Inhalt

[ 875GMATNSMK12 ] KV Numerical and Symbolic Methods for Bioinformatics

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Mathematics Ulrich Bodenhofer 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Bioinformatics 2013W
Objectives This bridge course aims at upgrading the students' knowledge of mathematics and scientific computing to a level that is necessary for the remaining master curriculum of bioinformatics. The course concentrates on essentials and addresses both the basic mathematical background and computational methods. All computational examples are based on the scientific computing platform R.
Subject
  • Basics of R
  • Probability and statistics
  • Linear algebra (vectors, matrices, and linear equations)
  • Calculus (functions, derivatives, and integrals)
  • Non-linear equations and optimization
Criteria for evaluation Marking is based on homework
Methods Slide presentations complemented by examples presented on the blackboard and online demos
Language English
Study material Electronic course material is made available for download
Changing subject? No
Corresponding lecture BIMPEKVNSME: KV Numerische und symbolische Methoden für BioinformatikerInnen (3 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment