Teaching

Courses (since 2020/2021)

2024/2025

• 2024/2025Q4: Techniques and Technologies for Scientific Software Engineering (Ph.D. course)
• 2024/2025Q3: 1TD433 Programmeringsteknik I (Swedish)

2023/2024

• 2023/2024Q4: 1TD722 Programmeringsteknik II (Swedish)
• 2023/2024Q3 1TD342 Introduktion till beräkningsvetenskap

2022/2023

• 2022/2023Q4: Techniques and Technologies for Scientific Software Engineering (Ph.D. course)
• 2022/2023Q4: 1TD722 Programmeringsteknik II (Swedish)
• 2022/2023Q1: 1TD722 Computer Programming II (English)

2021/2022

• 2021/2022Q4: 1TD722 Programmeringsteknik II (Swedish)
• 2021/2022Q1: 1TD722 Computer Programming II (English)

2020/2021

• 2020/2021Q4: 1TD722 Programmeringsteknik II (Swedish)
• 2020/2021Q3: 1TD069 Data Engineering I

Students (since 2020/2021)

Independent Project in Engineering Physics (1TE664)

• 2021/2022Q4: Fredrik Cers, Oliver Groth, and Martin Knebel, Exploring and extending eigensolvers for Toeplitz(-like) matrices (link, report)

Project in Computational Science (1TD307, homepage)

• 2022/2023Q2: Johan Bürger, Jonathan Carlgren, Per William Oskarsson, and Simon Persson Ordering the Eigenvalues of Toeplitz Matrices: Investigating eigenvalue orderings of matrices generated by non-monotone symbols (report)

• 2020/2021Q2: Melker Claesson and David Meadon, Symbol-based Spectral Analysis of Discretisations of the Variable Coeffcient Diffusion Equation (project, report, technical report)

M.Sc. thesis

• David Meadon, A Matrix-less Method for Approximating the Eigenvectors of Toeplitz-like Matrices (presented 2021-08-25, link, pdf)

Contact by email if you are interested in writing a M.Sc. thesis. I can also collaborate when applying for a PostDoc, e.g., Marie Curie.