280326 VU VU Numerical methods (PI) (2019W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 11.09.2019 10:00 to We 25.09.2019 23:59
- Registration is open from Tu 01.10.2019 10:00 to Tu 15.10.2019 23:59
- Deregistration possible until Tu 15.10.2019 23:59
Details
max. 150 participants
Language: German
Lecturers
- Thomas Maindl
- Prashin Jethwa
- Johannes Mayer
- Merja Helena Tölle
- Sebastian Miksch (Student Tutor)
Classes
Lecture: Tuesday weekly from 08.10.2019 to 28.01.2020 15.00-17.30 Place: Lecture hall 3 2A211; UZA II Geo-Zentrum; (and possibly also in 2B201, please inform yourself at the lecturers of the lecture part!)
Information
Aims, contents and method of the course
Statistical methods, test procedures, integration methods for common differential equations, regression and equalization calculus, approximation of functions (splines).
Assessment and permitted materials
Attendance, exercise examples, blackboard reports, tests
Minimum requirements and assessment criteria
Examination topics
Reading list
The lecture documents are provided as PDF files.The content of the corresponding part of the course is also available as a book (amazon.at) and online course (udemy.com):https://www.amazon.de/Introduction-Spline-Interpolation-Examples-Python/dp/1987487370https://www.udemy.com/cubic-spline-interpolation-with-examples-in-pythonwith €9,99 Udemy Coupon Code 20XXNUM-METH:
https://www.udemy.com/cubic-spline-interpolation-with-examples-in-python/?couponCode=20XXNUM-METHTranslated with www.DeepL.com/Translator
https://www.udemy.com/cubic-spline-interpolation-with-examples-in-python/?couponCode=20XXNUM-METHTranslated with www.DeepL.com/Translator
Association in the course directory
Last modified: Tu 01.10.2019 17:09