Dr. Jörg Liesen

Professor

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Biography

Jörg Liesen is a prominent figure in the field of Numerical Linear Algebra, specializing in the numerical solutions of linear algebraic problems. His research primarily focuses on large linear systems of equations, eigenvalue problems, and the theoretical and numerical aspects of matrix functions. In addition to these key areas, he investigates complex analysis and the computation of conformal mappings. Liesen is also dedicated to teaching, providing courses in linear algebra directed towards mathematics students and numerical analysis for engineers. His advanced lectures cover topics in numerical linear algebra, matrix theory, and the theory behind Krylov subspace methods.

Research Interests

Courses

Linear Algebra Numerical Analysis Advanced Lectures in Numerical Linear Algebra Matrix Theory

Requirements for Technical University of Berlin

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:87
PTE
Overall
Required:65
Duolingo
Overall Score
Required:120
Overall
Required:120
Prerequisites
Recognized first university degree (Bachelor or equivalent) Specific ECTS in related subjects (e.g., 36 ECTS in Fundamentals of Computer Science for CS programs) Evidence of previous Master's studies (if applicable) Module descriptions of previous study program
Application Checklist
  • Officially certified copy of University degree certificate
  • Transcript of Records
  • Tabular CV
  • Motivation letter (program specific)
  • APS Certificate (for applicants from China, India, and Vietnam)
  • Proof of English proficiency (B2/C1 depending on program)
  • Copy of Passport
  • Preliminary Review Documentation (VPD) from uni-assist
Specialization Notes

Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.