Enrolment options

ENG-A1003 - Numerical methods in Engineering, Lecture, 7.1.2025-19.2.2025

Please note! Course description is confirmed for two academic years, 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: 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
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

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof

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