1. Modulverzeichnis (MTS)
  2. Module
  3. Modulbeschreibung anzeigen

Biometric Identification

Display language
To modulepage Generate PDF

#40361 / #1

SS 2014 - SS 2014

English

Biometric Identification

3

Möller, Sebastian

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Softwaretechnik und Theoretische Informatik

34355300 FG S-Professur Quality and Usability

No information

Kontakt


TEL 18

Jettkowski, Tobias

module@qu.tu-berlin.de

https://www.tu.berlin/qu/studium-und-lehre/lehrangebot

Learning Outcomes

- Expertise to assess existing and future approaches to identify and verify users - Knowledge of current technical approaches to classify biometrical features - Ability to do critical (online) literature research - Presentation skills The course is principally designed to impart technical skills 40% method skills 40 % system skills 10% social skills 10%

Content

SE Biometric Identification and Verification This seminar deals with current methods of person identification using biometric measures. Topics include: Foundations of feature extraction and classification, identification and verification; speaker recognition/identification; face recognition/identification; activity-based verification; finger-print verification; 'exotic' verification

Module Components

Pflichtteil:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Biometric Identification and VerificationSEMWiSeNo information2

Workload and Credit Points

Biometric Identification and Verification (SEM):

Workload descriptionMultiplierHoursTotal
Post-processing / computer exercise15.01.0h15.0h
Preparation of oral presentation2.015.0h30.0h
Preparation of written version1.015.0h15.0h
Presence lecture15.02.0h30.0h
90.0h(~3 LP)
The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Lectures with in-class presentations held by participants

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Desirable: Basic signal processing skills and/or usability engineering knowledge

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

No information

Language

English

Test elements

NamePoints/WeightCategorieDuration/Extent
homework20No informationNo information
oral presentation 40No informationNo information
presence lectures 20No informationNo information
written version20No informationNo information

Grading scale

No information

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 30.

Registration Procedures

No prior registration required.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
[1] Duda, R.O., Hart, P.E., Stork, D.G. (2002). Pattern Classification. Wiley.

Assigned Degree Programs

This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

- Bachelor Wirtschaftsingenieurwesen: Elektrotechnik/Informations- und Kommunikationssysteme - Master Technische Informatik: Technische Anwendungen - Master Elektrotechnik: „Ergänzungmodule” - Master Wirtschaftsingenieurwesen: Informations- und Kommunikationssysteme - Master Human Computer Interaction and Design (HCID): Specialisation Multimodal Interaction

Miscellaneous

The topics of the module can serve as a foundation of a diploma or master thesis in the area.