Study guide of JKU Linz
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Auwea NG
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Mechatronics
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Advanced principles of mathematics and nature sciences for machatronics
Inhalt
[
TM1WCUESTAT
]
UE
Statistical methods
Versionsauswahl
Version
2012W
Es ist eine neuere Version
2023W
dieser LV im Curriculum Master's programme Industrial Mathematics 2023W vorhanden.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
1,5 ECTS
B3 - Bachelor's programme 3. year
Mathematics
Martin Riedler
1 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Bachelor's programme Technical Mathematics 2012W
Objectives
Exercising the methods presented in the lecture VO Statistical Methods.
Subject
Foundations of statistics, individual statistics, parameter estimation, maximum-likelihood estimation, confidence intervals, statistical tests, non-parametric statistics
Criteria for evaluation
Preparation and presentation of the exercises.
Methods
Presentation of exercises prepared at home by the students.
Language
German
Study material
none available
Changing subject?
No
On-site course
Maximum number of participants
25
Assignment procedure
Direct assignment
