Dr. Arne Johannssen

Instructor

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Biography

Arne Johannssen is a lecturer at the University of Hamburg, where he is engaged in teaching and research within the field of statistics and data science. His academic pursuits primarily focus on the intersection of mathematical statistics and practical applications such as finance, health economics, and industrial engineering. Johannssen is particularly interested in areas like computational statistics, business analytics, and quantitative risk management. His research has been published in reputable journals where he collaborates with fellow scholars on topics including stochastic claims reserving methods, hypothesis testing methodologies, and statistical literacy. He teaches a variety of courses encompassing quantitative finance, risk management, and statistical methods, aimed at students in business disciplines. With an emphasis on decision-making processes and statistical analysis, his educational approach integrates theoretical foundations with practical applications in real-world scenarios.

Research Interests

Courses

Financial and Insurance Mathematics Actuarial Models and Non-Life Insurance Methods Quantitative Finance Quantitative Risk Management Regression Models with Applications in Insurance and Finance Seminar on Quantitative Risk Management Mathematics Bridging Course for Business Mathematics for Business Administrators Mathematics for Business Administrators II Mathematics for Economic Sciences Mathematics Preparatory Course Advanced Mathematics Preparatory Course Business Mathematics Statistics Decision Theory Methods for Decision Making Multivariate Statistics with Applications in Economic Sciences Regression and Time Series Models with Applications in Economic Sciences Statistical Literacy - Misuse of Statistics and Consequences Statistics for Business Administrators Statistics for Business Administrators II Statistics for Teaching Students Statistics with R Statistics with SPSS Statistical Learning Theory Economics Empirical Economic Research and Economic Policy Microeconomics Method-Supporting Software Introduction to LaTeX for Advanced Users

Requirements for University of Hamburg

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree in Computer Science or related field At least 60 ECTS in core computer science subjects
Application Checklist
  • Transcript of Records
  • Bachelor's degree certificate (or preliminary transcript)
  • Proof of English proficiency
  • Curriculum Vitae
  • Letter of Motivation
  • Module descriptions/table of 60 ECTS in CS
Specialization Notes

Includes tracks like Intelligent Adaptive Systems (IAS).