Study guide of JKU Linz
Seitenbereiche:
Sprachauswahl:
Sprache:
DE
[
EN
]
.
Studienhandbuch-Login
User ID
Password
.
Menü
Overview
All curricula
External tools
KUSSS
Auwea NG
Positionsanzeige
Artificial Intelligence
»
Elective Tracks
»
Symbolic AI and Mathematical Foundations
»
Mathematical Foundations
Inhalt
[
201UPDGNPDU18
]
UE
Numerical methods for partial differential equations
Versionsauswahl
Version
2023W
2022W
Es ist eine neuere Version
2023W
dieser LV im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
B3 - Bachelor's programme 3. year
Mathematics
Herbert Egger
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Bachelor's programme Technical Mathematics 2022W
Criteria for evaluation
Changing subject?
No
Further information
Until term 2018S known as: TM1WBUENPDG UE Numerical methods for partial differential equations
Earlier variants
They also cover the requirements of the curriculum (from - to)
TM1WBUENPDG: UE Numerical methods for partial differential equations (2003W-2018S)
On-site course
Maximum number of participants
25
Assignment procedure
Direct assignment
