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

Students learn to analyze and solve problems in linear algebra that occur often in scientific computing, data fitting and optimization. The main focus is on solution of linear systems, least squares problems and eigenvalue problems. After the course, the students can choose the best solution method for each problem and have a good understanding on issues related to numerical stability of the applied algorithms. 

 

Credits: 5

Schedule: 27.10.2021 - 27.10.2021

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Antti Hannukainen

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:

    Matrix decompositions and their numerical computation, eigenvalue iterations, sparse matrices, iterative solution of linear systems.

     

DETAILS

Study Material
  • valid for whole curriculum period:

    All essential material is included in the lecture notes that are available at the course's homepage.

     

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Period:

    2020-2021 Autumn I

    2021-2022 Autumn I

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=MS-E1651

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