Studienhandbuch | VL Mathematics for AI III

Inhalt

Workload	Education level	Study areas	Responsible person	Hours per week	Coordinating university
6 ECTS	B2 - Bachelor's programme 2. year	^(*)Artificial Intelligence	Mario Ullrich	4 hpw	Johannes Kepler University Linz

Detailed information
Original study plan	Bachelor's programme Artificial Intelligence 2022W
Objectives	Part III of the introduction to the basic concepts and methods in the fields of Mathematical Analysis and Linear Algebra.
Subject	Basic measure and integration theory Eigenvalues and eigenvectors of matrices, singular value decomposition Basic functional analysis Vector spaces and linear maps Normed spaces and Hilbert spaces Convergence in normed spaces Reproducing kernel Hilbert spaces Basics and applications of differential equations
Criteria for evaluation	final exam
Language	English
Study material	Manuscript, slides, videos and exercises+solutions can be found on Moodle.
Changing subject?	No

On-site course
Maximum number of participants	-
Assignment procedure	Direct assignment