This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of SS 2017 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
|available module versions|
|SS 2017||WS 2014/5|
EI7358 is a semester module in English language at Master’s level which is offered in summer semester.
This module description is valid from SS 2014 to WS 2019/20.
|Total workload||Contact hours||Credits (ECTS)|
|150 h||60 h||5 CP|
Content, Learning Outcome and Preconditions
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||2||Pattern Recognition||Köpüklü, O. Rigoll, G.||
Wed, 13:15–14:45, virtuell
|UE||2||Pattern Recognition Exercise||Köpüklü, O. Rigoll, G. Watzel, T.||
Fri, 11:30–13:00, virtuell
Learning and Teaching Methods
In addition to the individual methods of the students, lecture contents are repeated and student understanding is facilitated by practical application in exercises. Exercise sheets are provided in advance of the respective tutorial session and should be solved a s (non-mandatory, ungraded) homework; this includes short programming tasks where Matlab templates are provided.
During the lectures students are instructed in a teacher-centered style.
The exercises are held in a student-centered way.
- Presentations with projected slides
- Lecture and tutorial notes
- Downloadable exercises with solutions
- R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification, 2.Auflage, John Wiley & Sons, 2001.
- C. Bishop, Pattern Recognition and Machine Learning, Springer, 2007
Description of exams and course work
There is a possibility to take the exam in the following semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
|Mon, 2021-03-08, 11:30 till 12:45||0980
||Import||till 2021-01-15 (cancelation of registration till 2021-02-22)|