Public University of Navarre



Castellano | Academic year: 2025/2026 | Previous academic years:  2024/2025  |  2023/2024  |  2022/2023  |  2021/2022 
Bachelor's Degree in Science at the Universidad Pública de Navarra
Course code: 504208 Subject title: NUMERICAL METHODS
Credits: 6 Type of subject: Mandatory Year: 2 Period: 2º S
Department: Estadística, Informática y Matemáticas
Lecturers:
HIGUERAS SANZ, M. INMACULADA (Resp)   [Mentoring ] ARRARAS VENTURA, ANDRÉS   [Mentoring ]

Partes de este texto:

 

Module/Subject matter

Mathematics/ Calculus

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Contents

Introduction to numerical techniques. Direct and iterative methods for linear systems. Methods for nonlinear equations and systems. Numerical treatment of differential equations. Interpolation. Numerical integration.

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Learning outcomes

  • RA01 - Apply the acquired analytical and abstract skills, intuition, and logical thinking to identify and analyse complex problems and seek and formulate solutions in a multidisciplinary environment. TYPE: Knowledge or content
  • RA29 - Analyse, validate, and interpret mathematical models of real-life situations, using the tools of differential and integral calculus in several variables, complex variables, integral transforms, and numerical methods to solve them. TYPE: Competencies

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Methodology

Methodology - Activity On-site hours Off-site hours
A1- Interactive lectures 42  
A2- Hands-on learning sessions 14  
A3- Self-study and autonomous work   88
A4- Tutorials   2
A5- Assessment tests 4  
Total 60 90

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Evaluation

 

Assessment
system
Weight (%) It allows
test resit
Minimum
required grade
SE1. Written tests 80% Yes 5/10
SE4. Assignments and reports 15% No 0
SE6. Active participation 5% No 0

If the minimum required grade of the written tests is not reached, the final mark will be, at most, 4.9/10

 

Continuous assessment is carried out by means of several written tests distributed throughout the semester as follows:

Ordinary assessment:

Written tests (individual):

  • Test A: lessons 1, 2 and 3, with a weight of 40% in the final grade.
  • Test B: lessons 4 and 5, with a weight of 40% in the final grade.

In order to pass the course, the following two conditions must be fulfilled:

- the average of the grades of Test A and Test B is not less than 5/10;

- the weighted average of the grades of Test A and Test B, the assignments and reports, and the active participation is not less than 5/10 (with the weights indicated in the table).

Resit assessment:

Written test (individual):

  • Test R: lessons 1, 2, 3, 4 and 5, with a weight of 80% in the final grade.

In order to pass the course, the following two conditions must be fulfilled:

- the grade of Test R is not less than 5/10;

- the weighted average of the grades of Test R, the assignments and reports, and the active participation is not less than 5/10 (with the weights indicated in the table).

If a student takes part in a number of assessment activities whose total weight is less than 50%, his/her final grade will be Absent.

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Agenda

  1. Introduction to Numerical Analysis. Numerical differentiation.
  2. Numerical solution of linear systems.
  3. Numerical solution of nonlinear equations and systems.
  4. Numerical solution of differential equations.
  5. Interpolation. Numerical integration.

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Bibliography

Access the bibliography that your professor has requested from the Library.


Basic bibliography:

  • U.M. Ascher, C. Greif. A First Course in Numerical Methods. SIAM.
  • R.L. Burden, J.D. Faires, A.M. Burden. Numerical Analysis. Brooks-Cole.
  • J.D. Faires, R. Burden. Numerical Methods. Brooks-Cole.
  • J. Kiusalaas. Numerical methods in engineering with Python 3. Cambridge University Press.

 

Additional bibliography:

  • D. Kincaid, W. Cheney. Numerical Analysis. Mathematics of Scientific Computing. American Mathematical Society.
  • A. Quarteroni, R. Sacco, F. Saleri. Numerical Mathematics. Springer.

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Languages

English.

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Location

Public University of Navarre, Arrosadía Campus.

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