Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After the course, the students will be able to:

  • explain the theory behind classical numerical methods (for example: Newton-Raphson, Runge-Kutta and LU factorisation)
  • use Matlab as a tool to solve, analyse and visualise computational problems and data.
  • correct, validate, and improve existing code.
  • reflect on the validity and accuracy of numerical predictions.

Credits: 5

Schedule: 11.01.2021 - 19.02.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Athanasios Markou

Teacher in charge (applies in this implementation): Athanasios Markou

Contact information for the course (applies in this implementation):

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    1. Introduction

    2. Linear Algebraic Equations

    3. Interpolation and curve fitting

    4. Roots of equations

    5. Numerical Differentiation

     

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    1. Weekly assignments

    2. Exam

Workload
  • Valid 01.08.2020-31.07.2022:

    1. 2 contact lectures of 2 hours per week (24 hours in total) 10 out of 12 lectures mandatory

    2. 1 exercise session per week (12 hours in total)

    3. 3 hours exam and 20 hours preparation for the exam

    4. 76 hours individual work

    5. 135 hours in total/5 ECTS

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    1. Numerical Methods in Engineering with Matlab, by Jaan Kiusalaas

    2. Essential Matlab for Engineers and Scientists, by Brian Hahn, Daniel Valentine

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    Matrix algebra, Differential and integral calculus 1

FURTHER INFORMATION

Description

Registration and further information