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: 08.01.2024 - 21.02.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Athanasios Markou
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
1. Introduction
2. Linear Algebraic Equations
3. Interpolation and curve fitting
4. Roots of equations
5. Numerical Differentiation
Assessment Methods and Criteria
valid for whole curriculum period:
1. Weekly assignments
Workload
valid for whole curriculum period:
1. 2 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
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
11 Sustainable Cities and Communities
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring III
2023-2024 Spring IIIEnrollment :
Registration for the course via Sisu (sisu.aalto.fi).