702718 VU/4 VU Advanced Professional Skills 1:

winter semester 2020/2021 | Last update: 14.10.2020 Place course on memo list
702718
VU Advanced Professional Skills 1:
VU 4
7,5
weekly
annually
English

Students have acquired advanced knowledge of the concepts, methods and tools of probability theory and statistics. They have the competence of applying these concepts and methods in concrete practical problems in the engineering sciences.

 

Classical X-ray based computed tomography leads to the mathematical problem of determining a function from integral values ​​of this function along certain lines (described by the Radon transform). In this lecture we will study the following topics, which are relevant for the development of efficient reconstruction algorithms for computed tomography:

·         Fourier transform

·         Radon transform

·         Sampling theory

·         Neural Networks

·         Deep Learning

In addition, we will still study generalized Radon transforms and introduce some modern tomographic methods.

Continuous assessment (based on regular written and/or oral contribution by participants).

Course examination according to § 7, statute section on "study-law regulations"

 

see dates
Group 0
Date Time Location
Wed 2020-10-07
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-10-08
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-10-14
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-10-15
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-10-21
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-10-22
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-10-28
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-10-29
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-11-04
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-11-05
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-11-11
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-11-12
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-11-18
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-11-19
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-11-25
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-11-26
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-12-02
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-12-03
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-12-09
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-12-10
08.30 - 10.00 eLecture - online eLecture - online
Wed 2020-12-16
12.00 - 13.30 eLecture - online eLecture - online
Thu 2020-12-17
08.30 - 10.00 eLecture - online eLecture - online
Thu 2021-01-07
08.30 - 10.00 eLecture - online eLecture - online
Wed 2021-01-13
12.00 - 13.30 eLecture - online eLecture - online
Thu 2021-01-14
08.30 - 10.00 eLecture - online eLecture - online
Wed 2021-01-20
12.00 - 13.30 eLecture - online eLecture - online
Thu 2021-01-21
08.30 - 10.00 eLecture - online eLecture - online
Wed 2021-01-27
12.00 - 13.30 eLecture - online eLecture - online
Thu 2021-01-28
08.30 - 10.00 eLecture - online eLecture - online
Group Booking period
702718-0 2020-09-01 00:00 - 2020-09-30 23:59
Haltmeier M.