Study guide of JKU Linz
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KUSSS
Auwea NG
Positionsanzeige
Artificial Intelligence
»
Mathematics
Inhalt
[
536MATHAI3V19
]
VL
Mathematics for AI III
Versionsauswahl
Version
2022W
2019W
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