Syllabus

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:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

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 III

  Enrollment :

  Registration for the course via Sisu (sisu.aalto.fi).

Description