Course Overview

Learning of numerical tools: analysis and representation of data,
graphical tools, numerical analysis and scientific programming for the
treatment of problems belonging to physics and chemistry.

Learning Achievement

Competence

Course prerequisites

No prerequisites.

Grading Philosophy

> First Session:

- Final written exam (50% weight of overall mark).
- 2 projects (2 x 25% weight of overall mark).

> Second Session (in case of failure):

-  Written exam (50% weight of overall mark).

- Recall of the first session project marks (2 x 30% weight of
overall mark).

Course schedule

1. Numerical analysis and scientific computing applied to physics and
chemistry problems

- Fortran programming language
- Linear Algebra
- Eigenvalue problem and solving systems of equations
- Intepolation and numerical integration and differentiation 
- Fourier transform and signal processing

2. Processing and data representation

- Python programming language
- Data processing and analysis
- Chi-square and model fitting
- Graphics and visualization tools
- Physics and chemistry application

Course type

> Lectures, tutorials and practicals. > 155 hours: - 52 contact hours (16 hours lectures, tutorials, 36 hours practicals on computers). - 100 self-study hours. - 3 written assessment exam hours.

Online Course Requirement

Instructor

Other information

Duration: 12 weeks

Language of instruction: English
Mode of delivery: Face-to-face teaching: lectures, tutorials, practical work.

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