Teaching Plan Information

5.1. Methodological overview

Lectures are complemented with problem sessions, where the concepts are trained with practical cases.  The different computational methods and algorithms are performed in a scientific programming language, checking the different algorithms and methods with test problems.

Individual study, complemented with tutorial sessions, are fundamental in the learning process.

5.2. Learning tasks

• Lectures
• Problems session in small groups
• Computer lab sessions in small groups
• Tutorial sessions
• Study and work of the student

5.3. Syllabus

1. Polynomial interpolation
2. Spline interpolation
3. Numerical differentiation
4. Numerical quadrature

5.4. Course planning and calendar

See the academic calendar of the Universidad de Zaragoza and the scheduling established by the Faculty of  Sciences.

5.5. Bibliography and recommended resources

• Gasca, Mariano. Cálculo numérico : unidad didactica 1 / preparada por Mariano Gasca González. - [6a. ed.] Madrid : Universidad Nacional de Educación a Distancia, 1991
• Burden, Richard L.. Análisis numérico / Richard L. Burden, J. Douglas Faires . - 6a ed.,rev. México [etc.] : International Thomson, cop. 1998
• Faires, J. Douglas. Métodos numéricos / J. Douglas Faires, Richard Burden; traducción y revisión técnica Pedro J. Paul Escolano . - 3a ed. Madrid [etc] : Thomson, D.L. 2004
• Kincaid, David. Análisis numérico : las matemáticas del cálculo científico / David Kincaid y Ward Cheney ; versión en español de Rafael Martínez Enríquez y Carlos Torres Alcaraz Wilmington, Delaware : Addison-Wesley Iberoamericana, cop. 1994