Inhalt

[ 521THEOANLV23 ] VL Analysis for Computer Science

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year Computer Science Johannes Kofler 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Computer Science 2025W
Learning Outcomes
Competences
Students have a basic understanding of the methods and applications of analysis (sequences, series, functions, differential and integral calculus, differential equations) and can apply concrete proof methods.
Skills Knowledge
Students can

  • Tackle complex mathematical problems in a structured and methodical manner (K5)
  • Correctly apply basic concepts of logic and set theory (K5)
  • Investigate, derive and integrate functions for their properties (K5)
  • Achieve optimization tasks in high-dimensional spaces (K4)
  • Solve differential equations (K4)
  • Basics: logic, set theory, proof methods, functions, countability, computability
  • Real and complex numbers
  • Dequences and series
  • Continuous functions
  • Differential calculus in one and several variables
  • Integral calculus in one and several variables
  • Differential equations
Criteria for evaluation Written exam
Methods Blackboard lecture with lecture notes
Language German
Changing subject? No
Corresponding lecture (*)INBPBVOMAT1: VO Mathematik 1 (Analysis) (4,5 ECTS)
Earlier variants They also cover the requirements of the curriculum (from - to)
INBIPVOANLS: VO Analysis (2007W-2023S)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment