Daniel Dratschuk

Bachelor’s Degree Courses:

• Analysis I
• Analysis II
• Analysis III
• Complex Analysis
• Linear Algebra I
• Linear Algebra II
• Abstract Algebra
• Stochastics
• Numerical Analysis I
• Computer-Aided Mathematics for Linear Algebra (using numpy)
• Computer-Aided Mathematics for Analysis (using sympy and matplotlib)
• Introduction to Functional Analysis
• Tropical Geometry
• Introduction to Topology

Master’s Degree Courses:

• Seminar: Introduction to Game Theory
• Advanced Seminar on Knot Theory
• Algebraic Number Theory I
• Topology I
• Topology II
• Introduction to Homotopy Theory
• Algebraic Geometry I
• Applied Statistics I (using R)
• Mathematical Statistics I
• Mathematical Statistics II

Bachelor’s Degree Courses:

• Programming
• Algorithms & Data Structures
• Introduction to Computer Networks, Databases, and Operating Systems
• Computer Architecture
• Theoretical Computer Science
• Programming Lab I
• Programming Lab II
• Machine Learning
• Deep Learning
• Data Science 2

Master’s Degree Courses:

• Advanced Deep Learning
• Operating Systems Development (using Rust)
• Isolation and Protection in Operating Systems (using Rust)