, 4 CFU - ECTS credits) and laboratory sessions (24 hours, 2 CFU - ECTS credits). |
Evaluation methods | Students are evaluated through an oral assessment, aimed at verifying if they matched the objectives of the course. During the assessment, students are also asked to provide a computer-based illustration of methods and tools studied in the course. To this aim, students can use computer programs developed by themselves or made available by the instructor during the course. Use of other course material is not allowed. |
Course Syllabus | - Linear Algebra (review of basics and introduction of new concepts): matrices, vectors, norms, fundamental subspaces, projections, orthogonal matrices, eigenvalues and eigenvectors, singular value decomposition (SVD). |