050101 VO Mathematics for Computer Science Ed. 1 (2008W)
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Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Monday
06.10.
10:00 - 11:15
Seminarraum
Tuesday
07.10.
11:00 - 12:00
Seminarraum
Monday
13.10.
10:00 - 11:15
Seminarraum
Tuesday
14.10.
11:00 - 12:00
Seminarraum
Monday
20.10.
10:00 - 11:15
Seminarraum
Tuesday
21.10.
11:00 - 12:00
Seminarraum
Monday
27.10.
10:00 - 11:15
Seminarraum
Tuesday
28.10.
11:00 - 12:00
Seminarraum
Monday
03.11.
10:00 - 11:15
Seminarraum
Tuesday
04.11.
11:00 - 12:00
Seminarraum
Monday
10.11.
10:00 - 11:15
Seminarraum
Tuesday
11.11.
11:00 - 12:00
Seminarraum
Monday
17.11.
10:00 - 11:15
Seminarraum
Tuesday
18.11.
11:00 - 12:00
Seminarraum
Monday
24.11.
10:00 - 11:15
Seminarraum
Tuesday
25.11.
11:00 - 12:00
Seminarraum
Monday
01.12.
10:00 - 11:15
Seminarraum
Tuesday
02.12.
11:00 - 12:00
Seminarraum
Tuesday
09.12.
11:00 - 12:00
Seminarraum
Monday
15.12.
10:00 - 11:15
Seminarraum
Tuesday
16.12.
11:00 - 12:00
Seminarraum
Monday
12.01.
10:00 - 11:15
Seminarraum
Tuesday
13.01.
11:00 - 12:00
Seminarraum
Monday
19.01.
10:00 - 11:15
Seminarraum
Tuesday
20.01.
11:00 - 12:00
Seminarraum
Monday
26.01.
10:00 - 11:15
Seminarraum
Tuesday
27.01.
11:00 - 12:00
Seminarraum
Information
Aims, contents and method of the course
Assessment and permitted materials
Written exam.
Minimum requirements and assessment criteria
The participants of this course shall get acquainted
with standard mathematical terminology which is necessary
for computer scientists.
with standard mathematical terminology which is necessary
for computer scientists.
Examination topics
Several fundamental concepts of mathematics
shall be explained and discussed (with several examples).
shall be explained and discussed (with several examples).
Reading list
Teschl,G./Teschl,S.(2006): Mathematik für Informatiker. Springer Verlag.
Association in the course directory
Last modified: Mo 07.09.2020 15:29
number theory, relations and functions, sequences and series, combinatorics,
recursions, vector spaces, linear mappings, linear equations,
scalar product and orthogonality, eigenvalues and eigenfunctions