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Teaching

Oral examinations SS 17

The oral exams in all compulsory elective courses (ZDSV, DSSV / DSSP, OAF) Dr. Schmalenströer is offering are as follows:

  • Wednesday, 4 October, 2017

Please register for the exam via Paul and put your name in the list in the secretariat Nachrichtentechnik (P 7.2.05.2) to have assigned a time slot. The examination date will be registered in PAUL by secretary`s office and applies as a binding registration.

Oral examinations WS 2017/18

The date for oral exams in all compulsory elective courses Prof. Häb-Umbach is offering are as follows:

  • Tuesday, September 26, 2017
  • Wednesday, September 27, 2017

Please register for the exam via PAUL and put your name in the list in the secretariat Nachrichtentechnik (P7.2.05.2) to have assigned a time slot. The examination date will be registered in PAUL by secretary's office and applies as a binding registration.

The department of communications engineering offers the following lectures and projects.

  • The lectures by Prof. Häb-Umbach are not take place due to a research semester in SS 17 and are offered again in SS 18.

Information for students enrolled in "Electrical Systems Engineering", specialization "Signal and Information Processing": For these students the course "Statistical Learning and Pattern Recognition" is compulsory: The course "Statistical Learning and Pattern Recognition" will not be offered in the summer semester 2017. The next time it will be offered , is the summer semester 2018. Students who do not want to wait until then can take the course "Topics in Pattern Recognition and Machine Learning" as a replacement. That course is offered in the winter semester 2017/2018.

NumberLectureCreditsInstructorWSSS
L.048.10901Communications EngineeringL2/E2
ECTS 5
Häb-Umbach
Ebbers
L.048.23018
L.048.92030
Topics in Pattern Recognition and Maschine Learning
L2/E2
ECTS 6
Häb-Umbach
Heymann
L.048.24010
L.048.92011
Optimal and Adaptive FilterL2/E2
ECTS 6
Schmalenströer
Drude
L.048.21004Statistical Signal ProcessingL2/E2
ECTS 6
Häb-Umbach
Glarner
Heitkämper
L.048.10502Project 'Applied Programming'E2Ullmann
Heymann
L.048.10902Elements of Digital Communication SystemsL2/E2
ECTS 6
Häb-Umbach
L.048.10908Discrete-Time Signal ProcessingL2/E2
ECTS 6
Schmalenströer
L.048.24004Wireless CommunicationL2/E2
ECTS 6
Häb-Umbach
L.048.23012Statistical Methods for Learing and Pattern RecognitionL2/E2
ECTS 6
Häb-Umbach
L.048.24001Digital Speech Signal ProcessingL2/E2
ECTS 6
Schmalenströer
L.048.24011Video Technology
Block
ECTS 6
Bock
L.048.62003Research seminar 'communications engineering'S2
ECTS 3
Häb-Umbach
Schmalenströer
L.048.10809Project seminar communications engineeringS2
ECTS 3
Häb-Umbach
L.048.98005Communications engineering  (Project)P6
ECTS 9
Häb-Umbach
Schmalenströer
L.048.98501Communications and Speech Processing (Project)
P6
ECTS 9
Häb-Umbach
Schmalenströer
L.048.98006Digital Signal Processing (Project)P6
ECTS 9
Häb-Umbach
Schmalenströer

Degree program overview

Bachelor Studies Electrical Engineering (EBA)

1. Study Section Electrical Engineering Studies

  • L.048.10809 Project Seminar Communications Engineering

2. Study Section Electrical Engineering Studies

  • L.048.10901 Communications Engineering

2. Study Section Electrical Engineering Studies: Information Technology

  • L.048.10902 Elements of Digital Communication Systems
  • L.048.10908 Discrete-Time Signal Processing

2. Study Section with Minor Subject Vocational Education

  • L.048.10901 Communications Engineering
  • L.048.10809 Project Seminar Communications Engineering
  • L.048.10902 Elements of Digital Communication Systems
  • L.048.10908 Discrete-Time Signal Processing
Master Studies Electrical Engineering (EMA)

Compulsory Subject

  • L.048.21004 Statistical Signal Processing

Cognitive Systems

  • L.048.23018 Topics in Pattern Recognition and Machine Learning
  • L.048.23012 Statistical Learning and Pattern Recognition

Communications

  • L.048.24010 Optimal and Adaptive Filters
  • L.048.24001 Digital Speech Signal Processing
  • L.048.24011 Video Technology
  • L.048.24004 Wireless Communications

Projects

  • L.048.28006 Digital Signal Processing (Project)
  • L.048.28005 Communications Engineering (Project)
Bachelor Studies Computer Engineering (CEBA)

2. Study Section: Compulsory Area

  • L.048.10901 Communications Engineering

2. Study Section: Mandatory Elective Module Electrical Engineering

  • L.048.10908 Discrete-Time Signal Processing
  • L.048.10902 Elements of Digital Communication Systems
Master Studies Computer Engineering (CEMA)

Compulsory Area

  • L.048.21004 Statistical Signal Processing

Area of Specialisation: Communications and Networks

  • L.048.24010 Optimal and Adaptive Filter
  • L.048.24004 Wireless Communications

Area of Specialisation: Signal, Image and Speech Processing

  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.24010 Optimal und Adaptive Filter
  • L.048.24011 Video Technology
  • L.048.23012 Statistical Learning and Pattern Recognition
  • L.048.24001 Digital Speech Signal Processing
  • L.048.24004 Wireless Communications

Project Group Computer Engineering

  • L.048.28501 Project Group Communications and Speech Processing
Bachelor Studies Business Administration and Engineering (Electrical Engineering) (WGBAET)

Advanced Studies, Compulsory Elective Modules Engineering

  • L.048.10902 Elements of Digital Communication Systems
  • L.048.10908 Discrete-Time Signal Processing
  • L.048.10901 Communications Engineering

Advanced Studies, Project Seminars

  • L.048.62003 Research Seminar Nachrichtentechnik
Master Studies Business Administration and Engineering (Electrical Engineering) (WGMAET)

Compulsory Elective Modules Engineering

  • L.048.24011 Video Technology
  • L.048.24001 Digital Speech Signal Processing
  • L.048.24004 Wireless Communications
  • L.048.23012 Statistical Learning and Pattern Recognition
  • L.048.23018 Topics in Pattern Recognition and Machine Learning
  • L.048.21004 Statistical Signal Processing
  • L.048.24010 Optimal and Adaptive Filters
Teacher Education for Vocational College Teachers for Electrical Engineering

Bachelor Studies

  • L.048.10502 Project Applied Programming

Master Studies: Subject-specific Studies

  • L.048.10901 Communications Engineering
  • L.048.10902 Elements of Digital Communication Systems

Master Studies: Minor Professional Discipline Automation Technology

  • L.048.10908 Discrete-Time Signal Processing
  • L.048.10902 Elements of Digital Communication Systems
  • L.048.23012 Statistical Learning and Pattern Recognition

Master Studies: Minor Professional Discipline Information Technology

  • L.048.24010 Optimal and Adaptive Filters
  • L.048.24004 Wireless Communications
  • L.048.10902 Elements of Digital Communication Systems
  • L.048.24001 Digital Speech Signal Processing
  • L.048.10908 Discrete-Time Signal Processing
  • L.048.24011 Video Technology
Master Studies Electrical Systems Engineering

Compulsory objectives: Module: Signal & Information Processing

  • L.048.92005 Statistical Learning and Pattern Recognition

Compulsory electives: Module: Fundamentals of ESE

  • L.048.92041 Digital Speech Signal Processing

Compulsory electives: Module: Signal & Information Processing

  • L.048.92011 Optimal and Adaptive Filters
  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.92035 Wireless Communications

Compulsory electives: Module: ESE-Electives

  • L.048.92011 Optimal and Adaptive Filters
  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.92005 Statistical Learning and Pattern Recognition
  • L.048.92035 Wireless Communications

Compulsory electives: Projects

  • L.048.28005 Communications Engineering (Project)
  • L.048.28006 Digital Signal Processing (Project)
Project Groups WS 17/18

The preliminary meetings for all project groups will take place on Wednesday, 11 October 2017 at 13:00 in P7.4.02.

Bachelor Studies WS 17/18

Communications Engineering

  • Lecture: Tue 9:00 - 11:00 (P7.2.03)
  • Exercise: Thu 11:00 - 13:00 (P7.2.03)
Master Studies WS17/18

Topics in Pattern Recognition and Maschine Learning

  • Lecture: Thu 14:00 - 15:30 (P7.4.02)
  • Exercise: Thu 15:45 - 17:15 (P7.4.02)

Optimale and Adaptive Filter

    • On appointment

    Statistical Signal Processing

    • Lecture: Tue 14:00 - 15:30 (P1.4.18)
    • Exercise: Tue 16:00 - 17:30 (P1.4.18)
    Contact & Questions
    • Please contact the instructors listed in the table if you have questions or need help.

    The University for the Information Society