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