TA application / MATH instruktoransøgning

In the application you can apply for a position as teaching assistant in the following 30 courses:

• Algebra
  (mathematics; entire semester)
• Aspects of the History of Mathematics
  (science studies; 7 weeks, 2nd part of semester)
• Calculus Alpha
  (mathematics; entire semester)
• Calculus Beta
  (mathematics; entire semester)
• Calculus Tau
  (mathematics; entire semester)
• Causal Inference
  (data science; entire semester)
• Convex Optimization
  (mathematics-economy; 7 weeks, 1st part of semester)
• Deep Learning
  (data science; entire semester)
• Fourier Analysis
  (mathematics; entire semester)
• Introduction to Data Science
  (data science; entire semester)
• Introduction to Geometry and Topology
  (mathematics; 7 weeks, 2nd part of semester)
• Introduction to Mathematics and Optimisation
  (data science; entire semester)
• Introduction to Probability Theory and Statistics
  (statistics; entire semester)
• Introductory Algebra 1
  (mathematics; 7 weeks, 1st part of semester)
• Introductory Algebra 2
  (mathematics; 7 weeks, 2nd part of semester)
• Investment and Finance
  (mathematics-economy; entire semester)
• Linear Algebra and Calculus
  (mathematics; entire semester)
• Linear Optimization
  (mathematics-economy; entire semester)
• Linear Transformations
  (mathematics; entire semester)
• Macroeconomics
  (mathematics-economy; entire semester)
• Mathematical Analysis 1
  (mathematics; entire semester)
• Multivariate Statistical Analysis
  (statistics; entire semester)
• Philosophy and Ethics of Mathematics
  (science studies; 7 weeks, 1st part of semester)
• Philosophy and Ethics of Science: Chemistry and Medicinal Chemistry
  (science studies; 7 weeks, 2nd part of semester)
• Philosophy and Ethics of Science: Mathematics-Economics
  (science studies; 7 weeks, 2nd part of semester)
• Philosophy and Ethics of Science: Molecular Biology and Molecular Medicine
  (science studies; 7 weeks, 1st part of semester)
• Principles in Mathematics-Economics
  (mathematics-economy; entire semester)
• Statistical Data Analysis using Python
  (statistics; entire semester)
• Statistical Models
  (statistics; entire semester)
• Theory of Measure and Integration
  (mathematics; entire semester)