Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), 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

You will learn to identify an ill-posed inverse problem and to understand the restrictions its nature imposes on the solution process. You will familiarize yourself with several classical regularization methods for finding approximate solutions to linear ill-posed problems. You will learn to formulate an inverse problem as a Bayesian problem of statistical inference and to interpret the information contained in the resulting posterior probability distribution. You will learn to numerically implement the introduced solution techniques.

 

Credits: 5

Schedule: 01.03.2021 - 09.04.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Nuutti Hyvönen

Teacher in charge (applies in this implementation): Nuutti Hyvönen

Contact information for the course (applies in this implementation):

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    The course s topic is computational methods for solving inverse problems arising from practical applications. The course consists of two parts: the first three weeks focus on classic regularization techniques, the latter three weeks discuss statistical methods.

     

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    Teaching methods: lectures, exercises and home exam.

    Assessment methods: exercises, a home exam.

     

Workload
  • Valid 01.08.2020-31.07.2022:

    Contact hours 36h (no compulsory attendance)

    Self-study ca 100h

     

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

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

     

Substitutes for Courses
  • Valid 01.08.2020-31.07.2022:

    Mat-1.3626

     

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    MS-A00XX, MS-A01XX, MS-A02XX, MS-A050X. The courses MS-A030X, MS-C134X, MS-C1650, MS-E1460, MS-E1651, MS-E1652, MS-E2112 may also be useful.

FURTHER INFORMATION

Description

Registration and further information