TA application / MATH instruktoransøgning
Application process for next Autumn is
active
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Deadline:
2024-05-15
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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)