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: 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: 10.01.2022 - 18.02.2022

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 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 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

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    MyCourses

    Teaching Period:

    2020-2021 Spring III

    2021-2022 Spring III

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=ENG-A1003

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

    WebOodi