Dr. Timm Oertel

Professor

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Biography

Timm Oertel is a Professor at the Department of Data Science, specializing in Analytics and Mixed-Integer Optimization. With extensive experience in statistical analysis and optimization techniques, he has contributed significantly to the field of data science through research and teaching. His work involves complex mathematical modeling and the development of algorithms to solve optimization problems, crucial in various applications including operations research and machine learning. Timm is committed to advancing the academic mission of the department and mentoring students in pursuing their research interests in data science and analytics. He is also involved in collaborative projects that span multiple disciplines, focusing on the practical implementations of data-driven decisions.

Research Interests

Experience

Professor

— Present

Department of Data Science • Munich, Germany

Teaching and conducting research in analytics and mixed-integer optimization.

Requirements for Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Total
Required:85
IELTS
Overall
Required:5
Prerequisites
Bachelor's degree in Computer Science or a closely related subject Proof of relevant subject-specific knowledge (approx. 120 ECTS in CS modules)
Application Checklist
  • Bachelor's degree certificate
  • Transcript of Records
  • Secondary school leaving certificate
  • CV
  • Letter of Motivation
Specialization Notes

Department of Computer Science. Program involves a Qualification Assessment Process (QAP).