Kurssiesite

LEARNING OUTCOMES

After the course, the students will be able to:

• explain the theory behind classical numerical methods (for example: LU factorisation, Newton-Raphson method etc)
• use Matlab as a tool to solve, analyse and visualise computational problems and data.
• program some of the fundamental numerical methods.
• reflect on the validity and accuracy of numerical predictions.

Credits: 5

Schedule: 07.01.2025 - 19.02.2025

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

  2. Exam

Workload

• valid for whole curriculum period:

  1. 2 lectures of 2 hours per week (24 hours in total)

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

  3. 79 hours individual work

  4. 20 hours exam and exam preparation

  5. 135 hours in total/5 ECTS

DETAILS

Study Material

• valid for whole curriculum period:

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

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

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: 2024-2025 Spring III
  2025-2026 Spring III

  Registration:

  Max. 120 students.

  Priority order:

  1. Students of Chemical Engineering, Computational Engineering and Quantum Technology majors (Aalto Bachelor’s Programme in Science and Technology)
  2. Energia- ja konetekniikka, Kiinteistötalous ja geoinformatiikka and Rakennustekniikka major student studies
  3. Other students

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